SEIR Hyrbid Model with 1 Pre-Symptomatic Compartment: Pre-Symp and Asymp have same rate with Presymp occuring before Asymp/Symp split No Asymp Tranmission only Pre-Symptomatic
Rahul Subramanian
April 12, 2020
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## as.Date, as.Date.numericlibrary(stringr)We fit a modified SEIR model to case data from the 2019-nCoV epidemic in NYC using case data from () to ().
Declare model name
full_model_name = "NYC_Covid_Model_Hyrbid_Model_1_Pre-Symp_Compartment_Set_b_a_to_0"
model_name = "N_13"
rda_index = 0
rds_index = 0Compartment/Queue Cohort Numbers
M = 5
V = 13
K = 14Model Summary
Process Model
Process Model Diagram
Digram of process for (excluding queue) for simple model.
Process Model Description
The process model is an SEIR model, with compartments for pre-symptomatic, symptomatic, and severe infections.
All individuals start out susceptible (\(S\)). They become infected with force of infection \(\lambda(t)\) and move into the Exposed class (\(E\))
We use chain of \(M= 3\) compartments (\(E_m\) where \(m= 1:M\)) to describe the Exposed class. Individuals leave each compartment at rate \(\phi_E\). They spend an average of \(\frac{1}{\phi_E}\) days in each compartment (exponentially distributed).
As individuals leave the exposed chain, they either develop a symptomatic infection with probability \(p_S\) or an asymptomatic infection with probability \(1-p_S\).
Individuals who develop an asymptomatic infection move from the exposed chain into the Infected Asymptomatic compartment (\(I_A\)). In this compartment, individuals transmit with intensity \(\beta_A\), where \(\beta_A = b_a*\beta\).
Individuals in \(I_A\) recover at rate \(\phi_S\) and move to the recovered asymptomatic compartment \(R_A\), spending an average of \(\frac{1}{phi_S}\) days in the asymptomatic infected compartment.
We note that in this model asymptomatic infections do not have an explicit presymptomatic phase that is distinct from their asymptomatic phase.
Individuals who develop a symptomatic infection experience pre-symptomatic infection (\(I_P\)).
We use chain of \(U= 1\) compartments (\(I_{P}\)) to describe the Infected Presymptomatic class class. Individuals leave each compartment at rate \(\phi_U\). They spend an average of \(\frac{1}{\phi_U}\) days in each compartment (exponentially distributed).
During each of these 1 compartments , individuals are able to (asymptomatically) transmit at rate \(\beta_P\) where \(\beta_P = b_p \beta (t)\).
After leaving the presymptomatic compartment \(I_{P}\), individuals move into the symptomatic infection compartment \(I_S\). Individuals spent an average of 5 days (exponentially distributed) in the symptomatic infection compartment \(I_S\) (they leave at rate \(phi_S = 1/5\) ).
After existing \(I_S\), they enter compartment \(I_{S_2}\) with probability \((1- p_{\text{H_cond_S}})\) (at which point they enter the potentially detected queue Queue 2) or compartment \(I_H\) with probability \(p_{\text{H_cond_S}}\) (at which point they enter the always detected queue Queue 1). Individuals in \(I_{S_2}\) recover at rate \(\gamma\), entering the compartment \(R_F\). Hospitalized individuals recover at rate \(h_V = \frac{1}{13}\) and move into compartment \(R_H\).
Testing Queue/PCR Testing/Measurement Model
Queue Diagrams
Queues 1 and 2 (Hospitalized patients)).
Queues 3 and 4 (Symptomatic patients)).
Description of Queue/Measurement model.
We assume that there are three groups of people
People who will always be tested (once the testing queue has been established). This includes people who were hospitalized with COVID, as well as people who were not hospitalized with COVID but whose doctors’ recommended that they get tested anyway for the purposes of treatment. For simplicity, we do not distinguish between those two groups in our model. These individuals enter Queue 1 (\(Q_1\)). These individuals are tested at the same time and with the same priority as non-COVID individuals who present in the emergency department of a New York City hospital with respiratory symptoms during the epidemic during week \(w\). (\(G(w)\)). These individuals enter Queue NC (\(Q_{\text{NC}}\)). Individuals who test positive for COVID are subsequently re-tested upon leaving the hospital, and again 24 hours after that. We assume that individuals from Queue 1 who tested positive are re-sampled 13 days after they entered Queue 1, and then again 1 more day later. The re-testing is dealt with in Queue 2, which has highest priority after Queue 1 and Queue NC.
People who could potentially be detected if their were enough testing capacity. We assume that these individuals have symptoms of COVID or flu-like symptoms, and make contact with the health care system at the same time as individuals who are hospitalized/deemed critical cases. However, they are only tested if there is enough testing capacity. In our model, these individuals are added to Queue 3 when they enter the \(I_{S_2}\) compartment. Queue 3 is precede in priority by Queues 1,NC, and 2. Samples that test positive contribute to the reported case count that day. This queue has a loss rate given by (\(\frac{1}{gamma}\)), as we assume that individuals will not seek available COVID-testing after their symptoms have gone. If there is insufficient capacity to test individuals as they arrive in Queue 4, they immediately exit the queue. Individuals who test positive in Queue 3 are re-tested two weeks after entering Queue 3, and again 24 hours later. This is dealt with in Queue 4. Samples that test positive do not contribute to the reported case count that day. Samples do not queue here-we assume that unless their is enough testing capacity, symptomatic people who recover are not sampled at the end of the quarantine period, and that the sampling performed on a given day is less than or equal to (not greater than) the surplus testing capacity (\(L_4\)) available for that category on that day.
We assume that if an individual’s sample in queue 1 or 3 is still in the queue at the time they would be expected to either leave the hospital (for Queue 1) or leave quarantine (Queue 3), then they will not be sampled again when they leave quarantine/hospital (i.e. their positive sample will not be entered into Queues 2 or 4). They will however still be tested.
We use the total number of PCR tests conducted each day across the five counties compromising New York City as measured by the New York State Health Department’s COVID tracker as the daily testing capacity for the city. This capacity is fed into the model as a co-variate (\(L(t)\)).
We assume that there is additional negative-binomial distributed dispersion after the PCR testing with standard deviation \(\sigma_{\text{M}}\).
State Variables
statenames = c("S",
sprintf("E_%d",1:M),
"I_A", "I_P",
"I_S_1", "I_S_2", "I_H",
"R_A", "R_F", "R_H",
"A_T","beta_t",
sprintf("Q_1_%d",1:V),
sprintf("P_Q1_%d",1:V),
sprintf("total_samples_for_PCR_Testing_Q1_%d",1:V),
sprintf("total_samples_for_PCR_Testing_lag_1_Q1_%d",1:V),
sprintf("total_samples_for_PCR_Testing_lag_2_Q1_%d",1:V),
"First_re_test_Q1",
"Second_re_test_Q1",
"Backlog_Queue_1",
"total_samples_for_PCR_Testing_backlog_Q1",
"total_samples_for_PCR_Testing_backlog_lag_1_Q1",
"total_samples_for_PCR_Testing_backlog_lag_2_Q1",
sprintf("Q_NC_%d",1:V),
sprintf("total_samples_for_PCR_Testing_QNC_%d",1:V),
sprintf("total_samples_for_PCR_Testing_lag_1_QNC_%d",1:V),
sprintf("total_samples_for_PCR_Testing_lag_2_QNC_%d",1:V),
"neg_samples_Q1",
"neg_samples_Q3",
"neg_samples_Q5",
"total_neg_samples_all_queues",
"Backlog_Queue_NC",
"total_samples_for_PCR_Testing_backlog_QNC",
"total_samples_for_PCR_Testing_backlog_lag_1_QNC",
"total_samples_for_PCR_Testing_backlog_lag_2_QNC",
"Q_2",
"total_samples_for_PCR_Testing_Q2",
sprintf("Q_3_%d",1:K),
sprintf("P_Q3_%d",1:K),
sprintf("total_samples_for_PCR_Testing_Q3_%d",1:K),
sprintf("total_samples_for_PCR_Testing_lag_1_Q3_%d",1:K),
sprintf("total_samples_for_PCR_Testing_lag_2_Q3_%d",1:K),
"First_re_test_Q3",
"Second_re_test_Q3",
"Backlog_Queue_3",
"total_samples_for_PCR_Testing_backlog_Q3",
"total_samples_for_PCR_Testing_backlog_lag_1_Q3",
"total_samples_for_PCR_Testing_backlog_lag_2_Q3",
"Q_4",
"total_samples_for_PCR_Testing_Q4",
"infected_sample_size",
"total_sample_size",
"prob_infected_Q5",
"total_samples_for_PCR_Testing_Q5",
"N",
"L_int",
"L_1",
"L_2",
"L_3",
"L_4",
"Prop_Positive_Tests_Track",
"C_Q1", "C_Q2",
"C_Q3", "C_Q4",
"C_QNC",
sprintf("Y_Q1_%d",1:V), sprintf("Y_QNC_%d",1:V),
sprintf("Y_Q3_%d",1:K),
"Y_Q1_backlog",
"Y_QNC_backlog",
"Y_Q3_backlog",
"Y_sum",
"G_w_y",
"Y_Q5",
"Neg_State_Value_Detected",
"NAN_State_Value_Detected",
"Error_Printing_Complete")
acumvarnames = c("C_Q1", "C_QNC", "C_Q2",
"C_Q3", "C_Q4",
sprintf("Y_Q1_%d",1:V), sprintf("Y_QNC_%d",1:V),
sprintf("Y_Q3_%d",1:K),
"Y_Q1_backlog",
"Y_QNC_backlog",
"Y_Q3_backlog",
"Y_Q5",
"Y_sum", "total_neg_samples_all_queues")
obsnames = c("Y", "obs_prop_positive")Table of State Variables
Start Date
We use a simulation start date of March 1st, but also assume that there was already community transmission at that point. Source for assumption that community transmission was perhaps already occurring by March 1st: https://www.medrxiv.org/content/medrxiv/early/2020/04/16/2020.04.08.20056929.full.pdf
Parameters
paramnames = c("M_0","V_0", "K_0",
"phi_U", "phi_E", "phi_S", "h_V",
"p_S", "p_H_cond_S",
"gamma",
"quarantine_start_time",
"social_distancing_start_time",
"PCR_sens",
"b_q", "b_a", "b_p",
"R_0",
"E_0", "z_0", "N_0", "C_0", "sigma_M",
"beta_w_3", "beta_w_2",
"beta_w_1", "beta_w_0",
"g_0", "g_F",
"sigma_epsilon",
"G_w_y_scaling")Table of Parameters
ODE Equations
Baseline Transmission Rate
\[\begin{equation} \text{total_time_infected} = \frac{1}{\gamma} + \frac{1}{\phi_{\text{S}}}; \end{equation}\]
\[\begin{equation} \beta_{\text{0}} = \frac{R_{\text{0}}} {\text{total_time_infected}} \end{equation}\]
\[\begin{equation} \beta_{\text{1}} = b_{\text{q}} \beta_{\text{0}} \end{equation}\]
if t <= social_distancing_start_time :
\[\begin{equation} \beta(t) = \beta_{\text{0}} \end{equation}\]
else if social_distancing_start_time < t <= quarantine_start_time:
\[\begin{equation} m_q = \frac{\beta_{\text{1}} - \beta_{\text{0}}}{quarantine_start_time - social_distancing_start_time} \end{equation}\]
\[\begin{equation} \beta(t) = \beta_{\text{0}}+m_q*(t-social_distancing_start_time) \end{equation}\]
else if t > quarantine_start_time: \[\begin{equation} \beta(t) = \beta_{\text{1}} \end{equation}\]
Transmission Rate in Pre-symptomatic Compartments
\[\begin{equation} \beta_{\text{p}}(t) = b_{\text{p}}\beta(t) \end{equation}\]
Transmission Rate in Asymptomatic Compartments
\[\begin{equation} \beta_{\text{a}}(t) = b_{\text{a}}\beta(t) \end{equation}\]
Force of Infection
Note that we use $_{}(t) $ to refer to the force of infection in the equations, which corresponds to \(\lambda(t)\) in the process model diagram.
\[\begin{equation} \lambda_{\text{FOI}}(t) = \frac{\beta(t)[( I_{S}(t)) + ( I_{F}(t))] + \beta_{\text{a}}(t)[I_A(t)] + \beta_{\text{p}}(t)[I_P(t)]}{N} \end{equation}\]
Loss Rates
We assume all hospitalized individuals are sampled if the queue is operational, so:
\[\begin{equation} \mu_{\text{1}} = 0 \end{equation}\]
The symptomatic queue, however, does have a loss rate.
\[\begin{equation} \mu_{\text{2}} = \gamma \end{equation}\]
Process Model Compartment Equations
\[\begin{equation} \frac{dS}{dt} = - (\lambda_{\text{FOI}}(t) ) S(t) \end{equation}\]
For exposed compartment \(E_m\) where \(m = 1\): \[\begin{equation} \frac{dE_1}{dt} = (\lambda_{\text{FOI}}(t) ) S(t) -\phi_{\text{E}} E_1 (t) \end{equation}\]
For exposed compartment \(E_m\) where $ 1 < m <= M$:
\[\begin{equation} \frac{dE_m}{dt} = \phi_{\text{E}} E_{m-1}(t) -\phi_{\text{E}} E_m (t) \end{equation}\]
\[\begin{equation} \frac{dI_{\text{P}}}{dt} = \phi_{\text{E}} E_M(t) - \phi_{\text{U}}I_{\text{P}}(t) \end{equation}\]
\[\begin{equation} \frac{dI_{\text{S}_1}}{dt} = p_{\text{S}} \phi_{\text{U}}I_{\text{P}}(t) - \phi_{\text{S}}I_{\text{S}_1}(t) \end{equation}\]
\[\begin{equation} \frac{dI_{\text{H}}}{dt} = p_{\text{H_cond_S}}\phi_{\text{S}}I_{\text{S}_1}(t) -h_{\text{V}}I_{\text{H}}(t) \end{equation}\]
\[\begin{equation} \frac{dI_{\text{S_2}}}{dt} = (1-p_{\text{H_cond_S}})\phi_{\text{S}}I_{\text{S}_1}(t) -\gamma I_{\text{S}_2}(t) \end{equation}\]
\[\begin{equation} \frac{dI_{\text{A}}}{dt} = (1 - p_{\text{S}}) \phi_{\text{U}}I_{\text{P}}(t) - \phi_{\text{S}} I_{\text{A}} \end{equation}\]
\[\begin{equation} \frac{dR_{\text{A}}}{dt} = \phi_{\text{S}} I_{\text{A}} \end{equation}\]
\[\begin{equation} \frac{dR_{\text{F}}}{dt} = \gamma I_{\text{S}_2}(t) \end{equation}\]
\[\begin{equation} \frac{dR_{\text{H}}}{dt} = h_{\text{V}}I_{\text{H}}(t) \end{equation}\]
Equations for model with demographic stochasticity
Rates in continuous time: \[\begin{equation} \mu_{SE_1} = \lambda_{\text{FOI}}(t) \end{equation}\] For \(1<= m < M\) \[\begin{equation} \mu_{E_{m} E_{m+1}} = \phi_{\text{E}} \end{equation}\]
\[\begin{equation} \mu_{E_{\text{M}} I_{\text{P}}} = \phi_{\text{E}} \end{equation}\]
\[\begin{equation} \mu_{I_{\text{P}} I_{\text{A}}} = (1-p_{\text{S}}) \phi_{\text{U}} \end{equation}\]
\[\begin{equation} \mu_{I_{\text{M}} I_{\text{S}_1}} = p_{\text{S}} \phi_{\text{U}} \end{equation}\]
\[\begin{equation} \mu_{I_{\text{S}_1} I_{\text{H}}} = p_{\text{H_cond_S}}\phi_{\text{S}} \end{equation}\]
\[\begin{equation} \mu_{I_{\text{S}_1} I_{\text{S}_2}} = (1-p_{\text{H_cond_S}})\phi_{\text{S}} \end{equation}\]
\[\begin{equation} \mu_{I_{\text{F}} R_{\text{F}}} = \gamma \end{equation}\]
\[\begin{equation} \mu_{I_{\text{A}} R_{\text{A}}} = \phi_{\text{S}} \end{equation}\]
\[\begin{equation} \mu_{I_{\text{H}} R_{\text{H}}} = h_{\text{V}} \end{equation}\]
Discretizations
Discretizations of transitions in susceptible, asymptomatic infected, hospitalized infected, and flu-like infected individuals
\[\begin{equation} \Delta \tilde N_{S E_1} \sim Binomial (\tilde S(t), 1 - e^{-\mu_{S E_1} \Delta t }) \end{equation}\]
For integer \(m\) such that \(1 <= m < M\):
\[\begin{equation} \Delta \tilde N_{E_{m} E_{m+1}} \sim Binomial (\tilde E_{\text{m}}(t), 1 - e^{-\mu_{E_{m} E_{m + 1}} \Delta t }) \end{equation}\]
\[\begin{equation} \Delta \tilde N_{E_{\text{M}} I_{\text{P}}} \sim Binomial (\tilde E_{\text{M}}(t), 1 - e^{-\mu_{E_{\text{M}} I_{\text{P}}} \Delta t }) \end{equation}\]
\[\begin{equation} \Delta \tilde N_{I_{\text{S_2}} R_{\text{F}}} \sim Binomial (\tilde I_{\text{S_2}}(t), 1 - e^{-\mu_{I_{\text{S_2}} R_{\text{F}}} \Delta t }) \end{equation}\]
\[\begin{equation} \Delta \tilde N_{I_{\text{A}} R_{\text{A}}} \sim Binomial (\tilde I_{\text{A}}(t), 1 - e^{-\mu_{I_{\text{A}} R_{\text{A}}} \Delta t }) \end{equation}\]
\[\begin{equation} \Delta \tilde N_{I_{\text{H}} R_{\text{H}}} \sim Binomial (\tilde I_{\text{H}}(t), 1 - e^{-\mu_{I_{\text{H}} R_{\text{H}}} \Delta t }) \end{equation}\]
Eulermultinomial discretization of compartment flows from time \(t\) to time \(t + \Delta t\)
Several compartments (the \(I_{\text{P}}\) and \(I_{\text{S}_1}\) compartments in particular) have more than one exit at each time step (presymptomatic individuals can either develop symptomatic or asymptomatic infection, and symptomatic infected individuals either move to the hospital or develop flu-like symptoms). Instead of a binomial transition probability, we thus use the Euler multinomial distribution to model transition events using the function reulermultinom in the R package pomp as described by He and Ionides (D. He, E. L. Ionides, & A. A. King, Plug-and-play inference for disease dynamics: measles in large and small populations as a case study. J. R. Soc. Interface, 7:271–283, 2010. ).
We use the implemention of eulermultinomial transitions in https://raw.githubusercontent.com/kingaa/sbied/master/measles/measles.R as a guide, although we are not using environmental noise here.
We summarize briefly that function here. Given a population \(X\), a time interval \(\Delta t\), and a set of rates \(r_1 ... r_k\), the number of individuals remaining in that class or moving to other classes is multinomially distributed:
\[\begin{equation} (X-\sum_{i=1}^k (dx_i), dx_1, …, dx_k) \sim Multinomial(X;p_0,p_1,…,p_k) \end{equation}\]
Each probability \(p_j\) where \(j= 1 ... k\) is calculated as follows:
\[\begin{equation} p_j=(1-exp(-\sum_{i = 1}^k (r_i \Delta t))) \frac{r_j}{(\sum_{i= 1}^k (r_i))} \end{equation}\]
For our model:
\[\begin{equation} (\tilde I_{\text{P}}(t) - \Delta \tilde N_{I_{\text{P}} I_{\text{A}}} - \Delta \tilde N_{I_{\text{P}} I_{\text{S}_1}}, \Delta \tilde N_{I_{\text{P}} I_{\text{A}}}, \Delta \tilde N_{I_{\text{P}} I_{\text{S}_1}}) \sim reulermultinomial (\tilde I_{\text{P}}(t), \mu_{I_{\text{P}} I_{\text{A}}}, \mu_{I_{\text{P}} I_{\text{S}_1}}, \Delta t) \end{equation}\]
\[\begin{equation} (\tilde I_{\text{S}_1}(t) - \Delta \tilde N_{I_{\text{S}_1} I_{\text{S}_2}} - \Delta \tilde N_{I_{\text{S}_1} I_{\text{H}}}, \Delta \tilde N_{I_{\text{S}_1} I_{\text{S}_2}}, \Delta \tilde N_{I_{\text{S}_1} I_{\text{H}}}) \sim reulermultinomial (\tilde I_{\text{S}_1}(t), \mu_{I_{\text{S}_1} I_{\text{S}_2}}, \mu_{I_{\text{S}_1} I_{\text{H}}}, \Delta t) \end{equation}\]
Compartment transitions
\[\begin{equation} \Delta \tilde S = - \Delta \tilde N_{S E_{1}} \end{equation}\]
\[\begin{equation} \Delta \tilde E_1 = \Delta \tilde N_{S E_1} - \Delta \tilde N_{E_1 E_{2}} \end{equation}\]
For integer \(m\) in \(1 < m < M\):
\[\begin{equation} \Delta \tilde E_m = \Delta \tilde N_{E_{m-1} E_{m}} - \Delta \tilde N_{E_{m} E_{m+1}} \end{equation}\]
\[\begin{equation} \Delta \tilde E_M = \Delta \tilde N_{E_{M-1} E_{M}} - N_{E_{M} I_{\text{P}}} \end{equation}\]
\[\begin{equation} \Delta \tilde I_{\text{P}} = \Delta N_{E_{M} I_{\text{P}}} - \Delta \tilde N_{I_{\text{P}} I_{\text{S_1}}} - \Delta \tilde N_{I_{\text{P}} I_{\text{A}}} \end{equation}\]
\[\begin{equation} \Delta \tilde I_{\text{S}_1} = \Delta \tilde N_{I_{\text{P}} I_{\text{S_1}}} - \Delta \tilde N_{I_{\text{S}_1} I_{\text{S}_2}} - \Delta \tilde N_{I_{\text{S}_1} I_{\text{H}}} \end{equation}\]
\[\begin{equation} \Delta \tilde I_{\text{S}_2} = \Delta \tilde N_{I_{\text{S}_1} I_{\text{S}_2}} - \Delta \tilde N_{I_{\text{S}_2} R_{\text{F}}} \end{equation}\]
\[\begin{equation} \Delta \tilde I_{\text{H}} = \Delta \tilde N_{I_{\text{S}} I_{\text{H}}} - \Delta \tilde N_{I_{\text{H}} R_{\text{H}}} \end{equation}\]
\[\begin{equation} \Delta \tilde I_{\text{A}} = \Delta \tilde N_{I_{\text{P}} I_{\text{A}}} - \Delta \tilde N_{I_{\text{A}} R_{\text{A}}} \end{equation}\]
\[\begin{equation} \Delta \tilde R_{\text{A}} = \Delta \tilde N_{I_{\text{A}} R_{\text{A}}} \end{equation}\]
\[\begin{equation} \Delta \tilde R_{\text{F}} = \Delta \tilde N_{I_{\text{S}_2} R_{\text{F}}} \end{equation}\]
\[\begin{equation} \Delta \tilde R_{\text{H}} = \Delta \tilde N_{I_{\text{H}} R_{\text{H}}} \end{equation}\]
\[\begin{equation} \Delta \tilde C_{\text{Q1}} = \Delta \tilde N_{I_{\text{S}_1} I_{\text{H}}} \end{equation}\]
\[\begin{equation} \Delta \tilde C_{\text{QNC}} = G(w,y) \end{equation}\]
\[\begin{equation} \Delta \tilde C_{\text{Q3}} = \Delta \tilde N_{I_{\text{S}_1} I_{\text{S}_2}} \end{equation}\]
Non-Flu Case Equations
Let \(G(w,y)\) be the number of non-COVID respiratory syndrome cases presenting in the ED of hosptials in NYC in week \(w\) of year \(y\).
\[\begin{equation} G(w,y) = g_0 + g_{\text{F}} F(w,y) + \beta_{\text{w}^3}w^3 + \beta_{\text{w}^2}w^2 + \beta_{\text{w}^1}w + \beta_{\text{w}^0} + \epsilon \end{equation}\]
where \(F(w,y)\) is the number of confirmed flu cases in NYC, and:
\[\begin{equation} \epsilon \sim rnorm(0,\sigma_{\epsilon}) \end{equation}\]
We multiply \(G(w,y)\) by the probabilty that an individual who shows up to the emergency deparmtnet with respiratory symptoms is severe enough to merit testing for COVID-19. Since we do not know this esimate, we use the ratio of indiviudals aged 65 or older who were hosptialized for flu (279,384) to the number of indivduasl aged 65 or older who had a medical visit for flu during the 2018-2019 flu season (1,721,007). This value was found here in “Table 1: Estimated influenza disease burden, by age group — United States, 2018-2019 influenza season”: https://www.cdc.gov/flu/about/burden/2018-2019.html
The value we use for this scaling is 0.162.
\[\begin{equation} G(w,y) = 0.162 g_0 + g_{\text{F}} F(w,y) + \beta_{\text{w}^3}w^3 + \beta_{\text{w}^2}w^2 + \beta_{\text{w}^1}w + \beta_{\text{w}^0} + \epsilon \end{equation}\]
Load data and covariates for model
Define start date
true_start_date = as.Date("2020-03-01")
t0 = 0
start_of_year = as.Date("2020-01-01")
first_saturday_in_year = as.Date("2020-01-04")Load COVID testing data
NYC_full_testing_data = read.csv("../Generated_Data/NYC_full_testing_data.csv")
head(NYC_full_testing_data)## Test.Date New_Positives Cumulative_Number_of_Positives
## 1 03/02/2020 0 0
## 2 03/03/2020 0 0
## 3 03/04/2020 2 2
## 4 03/05/2020 2 4
## 5 03/06/2020 7 11
## 6 03/07/2020 0 11
## Total_Number_of_Tests_Performed Cumulative_Number_of_Tests_Performed
## 1 0 0
## 2 8 8
## 3 8 16
## 4 36 52
## 5 45 97
## 6 64 161
## Prop_Pos Not_Pos Date
## 1 NA 0 2020-03-02
## 2 0.00000000 8 2020-03-03
## 3 0.25000000 6 2020-03-04
## 4 0.05555556 34 2020-03-05
## 5 0.15555556 38 2020-03-06
## 6 0.00000000 64 2020-03-07Observed_data = NYC_full_testing_data %>%
mutate(times = as.numeric(as.Date(Date) - true_start_date)) %>%
select(Y = New_Positives, times,
obs_prop_positive = Prop_Pos)
Observed_data = Observed_data %>%
filter(times < 90)
head(Observed_data)## Y times obs_prop_positive
## 1 0 1 NA
## 2 0 2 0.00000000
## 3 2 3 0.25000000
## 4 2 4 0.05555556
## 5 7 5 0.15555556
## 6 0 6 0.00000000write.csv(Observed_data,
file = paste0("../Generated_Data/observed_data_", model_name, ".csv"),
row.names = FALSE)Load in testing data covariates
testing_data = NYC_full_testing_data %>%
select(L = Total_Number_of_Tests_Performed, Date)
orig_testing_df = testing_data %>%
mutate(times = as.numeric(as.Date(Date) - true_start_date)) %>%
dplyr::select(times,L_orig = L)
testing_data = testing_data %>%
mutate(Adj_Date = as.Date(Date) -2) %>%
mutate(times = as.numeric(Adj_Date - true_start_date)) %>%
mutate(Week = (ceiling(as.numeric(Adj_Date - first_saturday_in_year)/7)) + 1,
Year = year(Adj_Date)) %>%
dplyr::select(times,L_advanced_2_days = L, Week, Year)
testing_data = join(testing_data, orig_testing_df)## Joining by: times # Assign 0 to start date orig testing
testing_data$L_orig[1] = 0
testing_data$L_orig[2] = 0Load in Flu data
Load in
NYC_region_confirmed_flucases_NY_state_2020 = read.csv(
file = "../Generated_Data/NYC_region_confirmed_flucases_NY_state_2020.csv")
NYC_flu_data = NYC_region_confirmed_flucases_NY_state_2020 %>%
dplyr::select(Week = Week, Year = Year, F_w_y = Confirmed_Flu_Cases)Adjust-assume that 0 cases were reported in later weeks (when surveillance was halted).
flu_data_missing_weeks = data.frame(Week = seq(from = max(NYC_flu_data$Week) +1,
to = max(testing_data$Week) +1),
Year = 2020,
F_w_y = 0)
NYC_flu_data_adj = rbind(NYC_flu_data,
flu_data_missing_weeks)Assemble covariate data frame
covariate_df = join(testing_data,
NYC_flu_data_adj,
by = c("Week", "Year"))
head(covariate_df)## times L_advanced_2_days Week Year L_orig F_w_y
## 1 -1 0 9 2020 0 2700
## 2 0 8 10 2020 0 2413
## 3 1 8 10 2020 0 2413
## 4 2 36 10 2020 8 2413
## 5 3 45 10 2020 8 2413
## 6 4 64 10 2020 36 2413write.csv(covariate_df,
file = paste0("../Generated_Data/covariate_data_", model_name, ".csv"),
row.names = FALSE)Create covariate table
# ---- covar ----
covar=covariate_table(
time=covariate_df$times,
L_advanced_2_days=covariate_df$L_advanced_2_days,
L_orig = covariate_df$L_orig,
F_w_y = covariate_df$F_w_y,
w = covariate_df$Week,
y = covariate_df$Year,
times="time"
)fitted_NC_model_params = read.csv(
file = "../Generated_Data/fitted_NC_model_params.csv")
g_F = fitted_NC_model_params$g_F/7
g_0 = fitted_NC_model_params$g_0/7
beta_w_3 = fitted_NC_model_params$Beta_w_3/7
beta_w_2 = fitted_NC_model_params$Beta_w_2/7
beta_w_1 = fitted_NC_model_params$Beta_w_1/7
beta_w_0 = fitted_NC_model_params$Beta_w_0/7
sigma_epsilon = fitted_NC_model_params$sigma_epsilon/7
g_F## [1] 0.1162005g_0## [1] 1183.3beta_w_3## [1] 0.01215073beta_w_2## [1] 0.9810086beta_w_1## [1] -37.23481beta_w_0## [1] 229.4094sigma_epsilon## [1] 109.1121fitted_NC_model_params = data.frame(g_F = g_F, g_0 =g_0, beta_w_2 = beta_w_2,
beta_w_1 = beta_w_1,
beta_w_0 = beta_w_0,
sigma_epsilon = sigma_epsilon)Motivating Literature and Justification of Compartment Numbers
We follow the results of Mizuomoto et al (Eurosurveilance 2020) from the Diamond Princess Cruise-ship outbreak.
https://www.eurosurveillance.org/content/10.2807/1560-7917.ES.2020.25.10.2000180#html_fulltext
In their model, they assume that individuals experience an incubation period between the time of infection and the onset of symptoms which is given by a Weibull distribution with mean 6.4 days and standard deviation of 2.3 days (they cite Backer et al for justification).
They assume that some proportion \(p\) of those infections never become symptomatic (these are the asymptomatic infections).
We will build on their model here. We will use a Gamma distribution to approximate the weibull. This gamma distribution will be approximated using a chain of exponentially distributed compartments.
A key question that is important for model structure is whether individuals can transmit during the period when they are asymptomatic. Some models focus on pre-symptomatic transmission, assuming that are all individuals who are infected with COVID initially have a period of pre-symptomatic transmission. Some individuals never go on to develop symptoms.
In these models, this pre-symptomatic transmission can be modeled by allowing individuals to transmit at a reduced rate during the later stages of the incubation period essentially partitioning what Backer et al consider the incubation period into two compartments: a latent period where no transmission occurs and a pre-symptomatic transmission period where transmission can occur.
Other models view asymptomatic transmission as a bifurcation-that is, some individuals are able to transmit asymptomatically while others develop symptoms.
We combine both approaches in our model.
We assume following Backer et al that the time between infection and the onset of symptoms follows a gamma distribution with mean 6.5 days and variance 2.6 days. This is approximated using a chain of 6 compartments with an exponentially distributed average time of 13/12 days spent in each compartment. However, we then assume that during the first 3 compartments, no infected individuals can transmit (these are the Exposed Compartments \(E_m\)). For the fraction \(p_S\) of individuals leaving the last exposed compartment who will develop symptoms, we treat the remaining 3 compartments as the pre-symptomatic transmission period \(I_{P_q}\).
Asymptomatic individuals (fraction \(1-p_S\) of individuals leaving the last exposed compartment) instead start transmitting asymptomatically for an average of 5 days (\(\phi_S = 1/5\)). We assume here that asymptomatic individuals transmit for the same amount of time as the duration between the onset of symptoms and the time of sampling in symptomatic individuals.
More info on asymptomatic transmission: https://wwwnc.cdc.gov/eid/article/26/7/20-1595_article
Nishiura et al obtain a different estimate of the incubation period-namely an incubation period of 5.0 days and a serial interval of 4 days, which would suggest that (in our model) inidivduals spend about 4 days in the exposed class and 1 day in the pre-symptomatic class. https://www-sciencedirect-com.proxy.uchicago.edu/science/article/pii/S1201971220301193
In their paper, median serial interval of the best-fit Weibull distribution model was estimated at 4.6 days (95% CI: 3.5, 5.9) with a mean and SD of 4.8 days (95% CrI: 3.8, 6.1) and 2.3 days (95% CrI: 1.6, 3.5),
Lognormal: . “The median serial interval was estimated at 4.0 days (95% credible interval [CrI]: 3.1, 4.9) while the mean and standard deviation (SD) of the serial interval were estimated at 4.7 days (95% CrI: 3.7, 6.0) and 2.9 days (95% CrI: 1.9, 4.9), respectively. Without truncation, the model using the lognormal distribution was also the best-fit model (WAIC = 128.0) with the median serial interval estimated at 3.9 days (95% CrI: 3.1, 4.8).”
We use Lauer et al here: https://www.acpjournals.org/doi/10.7326/M20-0504#t4-M200504
Determining number of total compartments V
Let us then parameter the distribution assuming that we know \(\mu_V\) and \(V\) (the number of Exposed compartments).
Writing the \(\Gamma\) distribution in the form of shape \(V\) and rate \(\lambda_V\) we have:
\[\begin{equation} \Gamma(V, \lambda_V) \sim \sum_{m = 1}^V exp(\lambda_V) \end{equation}\]
In the case of Lauer et al, \(V = 5.807\), and \(\lambda_V = 1/ 0.948\) or \(\lambda_V = 1.054852\)
Now re-writing the \(\Gamma\) distribution in terms of mean and variance we have:
\[\begin{equation} \Gamma(\frac{V}{\lambda_V}, \frac{V}{\lambda_V^2}) \sim \sum_{m = 1}^V exp(\lambda_V) \end{equation}\]
Solve for \(\lambda_V\):
\[\begin{equation} \mu_E = \frac{V}{\lambda_V} \end{equation}\]
\[\begin{equation} \lambda_V = \frac{V}{\mu_E} \end{equation}\]
Plugging in, we obtain:
\[\begin{equation} \mu_E = \frac{5.807}{1.054852} \end{equation}\]
\[\begin{equation} \mu_E = 5.505038 \end{equation}\]
Solve for the variance of the resulting \(Gamma\) distributed duration of infection:
\[\begin{equation} \sigma^2_E = \frac{V}{\lambda_V^2} \end{equation}\]
\[\begin{equation} \sigma^2_E = \frac{V}{(\frac{V}{\mu_E})^2} \end{equation}\]
\[\begin{equation} \sigma^2_E = \frac{V}{\frac{V^2}{\mu_E^2}} \end{equation}\]
\[\begin{equation} \sigma^2_E = \frac{\mu_E^2 V}{V^2} \end{equation}\]
\[\begin{equation} \sigma^2_E = \frac{\mu_E^2}{V} \end{equation}\]
Plugging in \[\begin{equation} \sigma^2_E = \frac{5.505038^2}{5.807} \end{equation}\]
\[\begin{equation} \sigma^2_E = 5.218778 \end{equation}\]
\[\begin{equation} \sigma_E = 2.284464 \end{equation}\]
Note that for a given mean, increasing the number of compartments decreases the variance.
We will use \(V=6\), corresponding to 6 compartments, but set $_V $ to obtain the observed mean of 5.505038 days.
\[\begin{equation} \lambda_V = \frac{V}{\mu_E} \end{equation}\]
\[\begin{equation} \lambda_V = \frac{6}{5.505038} \end{equation}\]
\[\begin{equation} \lambda_V = 1.09 \end{equation}\]
The actual standard deviation of the gamma distribution is \[\begin{equation} \sigma^2_E = \frac{\mu_E^2}{V} \end{equation}\]
\[\begin{equation} \sigma^2_E = \frac{5.505038^2}{6} \end{equation}\]
\[\begin{equation} \sigma^2_E = 5.050907 \end{equation}\]
\[\begin{equation} \sigma_E = 2.25 \end{equation}\]
Our approximation of the incubation period is equivalent to a gamma distribution with mean 5.5 days and standard deviation 2.25, compared to a gamma distribution with mean 5.5 and standard deviation 2.28 from Lauer et al.
For ease of notation, we will use \(\phi_E\) to refer to \(\lambda_V\) to avoid confusion with the force of infection.
We are using \(V= 6\) compartments with \(\phi_E = 1.09\), which means that each individual spends about \(0.92\) days in each compartment (around 1 day) although of course this is an approximation.
Estimating the number of compartments with pre-symptomatic transmission
A model fit to COVID day in Hong Kong estimated the length of the pre-symptomatic transmission period to be 3.49 days, although with a wide posterior (Yuan et al) (Posterior distribution 0.48-5.80). Source (https://doi.org/10.1101/2020.05.03.20089482)
In terms of clinical data, a study of a retirement home in the state of Washington found evidence of pre-symptomatic transmission.
Source:
Kimball A, Hatfield KM, Arons M, et al. Asymptomatic and Presymptomatic SARS-CoV-2 Infections in Residents of a Long-Term Care Skilled Nursing Facility — King County, Washington, March 2020. MMWR Morb Mortal Wkly Rep 2020;69:377–381. DOI: http://dx.doi.org/10.15585/mmwr.mm6913e1
Patients were sampled twice. Of 13 patients who were asymptomatic during the first testing, 10 became symptomatic within 1 week. Asymptomatic patients had low C_t values, suggesting potential for transmission even though they were asymptomatic.
A second study from Singapore looking at travelers from China found indications of asymptomatic transmission.
Source: Wei WE, Li Z, Chiew CJ, Yong SE, Toh MP, Lee VJ. Presymptomatic Transmission of SARS-CoV-2 — Singapore, January 23–March 16, 2020. MMWR Morb Mortal Wkly Rep 2020;69:411–415. DOI: http://dx.doi.org/10.15585/mmwr.mm6914e1
Last study (cluster in Zhoushan)-evidence of asymptomatic transmission, not necessarily pre-symptomatic.
Source: Tong Z, Tang A, Li K, Li P, Wang H, Yi J, et al. Potential Presymptomatic Transmission of SARS-CoV-2, Zhejiang Province, China, 2020. Emerg Infect Dis. 2020;26(5):1052-1054. https://dx.doi.org/10.3201/eid2605.200198
Our model’s treatment of the pre-symptomatic period
The pre-symptomatic transmission chain \(I_{P}\) has 1 compartments (\(U=1\)). The average duration that they spend in those compartments will be around 0.92 days in line with Nishiura et al https://www-sciencedirect-com.proxy.uchicago.edu/science/article/pii/S1201971220301193 . The time spent across the \(I_P\) compartment will be exponentially disrtributed with mean \(0.92\) days. Thus, in terms of the total incubation period of 5 compartments, 4 will be represented as Exposed compartments and 1 as an Infected Presymptomatic Compartment.
low_025 = qgamma(p = 0.025, shape = 3, rate= 12/13)
upper_975 = qgamma(p = 0.975, shape = 3, rate= 12/13)
low_025## [1] 0.6702281upper_975## [1] 7.826745nishiura_median_serial_interval = 3.9
dist_comp = data.frame(lauer_gamma_dist = rgamma(n = 1000, shape = 5.807,
scale = 0.948))
p = ggplot(data = dist_comp,
aes(x = lauer_gamma_dist)) +
geom_density()
p
backer_gamma_mean = 6.5
backer_gamma_sd = 2.6
backer_gamma_shape =backer_gamma_mean^2/backer_gamma_sd^2
backer_gamma_rate = backer_gamma_shape/backer_gamma_mean
dist_comp$backer_gamma_dist = rgamma(n = 1000, shape = backer_gamma_shape,
rate = backer_gamma_rate)
dist_comp_melt = melt(dist_comp)## No id variables; using all as measure variablesp = ggplot(data = dist_comp_melt,
aes(x = value, color = variable)) +
geom_density() + geom_vline(xintercept = median(dist_comp$backer_gamma_dist), color = 'blue', show.legend = TRUE, name = "backer_median") + geom_vline(xintercept = median(dist_comp$lauer_gamma_dist), color = 'red', show.legend = TRUE, name = "lauer_median") ## Warning: Ignoring unknown parameters: name
## Warning: Ignoring unknown parameters: namep
lauer_approx_comp = dist_comp %>%
dplyr::select(lauer_gamma_dist)
lauer_approx_comp$total_time_in_E_and_I_P_chain = rgamma(n = 1000, shape = 6,
rate = 1.09)
lauer_approx_comp_melt = melt(lauer_approx_comp)## No id variables; using all as measure variablesp = ggplot(data = lauer_approx_comp_melt,
aes(x = value, color = variable)) +
geom_density() +
geom_vline(xintercept = median(lauer_approx_comp$total_time_in_E_and_I_P_chain), color = 'blue', show.legend = TRUE, name = "total_time_in_E_and_I_P_median") + geom_vline(xintercept = median(lauer_approx_comp$lauer_gamma_dist), color = 'red', show.legend = TRUE, name = "lauer_median") ## Warning: Ignoring unknown parameters: name
## Warning: Ignoring unknown parameters: namep
model_chain_comp_df = lauer_approx_comp %>%
dplyr::select(total_time_in_E_and_I_P_chain)
model_chain_comp_df$total_time_in_E_chain = rgamma(n = 1000, shape = 5,
rate = 1.09)
model_comp_melt = melt(model_chain_comp_df)## No id variables; using all as measure variablesp = ggplot(data = model_comp_melt,
aes(x = value, color = variable)) +
geom_density() +
geom_vline(xintercept = median(model_chain_comp_df$total_time_in_E_and_I_P_chain), color = 'red', show.legend = TRUE, name = "total_time_in_E_and_I_P_median") + geom_vline(xintercept = median(model_chain_comp_df$total_time_in_E_chain), color = 'blue', show.legend = TRUE, name = "time_in_E_chain") + geom_vline(xintercept = nishiura_median_serial_interval, color = 'darkgreen', show.legend = TRUE, name = "nishiura_median_serial_interval")## Warning: Ignoring unknown parameters: name
## Warning: Ignoring unknown parameters: name
## Warning: Ignoring unknown parameters: namep
median(dist_comp$lauer_gamma_dist)## [1] 5.3556median(dist_comp$backer_gamma_dist)## [1] 6.147902gamma_vs_exp_comp = model_chain_comp_df %>%
dplyr::select(total_time_in_E_chain)
gamma_vs_exp_comp$exp_approx = rexp(n = 1000,rate = 1/(5*(1/1.09)))
gamma_vs_exp_comp_melt = melt(gamma_vs_exp_comp)## No id variables; using all as measure variablesp = ggplot(data = gamma_vs_exp_comp_melt,
aes(x = value, color = variable)) +
geom_density() +
geom_vline(xintercept = median(gamma_vs_exp_comp$exp_approx), color = 'blue', show.legend = TRUE, name = "total_time_in_E_median") + geom_vline(xintercept = median(gamma_vs_exp_comp$total_time_in_E_chain), color = 'red', show.legend = TRUE, name = "E_approx_median") ## Warning: Ignoring unknown parameters: name
## Warning: Ignoring unknown parameters: namep
Capacity Calculations
We have the line \[\begin{equation} L_{\text{int}} = \text{nearbyint}(L) \end{equation}\] The variable \(L_{\text{int}}\) is used later in the code instead of \(L\). This line of code is where we will decide which covariate to feed in as the testing capacity.
Note that we advance the testing capacity by 2 days from the observed value, since the testing capacity on day \(t\) will correspond to the number of tests conducted on day \(t+2\).
\[\begin{equation} L_{\text{int}} = \text{nearbyint}(L_{\text{total_pos_advnaced_2_days}}) \end{equation}\]
Queue 1
Initial states
\[\begin{equation} \text{neg_samples}_{Q1}(t) = 0 \end{equation}\]
Add new cases to Q1
\[\begin{equation} Q_{1_1}(t) = Q_{1_1}(t) + C_{Q1}(t) \end{equation}\]
Add new cases to Q_NC
\[\begin{equation} Q_{NC_1}(t) = Q_{NC_1}(t) + C_{QNC}(t) \end{equation}\]
Determine number of samples that will be tested from the backlog of Queue 1
First, deal with backlog Calculate total backlog for Q1 and QNC \[\begin{equation} \text{total_samples_for_PCR_Testing_backlog_always_test} = \\text{Backlog_Queue_1}(t), \text{Backlog_Queue_{\text{NC}}}(t) \end{equation}\]
If Backlog is greater than testing capacity (i.e. \(\text{total_samples_for_PCR_Testing_backlog_always_test} > L_{\text{int}}(t)\):
\[\begin{equation} \text{total_samples_for_PCR_Testing_backlog}_{text{Q1}} \sim hypergeom(\text{Backlog_Queue_1}(t), \text{Backlog_Queue_{\text{NC}}}(t), L_{\text{int}}(t)) \end{equation}\]
\[\begin{equation} \text{total_samples_for_PCR_Testing_backlog}_{text{QNC}} = L_{\text{int}}(t)) - \text{total_samples_for_PCR_Testing_backlog}_{text{Q1}} \end{equation}\]
\[\begin{equation} \text{Backlog_Queue_1}(t) = \text{Backlog_Queue_1}(t) - \text{total_samples_for_PCR_Testing_backlog}_{text{Q1}} \end{equation}\]
\[\begin{equation} \text{Backlog_Queue_NC}(t) = \text{Backlog_Queue_NC}(t) - \text{total_samples_for_PCR_Testing_backlog}_{text{QNC}} \end{equation}\]
\[\begin{equation} L_1(t) = 0 \end{equation}\]
Else (if the testing capcity is greater than the backlog):
\[\begin{equation} \text{total_samples_for_PCR_Testing_backlog}_{\text{Q1}} = \text{Backlog_Queue_1}(t) \end{equation}\]
\[\begin{equation} \text{total_samples_for_PCR_Testing_backlog}_{\text{QNC}} = \text{Backlog_Queue_NC}(t) \end{equation}\]
\[\begin{equation} L_1(t) = L_{\text{int}}(t) - \text{total_samples_for_PCR_Testing_backlog}_{\text{Q1}} - \text{total_samples_for_PCR_Testing_backlog}_{\text{QNC}} \end{equation}\]
\[\begin{equation} \text{Backlog_Queue_1}(t) = 0 \end{equation}\]
\[\begin{equation} \text{Backlog_Queue_NC}(t) = 0 \end{equation}\]
Simulate PCR for backlogged cases in Q1
\[\begin{equation} Y_{Q1_{\text{backlog}}}(t) = \sim Binomial(\text{total_samples_for_PCR_Testing_backlog_lag_2}_{\text{Q1}}, \text{PCR_sens}) \end{equation}\]
\[\begin{equation} Y_{QNC_{\text{backlog}}}(t) = \text{total_samples_for_PCR_Testing_backlog_lag_2}_{\text{QNC}} \end{equation}\]
\[\begin{equation} \text{neg_samples_Q1}_{Q1}(t) = \text{neg_samples}_{Q1}(t) + \text{total_samples_for_PCR_Testing_backlog_lag_2}_{\text{Q1}} - Y_{Q1}(t) \end{equation}\]
Update PCR testing compartments for Q1 backlog
\[\begin{equation} \text{total_samples_for_PCR_Testing_backlog_lag_2}_{\text{Q1}} = \text{total_samples_for_PCR_Testing_backlog_lag_1}_{\text{Q1}} \end{equation}\]
\[\begin{equation} \text{total_samples_for_PCR_Testing_backlog_lag_2}_{\text{QNC}} = \text{total_samples_for_PCR_Testing_backlog_lag_1}_{\text{QNC}} \end{equation}\]
\[\begin{equation} \text{total_samples_for_PCR_Testing_backlog_lag_1}_{\text{Q1}} = \text{total_samples_for_PCR_Testing_backlog}_{\text{Q1}} \end{equation}\]
\[\begin{equation} \text{total_samples_for_PCR_Testing_backlog_lag_1}_{\text{QNC}} = \text{total_samples_for_PCR_Testing_backlog}_{\text{QNC}} \end{equation}\]
Determine number of samples that will be tested from each sampling cohort of Queue 1
Loop through each cohort in Queue 1 \(Q_{1_v}\) (and Queue NC \(Q_{NC_v}\)) starting with the oldest (\(Q_{1_V}\)/\(Q_{NC_V}\)) and ending with the most recent \(Q_{1_1}\)/\(Q_{NC_1}\).
If L_1 is smaller than cohort (i.e. $ L_1(t) < (Q_{1_v}(t) + Q_{NC_v}(t))$ :
\[\begin{equation} \text{total_samples_for_PCR_Testing}_{\text{Q1}_v}(t) \sim hypergeom(Q_{1_v}(t), Q_{NC_v}(t), L_1(t)) \end{equation}\]
\[\begin{equation} \text{total_samples_for_PCR_Testing}_{\text{QNC}_v}(t) = L_1(t) - \text{total_samples_for_PCR_Testing}_{\text{Q1}_v}(t) \end{equation}\]
\[\begin{equation} Q_{1_m}(t) = Q_{1_v}(t) - \text{total_samples_for_PCR_Testing}_{\text{Q1}_v}(t) \end{equation}\]
\[\begin{equation} Q_{NC_m}(t) = Q_{NC_v}(t) - \text{total_samples_for_PCR_Testing}_{\text{QNC}_v}(t) \end{equation}\]
\[\begin{equation} L_1(t) = 0 \end{equation}\]
Else
\[\begin{equation} \text{total_samples_for_PCR_Testing}_{\text{Q1}_v}(t) = Q_{1_v}(t) \end{equation}\]
\[\begin{equation} \text{total_samples_for_PCR_Testing}_{\text{QNC}_v}(t) = Q_{NC_v}(t) \end{equation}\]
\[\begin{equation} Q_{1_v}(t) = 0 \end{equation}\]
\[\begin{equation} Q_{NC_v}(t) = 0 \end{equation}\]
\[\begin{equation} L_1(t) = L_1(t) - \text{total_samples_for_PCR_Testing}_{\text{Q1}_v}(t) - \text{total_samples_for_PCR_Testing}_{\text{QNC}_v}(t) \end{equation}\]
Simulate PCR Testing on each sampling cohort in Q1
Loop over all cohorts \(v\) from \(1:V\)
\[\begin{equation} Y_{Q1_{v}}(t) = \sim Binomial(\text{total_samples_for_PCR_Testing_lag_2}_{\text{Q1}_v}(t), \text{PCR_sens}) \end{equation}\]
\[\begin{equation} Y_{QNC_{v}}(t) = (\text{total_samples_for_PCR_Testing_lag_2}_{\text{QNC}_v}(t) \end{equation}\]
\[\begin{equation} \text{neg_samples_Q1}_{Q1}(t) = \text{neg_samples_Q1}_{Q1}(t) + \text{total_samples_for_PCR_Testing_lag_2}_{\text{Q1}_v}(t) - Y_{Q1_{v}}(t) \end{equation}\]
Update lags for total samples for PCR testing for Q1
\[\begin{equation} \text{total_samples_for_PCR_Testing_lag_2}_{\text{Q1}_v}(t) = \text{total_samples_for_PCR_Testing_lag_1}_{\text{Q1}_v}(t) \end{equation}\]
\[\begin{equation} \text{total_samples_for_PCR_Testing_lag_2}_{\text{QNC}_v}(t) = \text{total_samples_for_PCR_Testing_lag_1}_{\text{QNC}_v}(t) \end{equation}\]
\[\begin{equation} \text{total_samples_for_PCR_Testing_lag_1}_{\text{Q1}_v}(t) = \text{total_samples_for_PCR_Testing}_{\text{Q1}_v}(t) \end{equation}\]
\[\begin{equation} \text{total_samples_for_PCR_Testing_lag_1}_{\text{QNC}_v}(t) = \text{total_samples_for_PCR_Testing}_{\text{QNC}_v}(t) \end{equation}\]
Update positive case matrix (\(P_{\text{Q1}}\))
For all daily sampling cohorts \(v\) within the last 14 days:
\[\begin{equation} P_{\text{Q1}_v}(t) = P_{\text{Q1}_v}(t) + Y_{Q1_{v}}(t) \end{equation}\]
Re-testing (Add lagged positive samples from Queue 1 into Queue 2)
The state variable \(\text{First_re_test}_{\text{Q1}}(t)\) are samples that were first re-sampled during the previous day. They now need to be re-sampled a second time.
\[\begin{equation} \text{Second_re_test}_{\text{Q1}}(t) = \text{First_re_test}_{\text{Q1}}(t) \end{equation}\]
\[\begin{equation} C_{Q2}(t) = \text{Second_re_test}_{\text{Q1}}(t) \end{equation}\]
Let \(V\) be the oldest cohort stored (\(V = 13\)). This cohort will have their first re-sampling conducted.
\[\begin{equation} \text{First_re_test}_{\text{Q1}}(t) = P_{\text{Q1}_V}(t) \end{equation}\]
\[\begin{equation} C_{Q2}(t) = C_{Q2}(t) + \text{First_re_test}_{\text{Q1}}(t) \end{equation}\]
Increment Q1 Sampling Cohorts
For \(v\) in \(2:V\):
\[\begin{equation} P_{\text{Q1}_{\text{old}_{v}}} = P_{\text{Q1}_v}(t) \end{equation}\]
\[\begin{equation} P_{\text{Q1}_v}(t) = P_{\text{Q1}_{\text{old}_{v-1}}} \end{equation}\]
For the case when \(v=1\):
\[\begin{equation} P_{\text{Q1}_1}(t) = 0 \end{equation}\]
For integer \(v\) in \(1:V\):
\[\begin{equation} Q_{1_{\text{old}_v}} = Q_{1_v}(t) \end{equation}\]
\[\begin{equation} Q_{NC_{\text{old}_v}} = Q_{NC_v}(t) \end{equation}\]
For the case where \(v = V\)
\[\begin{equation} \text{Backlog_Queue_1}(t) = \text{Backlog_Queue_1}(t) + Q_{1_{\text{old}_V}} \end{equation}\]
\[\begin{equation} \text{Backlog_Queue_NC}(t) = \text{Backlog_Queue_NC}(t) + Q_{NC_{\text{old}_V}} \end{equation}\]
For integer \(v\) in \(v >1\) and \(v <= V\):
\[\begin{equation} Q_{1_v}(t) = Q_{1_{\text{old}_{v-1}}} \end{equation}\]
\[\begin{equation} Q_{NC_v}(t) = Q_{NC_{\text{old}_{v-1}}} \end{equation}\]
For the case when \(v=1\):
\[\begin{equation} Q_{1_1}(t) = 0 \end{equation}\]
\[\begin{equation} Q_{NC_1}(t) = 0 \end{equation}\]
Queue 2
Add new cases to queue
\[\begin{equation} Q_{2}(t) = Q_{2}(t) + C_{Q2}(t) \end{equation}\]
Determine number of samples that will be tested from Queue 2
Recall that \(L_2\) is the testing capacity available at the end of Queue 2.
\[\begin{equation} L_2(t) = L_1(t) \end{equation}\]
If \(Q_{2}(t) > L_2(t)\):
\[\begin{equation} \text{total_samples_for_PCR_Testing}_{\text{Q2}}(t) = L_2(t) \end{equation}\]
\[\begin{equation} Q_{2}(t) = Q_{2}(t) - L_2(t) \end{equation}\]
\[\begin{equation} L_2(t) = 0 \end{equation}\]
Else:
\[\begin{equation} \text{total_samples_for_PCR_Testing}_{\text{Q2}}(t) = Q_{2}(t) \end{equation}\]
\[\begin{equation} Q_{2}(t) = 0 \end{equation}\]
\[\begin{equation} L_2(t) = L_2(t) - Q_{2}(t) \end{equation}\]
Recall that we do not keep track of the results of the PCR testing in Queue 2, as it will not impact the count of reported cases. We are also not worried about lags here.
Queue 3
Initial states
\[\begin{equation} \text{neg_samples}_{Q3}(t) = 0 \end{equation}\]
\[\begin{equation} L_3(t) = L_2(t) \end{equation}\]
Take into account loss rate due to recovery
Here in Queue 3 (unlike in Queue 1) we do take into account the probability that an individual has already recovered before their samples can be tested. Biologically, of course, we assume that individuals are only sampled once testing capacity permits. We ignore the lag between sampling time and testing capacity in determining that threshold point.
For eaach cohort \(k\):
\[\begin{equation} \text{Q_3_loss}_k = \sim \text{Binomial}(Q_{3_k}(t), 1 - e^{-\mu_3*dt}) \end{equation}\]
\[\begin{equation} Q_{3_k}(t) = Q_{3_k}(t) - \text{Q_3_loss}_k \end{equation}\]
Add new cases to Q3
\[\begin{equation} Q_{3_1}(t) = Q_{3_1}(t) + C_{Q3}(t) \end{equation}\]
Determine number of samples that will be tested from the backlog of Queue 3
First, deal with backlog
If Backlog is greater than testing capacity:
\[\begin{equation} \text{total_samples_for_PCR_Testing_backlog}_{text{Q3}} = L_3(t) \end{equation}\]
\[\begin{equation} \text{Backlog_Queue_3}(t) = \text{Backlog_Queue_3}(t) - L_3(t) \end{equation}\]
\[\begin{equation} L_3(t) = 0 \end{equation}\]
Else (if the testing capcity is greater than the backlog):
\[\begin{equation} \text{total_samples_for_PCR_Testing_backlog}_{text{Q3}} = \text{Backlog_Queue_3}(t) \end{equation}\]
\[\begin{equation} L_3(t) = L_3(t) - \text{total_samples_for_PCR_Testing_backlog}_{text{Q5}} \end{equation}\]
\[\begin{equation} \text{Backlog_Queue_3}(t) = 0 \end{equation}\]
Simulate PCR for backlogged cases in Q3
\[\begin{equation} Y_{Q3_{\text{backlog}}}(t) = \sim Binomial(\text{total_samples_for_PCR_Testing_backlog_lag_2}_{text{Q3}}, \text{PCR_sens}) \end{equation}\]
\[\begin{equation} \text{neg_samples}_{Q3}(t) = \text{neg_samples}_{Q3}(t) + \text{total_samples_for_PCR_Testing_backlog_lag_2}_{text{Q3}} - Y_{Q3}(t) \end{equation}\]
Update PCR testing compartments for Q3 backlog
\[\begin{equation} \text{total_samples_for_PCR_Testing_backlog_lag_2}_{text{Q3}} = \text{total_samples_for_PCR_Testing_backlog_lag_1}_{text{Q3}} \end{equation}\]
\[\begin{equation} \text{total_samples_for_PCR_Testing_backlog_lag_1}_{text{Q3}} = \text{total_samples_for_PCR_Testing_backlog}_{text{Q3}} \end{equation}\]
Determine number of samples that will be tested from each sampling cohort of Queue 3
Loop through each cohort in Queue 3 \(Q_{3_k}\) starting with the oldest (\(Q_{3_K}\)) and ending with the most recent \(Q_{3_1}\).
If L_3 is smaller than cohort (i.e. $ L_3(t) < Q_{3_k}(t)$ :
\[\begin{equation} \text{total_samples_for_PCR_Testing}_{\text{Q3}_k}(t) = L_3(t) \end{equation}\]
\[\begin{equation} Q_{3_k}(t) = Q_{3_k}(t) - L_3(t) \end{equation}\]
\[\begin{equation} L_3(t) = 0 \end{equation}\]
Else
\[\begin{equation} \text{total_samples_for_PCR_Testing}_{\text{Q3}_k}(t) = Q_{3_k}(t) \end{equation}\]
\[\begin{equation} Q_{3_k}(t) = 0 \end{equation}\]
\[\begin{equation} L_3(t) = L_3(t) - \text{total_samples_for_PCR_Testing}_{\text{Q3}_k}(t) \end{equation}\]
Simulate PCR Testing on each sampling cohort in Q3
Loop over all cohorts \(k\) from \(1:K\)
\[\begin{equation} Y_{Q3_{k}}(t) = \sim Binomial(\text{total_samples_for_PCR_Testing_lag_2}_{\text{Q3}_k}(t), \text{PCR_sens}) \end{equation}\]
\[\begin{equation} \text{neg_samples}_{Q3}(t) = \text{neg_samples}_{Q3}(t) + \text{total_samples_for_PCR_Testing_lag_2}_{\text{Q3}_k}(t) - Y_{Q3_{k}}(t) \end{equation}\]
Update lags for total samples for PCR testing for Q3
\[\begin{equation} \text{total_samples_for_PCR_Testing_lag_2}_{\text{Q3}_k}(t) = \text{total_samples_for_PCR_Testing_lag_1}_{\text{Q3}_k}(t) \end{equation}\]
\[\begin{equation} \text{total_samples_for_PCR_Testing_lag_1}_{\text{Q3}_k}(t) = \text{total_samples_for_PCR_Testing}_{\text{Q3}_k}(t) \end{equation}\]
Update positive case matrix (\(P_{\text{Q3}}\))
For all daily sampling cohorts \(k\) within the last 14 days:
\[\begin{equation} P_{\text{Q3}_k}(t) = P_{\text{Q3}_k}(t) + Y_{Q3_{k}}(t) \end{equation}\]
Re-testing (Add lagged positive samples from Queue 3 into Queue 4)
The state variable \(\text{First_re_test}_{\text{Q3}}(t)\) are samples that we first re-sampled during the previous day. They now need to be re-sampled a second time.
\[\begin{equation} \text{Second_re_test}_{\text{Q3}}(t) = \text{First_re_test}_{\text{Q3}}(t) \end{equation}\]
\[\begin{equation} C_{Q4}(t) = \text{Second_re_test}_{\text{Q3}}(t) \end{equation}\]
Let \(K\) be the oldest cohort stored (\(K = 14\)). This cohort will have their first re-sampling conducted.
\[\begin{equation} \text{First_re_test}_{\text{Q3}}(t) = P_{\text{Q3}_K}(t) \end{equation}\]
\[\begin{equation} C_{Q4}(t) = C_{Q4}(t) + \text{First_re_test}_{\text{Q3}}(t) \end{equation}\]
Increment Q3 Sampling Cohorts
For \(k\) in \(2:K\):
\[\begin{equation} P_{\text{Q3}_{\text{old}_{k}}} = P_{\text{Q3}_k}(t) \end{equation}\]
\[\begin{equation} P_{\text{Q3}_k}(t) = P_{\text{Q3}_{\text{old}_{k-1}}} \end{equation}\]
For the case when \(k=1\):
\[\begin{equation} P_{\text{Q3}_1}(t) = 0 \end{equation}\]
For integer \(k\) in \(1:K\):
\[\begin{equation} Q_{3_{\text{old}_k}} = Q_{3_k}(t) \end{equation}\]
For the case where \(k = K\)
\[\begin{equation} \text{Backlog_Queue_3}(t) = \text{Backlog_Queue_3}(t) + Q_{3_{\text{old}_K}} \end{equation}\]
For integer \(k\) in \(k >1\) and \(k <= K\):
\[\begin{equation} Q_{3_k}(t) = Q_{3_{\text{old}_{k-1}}} \end{equation}\]
For the case when \(k=1\):
\[\begin{equation} Q_{3_1}(t) = 0 \end{equation}\]
Queue 4
Add new cases to queue
\[\begin{equation} Q_{4}(t) = Q_{4}(t) + C_{Q4}(t) \end{equation}\]
Determine number of samples that will be tested from Queue 4
Recall that \(L_4\) is the testing capacity available at the end of Queue 4.
\[\begin{equation} L_4(t) = L_3(t) \end{equation}\]
If \(Q_{4}(t) > L_4(t)\):
\[\begin{equation} \text{total_samples_for_PCR_Testing}_{\text{Q4}}(t) = L_4(t) \end{equation}\]
\[\begin{equation} Q_{4}(t) = Q_{4}(t) - L_4(t) \end{equation}\]
\[\begin{equation} L_4(t) = 0 \end{equation}\]
Else:
\[\begin{equation} \text{total_samples_for_PCR_Testing}_{\text{Q4}}(t) = Q_{4}(t) \end{equation}\]
\[\begin{equation} Q_{4}(t) = 0 \end{equation}\]
\[\begin{equation} L_4(t) = L_4(t) - \text{total_samples_for_PCR_Testing}_{\text{Q4}}(t) \end{equation}\]
Recall that we do not keep track of the results of the PCR testing in Queue 4, as it will not impact the count of reported cases. We are also not worried about lags here, and we assume that all samples that enter Queue 4 are eventually tested (no addition loss rates).
Total neg tests (all queues)
\[\begin{equation} \text{total_neg_samples_all_queues}(t) = \text{total_samples_for_PCR_Testing}_{\text{Q4}}(t) + \text{total_samples_for_PCR_Testing}_{\text{Q2}}(t) + \text{neg_samples_Q1}_{Q1}(t) + \text{neg_samples_Q3}_{Q3}(t) + Y_{QNC_{\text{backlog}}}(t) + \sum_{v=1}^V Y_{QNC_{v}}(t) \end{equation}\]
Build Model
POMP Csnippet
Process model
#Process model Csnippet with queue incorporated
rproc <- Csnippet("
//Declare Arrays
double rate_I_P[2], trans_I_P[2]; //Declare arrays for eulermultinom transitions from Exposed Compartment
double rate_I_S_1[2], trans_I_S_1[2]; //Declare arrays for eulermultinom transitions from symptomatic infection Compartment
double multinom_output[8], multinom_prob[8]; //Declare arrays for multinom in Q5
int M = (int) M_0; //Number of exposed compartments
int V = (int) V_0; //Number of days spent in hospital (number of cohorts in Queues 1 and NC)
int K = (int) K_0; //Number of days spent in quarantine (number of cohorts in Queue 3)
int m; //Exposed compartment number
int v; //Queue 1/ Queue NC cohort number
int k; //Queue 3 cohort number
double dE_m_E_m_1[M-1]; //Declare array for binomial transitions between Exposed Compartments
double P_Q1_old[V]; //Declare array to store old value of P_Q1 during capacity calculations.
double P_Q3_old[K]; //Declare array to store old value of P_Q3 during capacity calculations.
double QNC_old[V]; //Declare array to store old value of QNC during capacity calculations.
double Q1_old[V]; //Declare array to store old value of Q1 during capacity calculations.
double Q3_old[K]; //Declare array to store old value of Q3 during capacity calculations.
//Declare E pointer array
double *e=&E_1;
//Declare Queue 1 pointer arrays
double *q_1=&Q_1_1;
double *p_q1=&P_Q1_1;
double *total_samples_for_PCR_Testing_q1=&total_samples_for_PCR_Testing_Q1_1;
double *total_samples_for_PCR_Testing_lag_1_q1=&total_samples_for_PCR_Testing_lag_1_Q1_1;
double *total_samples_for_PCR_Testing_lag_2_q1=&total_samples_for_PCR_Testing_lag_2_Q1_1;
double *y_q1=&Y_Q1_1;
//Declare Queue NC pointer arrays
double *q_nc=&Q_NC_1;
double *total_samples_for_PCR_Testing_qnc=&total_samples_for_PCR_Testing_QNC_1;
double *total_samples_for_PCR_Testing_lag_1_qnc=&total_samples_for_PCR_Testing_lag_1_QNC_1;
double *total_samples_for_PCR_Testing_lag_2_qnc=&total_samples_for_PCR_Testing_lag_2_QNC_1;
double *y_qnc=&Y_QNC_1;
//Declare Queue 3 pointer arrays
double *q_3=&Q_3_1;
double *p_q3=&P_Q3_1;
double *total_samples_for_PCR_Testing_q3=&total_samples_for_PCR_Testing_Q3_1;
double *total_samples_for_PCR_Testing_lag_1_q3=&total_samples_for_PCR_Testing_lag_1_Q3_1;
double *total_samples_for_PCR_Testing_lag_2_q3=&total_samples_for_PCR_Testing_lag_2_Q3_1;
double *y_q3=&Y_Q3_1;
//Error checks- Top of model
if(R_A < 0 || R_F < 0 || R_H < 0 || I_A < 0 || I_P < 0 || I_H < 0 || I_S_1 < 0 || I_S_2 < 0 || S < 0 || N < 0 || Backlog_Queue_1 < 0 || Q_2 < 0 ||Backlog_Queue_3 < 0 || Q_4 < 0 |Backlog_Queue_NC < 0|| First_re_test_Q1 < 0 || Second_re_test_Q1 < 0 || First_re_test_Q3 < 0 || Second_re_test_Q3 < 0 || total_samples_for_PCR_Testing_backlog_Q1 < 0 || total_samples_for_PCR_Testing_backlog_lag_1_Q1 < 0 || total_samples_for_PCR_Testing_backlog_lag_2_Q1 < 0 || total_samples_for_PCR_Testing_backlog_Q3 < 0 || total_samples_for_PCR_Testing_backlog_lag_1_Q3 < 0 || total_samples_for_PCR_Testing_backlog_lag_2_Q3 < 0 ||total_samples_for_PCR_Testing_backlog_QNC < 0 || total_samples_for_PCR_Testing_backlog_lag_1_QNC < 0 || total_samples_for_PCR_Testing_backlog_lag_2_QNC < 0 || neg_samples_Q1 < 0 || neg_samples_Q3 < 0 || total_neg_samples_all_queues < 0 || L_advanced_2_days < 0 || G_w_y < 0 || L_int < 0 || F_w_y < 0 || L_1 < 0 || w < 0 || L_2 < 0 || L_3 < 0 || L_4 < 0 || y < 0){
Neg_State_Value_Detected = TRUE;
Rprintf(\"Negative state variable detected at top of process model t = %lg \\n\", t);
}
double sum_everything = R_A + R_F + R_H + I_P + I_A + I_H + I_S_1 + I_S_2 + S + N;
sum_everything = sum_everything + Backlog_Queue_1 + Backlog_Queue_3 + Backlog_Queue_NC + Q_2 + Q_4;
sum_everything = sum_everything + First_re_test_Q1 + First_re_test_Q3 +Second_re_test_Q1 + Second_re_test_Q3;
sum_everything = sum_everything + total_samples_for_PCR_Testing_backlog_Q1 + total_samples_for_PCR_Testing_backlog_Q3 + total_samples_for_PCR_Testing_backlog_QNC;
sum_everything = sum_everything + total_samples_for_PCR_Testing_backlog_lag_1_Q1 + total_samples_for_PCR_Testing_backlog_lag_1_Q3 + total_samples_for_PCR_Testing_backlog_lag_1_QNC;
sum_everything = sum_everything + total_samples_for_PCR_Testing_backlog_lag_2_Q1 + total_samples_for_PCR_Testing_backlog_lag_2_Q3 + total_samples_for_PCR_Testing_backlog_lag_2_QNC;
sum_everything = sum_everything + neg_samples_Q1 + neg_samples_Q3 + total_neg_samples_all_queues;
sum_everything = sum_everything + L_advanced_2_days + G_w_y + F_w_y + L_int + L_1 + L_2 + L_3 + L_4 + w + y;
if(isnan(sum_everything)){
NAN_State_Value_Detected = TRUE;
Rprintf(\"nan state variable detected at top of process model t = %lg \\n\", t);
}
//Check Exposed Compartments
for(m=0; m<M; m++) {
if(isnan(e[m])){
NAN_State_Value_Detected = TRUE;
Rprintf(\"nan state variable detected at top of process model t = %lg \\n\", t);
}
if(e[m] < 0) {
Neg_State_Value_Detected = TRUE;
Rprintf(\"Negative state variable detected at top of process model t = %lg \\n\", t);
}
}
//Check Q_1 and Q_NC arrays
for(v=0; v<V; v++) {
if(isnan(q_1[v]) || isnan(q_nc[v]) || isnan(p_q1[v]) || isnan(total_samples_for_PCR_Testing_q1[v]) || isnan(total_samples_for_PCR_Testing_qnc[v]) || isnan(total_samples_for_PCR_Testing_lag_1_q1[v]) || isnan(total_samples_for_PCR_Testing_lag_1_qnc[v]) || isnan(total_samples_for_PCR_Testing_lag_2_q1[v]) || isnan(total_samples_for_PCR_Testing_lag_2_qnc[v])){
NAN_State_Value_Detected = TRUE;
Rprintf(\"nan state variable detected at top of process model t = %lg \\n\", t);
}
if(q_1[v] < 0 || q_nc[v] < 0 || p_q1[v] < 0 || total_samples_for_PCR_Testing_q1[v] < 0 || total_samples_for_PCR_Testing_qnc[v] < 0 || total_samples_for_PCR_Testing_lag_1_q1[v] < 0 || total_samples_for_PCR_Testing_lag_1_qnc[v] < 0 || total_samples_for_PCR_Testing_lag_2_q1[v] < 0 || total_samples_for_PCR_Testing_lag_2_qnc[v] < 0 ) {
Neg_State_Value_Detected = TRUE;
Rprintf(\"Negative state variable detected at top of process model t = %lg \\n\", t);
}
}
//Check Q_3 Arrays
for(k=0; k<K; k++) {
if(isnan(q_3[k]) || isnan(p_q3[k]) || isnan(total_samples_for_PCR_Testing_q3[k]) || isnan(total_samples_for_PCR_Testing_lag_1_q3[k]) || isnan(total_samples_for_PCR_Testing_lag_2_q3[k]) || isnan(q_3[k])){
NAN_State_Value_Detected = TRUE;
Rprintf(\"nan state variable detected at top of process model t = %lg \\n\", t);
}
if(q_3[k] < 0 || p_q3[k] < 0 || total_samples_for_PCR_Testing_q3[k] < 0 || total_samples_for_PCR_Testing_lag_1_q3[k] < 0 || total_samples_for_PCR_Testing_lag_2_q3[k] < 0 ) {
Neg_State_Value_Detected = TRUE;
Rprintf(\"Negative state variable detected at top of process model t = %lg \\n\", t);
}
}
int print_out_top = (Error_Printing_Complete == FALSE) & (Neg_State_Value_Detected == TRUE || NAN_State_Value_Detected == TRUE);
if(print_out_top){
Rprintf(\"I_S_1 = %lg \\n\", I_S_1);
Rprintf(\"I_S_2 = %lg \\n\", I_S_2);
Rprintf(\"I_H = %lg \\n\", I_H);
Rprintf(\"I_P = %lg \\n\", I_P);
Rprintf(\"I_A = %lg \\n\", I_A);
Rprintf(\"Backlog_Queue_1 = %lg \\n\", Backlog_Queue_1);
Rprintf(\"Backlog_Queue_3 = %lg \\n\", Backlog_Queue_3);
Rprintf(\"Backlog_Queue_NC = %lg \\n\", Backlog_Queue_NC);
Rprintf(\"First_re_test_Q1 = %lg \\n\", First_re_test_Q1);
Rprintf(\"First_re_test_Q3 = %lg \\n\", First_re_test_Q3);
Rprintf(\"Second_re_test_Q1 = %lg \\n\", Second_re_test_Q1);
Rprintf(\"Second_re_test_Q3 = %lg \\n\", Second_re_test_Q3);
Rprintf(\"total_samples_for_PCR_Testing_backlog_Q1 = %lg \\n\", total_samples_for_PCR_Testing_backlog_Q1);
Rprintf(\"total_samples_for_PCR_Testing_backlog_lag_1_Q1 = %lg \\n\", total_samples_for_PCR_Testing_backlog_lag_1_Q1);
Rprintf(\"total_samples_for_PCR_Testing_backlog_lag_2_Q1 = %lg \\n\", total_samples_for_PCR_Testing_backlog_lag_2_Q1);
Rprintf(\"total_samples_for_PCR_Testing_backlog_Q3 = %lg \\n\", total_samples_for_PCR_Testing_backlog_Q3);
Rprintf(\"total_samples_for_PCR_Testing_backlog_lag_1_Q3 = %lg \\n\", total_samples_for_PCR_Testing_backlog_lag_1_Q3);
Rprintf(\"total_samples_for_PCR_Testing_backlog_lag_2_Q3 = %lg \\n\", total_samples_for_PCR_Testing_backlog_lag_2_Q3);
Rprintf(\"total_samples_for_PCR_Testing_backlog_QNC = %lg \\n\", total_samples_for_PCR_Testing_backlog_QNC);
Rprintf(\"total_samples_for_PCR_Testing_backlog_lag_1_QNC = %lg \\n\", total_samples_for_PCR_Testing_backlog_lag_1_QNC);
Rprintf(\"total_samples_for_PCR_Testing_backlog_lag_2_QNC = %lg \\n\", total_samples_for_PCR_Testing_backlog_lag_2_QNC);
Rprintf(\"neg_samples_Q1 = %lg \\n\", neg_samples_Q1);
Rprintf(\"neg_samples_Q3 = %lg \\n\", neg_samples_Q3);
Rprintf(\"total_neg_samples_all_queues = %lg \\n\", total_neg_samples_all_queues);
Rprintf(\"Q_2 = %lg \\n\", Q_2);
Rprintf(\"Q_4 = %lg \\n\", Q_4);
Rprintf(\"F_w_y = %lg \\n\", F_w_y);
Rprintf(\"w = %lg \\n\", w);
Rprintf(\"y = %lg \\n\", y);
Rprintf(\"E_1 = %lg \\n\", E_1);
Rprintf(\"E_2 = %lg \\n\", E_2);
Rprintf(\"E_3 = %lg \\n\", E_3);
Rprintf(\"E_4 = %lg \\n\", E_4);
Rprintf(\"E_5 = %lg \\n\", E_5);
Rprintf(\"R_H = %lg \\n\", R_H);
Rprintf(\"R_A = %lg \\n\", R_A);
Rprintf(\"R_F = %lg \\n\", R_F);
Rprintf(\"N = %lg \\n\", N);
Rprintf(\"S = %lg \\n\", S);
Rprintf(\"L_advanced_2_days = %lg \\n\", L_advanced_2_days);
Rprintf(\"G_w_y = %lg \\n\", G_w_y);
Rprintf(\"L_int = %lg \\n\", L_int);
Rprintf(\"L_1 = %lg \\n\", L_1);
Rprintf(\"L_2 = %lg \\n\", L_2);
Rprintf(\"L_3 = %lg \\n\", L_3);
Rprintf(\"L_4 = %lg \\n\", L_4);
Rprintf(\"Print out params p_S = %lg \\n\", p_S);
Rprintf(\"p_H_cond_S = %lg \\n\", p_H_cond_S);
Rprintf(\"phi_E = %lg \\n\", phi_E);
Rprintf(\"phi_U = %lg \\n\", phi_U);
Rprintf(\"phi_S = %lg \\n\", phi_S);
Rprintf(\"h_V = %lg \\n\", h_V);
Rprintf(\"gamma = %lg \\n\", gamma);
Rprintf(\"R_0 = %lg \\n\", R_0);
Rprintf(\"b_q = %lg \\n\", b_q);
Rprintf(\"b_a = %lg \\n\", b_a);
Rprintf(\"b_p = %lg \\n\", b_p);
Rprintf(\"z_0 = %lg \\n\", z_0);
Rprintf(\"E_0 = %lg \\n\", E_0);
Rprintf(\"N_0 = %lg \\n\", N_0);
Rprintf(\"C_0 = %lg \\n\", C_0);
Rprintf(\"G_w_y_scaling = %lg \\n\", G_w_y_scaling);
Rprintf(\"quarantine_start_time = %lg \\n\", quarantine_start_time);
Rprintf(\"PCR_sens = %lg \\n\", PCR_sens);
Rprintf(\"sigma_M = %lg \\n\", sigma_M);
Rprintf(\"beta_w_3 = %lg \\n\", beta_w_3);
Rprintf(\"beta_w_2 = %lg \\n\", beta_w_2);
Rprintf(\"beta_w_1 = %lg \\n\", beta_w_1);
Rprintf(\"beta_w_0 = %lg \\n\", beta_w_0);
Rprintf(\"g_0 = %lg \\n\", g_0);
Rprintf(\"g_F = %lg \\n\", g_F);
Rprintf(\"sigma_epsilon = %lg \\n\", sigma_epsilon);
//Print out exposed compartments
for(m=0; m<M; m++) {
Rprintf(\"m = %d \\n\", m);
Rprintf(\"e[m] = %lg \\n\", e[m]);
}
//Print out Q_1 and Q_NC compartments
for(v=0; v<V; v++) {
Rprintf(\"v = %d \\n\", v);
Rprintf(\"q_1[v] = %lg \\n\", q_1[v]);
Rprintf(\"q_nc[v] = %lg \\n\", q_nc[v]);
Rprintf(\"p_q1[v] = %lg \\n\", p_q1[v]);
Rprintf(\"total_samples_for_PCR_Testing_q1[v] = %lg \\n\", total_samples_for_PCR_Testing_q1[v]);
Rprintf(\"total_samples_for_PCR_Testing_qnc[v] = %lg \\n\", total_samples_for_PCR_Testing_qnc[v]);
Rprintf(\"total_samples_for_PCR_Testing_lag_1_q1[v] = %lg \\n\", total_samples_for_PCR_Testing_lag_1_q1[v]);
Rprintf(\"total_samples_for_PCR_Testing_lag_1_qnc[v] = %lg \\n\", total_samples_for_PCR_Testing_lag_1_qnc[v]);
Rprintf(\"total_samples_for_PCR_Testing_lag_2_q1[v] = %lg \\n\", total_samples_for_PCR_Testing_lag_2_q1[v]);
Rprintf(\"total_samples_for_PCR_Testing_lag_2_qnc[v] = %lg \\n\", total_samples_for_PCR_Testing_lag_2_qnc[v]);
}
//Print out Q_3 compartments
for(k=0; k<K; k++) {
Rprintf(\"k = %d \\n\", k);
Rprintf(\"q_3[k] = %lg \\n\", q_3[k]);
Rprintf(\"p_q3[k] = %lg \\n\", p_q3[k]);
Rprintf(\"total_samples_for_PCR_Testing_q3[k] = %lg \\n\", total_samples_for_PCR_Testing_q3[k]);
Rprintf(\"total_samples_for_PCR_Testing_lag_1_q3[k] = %lg \\n\", total_samples_for_PCR_Testing_lag_1_q3[k]);
Rprintf(\"total_samples_for_PCR_Testing_lag_2_q3[k] = %lg \\n\", total_samples_for_PCR_Testing_lag_2_q3[k]);
}
Error_Printing_Complete = TRUE;
}
//Main Process Model Code Block
//Initialize transition array (make it NAN so it will trigger warnings if
//used when unchanged)
for(m=0; m<M-1; m++) {
dE_m_E_m_1[m] = NAN;
}
double total_time_infected = (1/gamma) + (1/phi_S);
double gamma_total = 1/total_time_infected;
double Beta_0 = R_0*(gamma_total);
double Beta_1 = b_q*Beta_0;
beta_t = Beta_0;
if(t > quarantine_start_time){
beta_t = Beta_1;
}else{
if(t > social_distancing_start_time){
double m_q = (Beta_1 - Beta_0)/(quarantine_start_time - social_distancing_start_time);
beta_t = Beta_0 + m_q*(t-social_distancing_start_time);
}
}
//Calculate transmssion rates in pre-symptomatic classes
double beta_p = b_p*beta_t;
//Calculate transmssion rates in asymptomatic classes
double beta_a = b_a*beta_t;
//Rates for Euler Multinom leaving Infected Pre-symptomatic class
double mu_I_P_I_A = (1-p_S)*phi_U; //Moving from I_P to I_A
double mu_I_P_I_S_1 = p_S*phi_U; //Moving from I_P to I_S_1
rate_I_P[0] = mu_I_P_I_A;
rate_I_P[1] = mu_I_P_I_S_1;
//Rates for Euler Multinom leaving Infected Symptomatic class
double mu_I_S_1_I_H = p_H_cond_S*phi_S; //Moving from I_S_1 to I_H
double mu_I_S_1_I_S_2 = (1-p_H_cond_S)*phi_S; //Moving from I_S_1 to I_S_2
rate_I_S_1[0] = mu_I_S_1_I_H;
rate_I_S_1[1] = mu_I_S_1_I_S_2;
//Calculate force of infection
double lambda_FOI = (beta_t*(I_S_1 + I_S_2) + beta_a*(I_A) + beta_p*(I_P))/N;
double mu_S_E_1 = lambda_FOI;
//Calculate rate of moving bewteen exposed compartments
double mu_E_m_E_m_1 = phi_E;
//Calculate rate of moving from Infected Asymptomatic class to
// Recovered Asymptomatic class
double mu_I_A_R_A = phi_S;
//Calculate rate of moving from last Exposed compartment to
//Infected Pre-sympatomatic class
double mu_E_M_I_P = phi_E;
//Calculate rate of moving from Infected Flu-like class to Recovered Flu-Like Class
double mu_I_S_2_R_F = gamma;
//Calculate rate of moving from Infected Hospitalized class to Recovered Hospitalized Class
double mu_I_H_R_H = h_V;
//Binomial transitions (out of S, I_S_2, E_M, I_A, and I_H, and within E)
double dSE_1 = rbinom(S, 1 - exp(-mu_S_E_1*dt));
double dI_A_R_A = rbinom(I_A, 1 - exp(-mu_I_A_R_A*dt));
double dE_M_I_P = rbinom(e[M-1], 1 - exp(-mu_E_M_I_P*dt));
double dI_S_2_R_F = rbinom(I_S_2, 1 - exp(-mu_I_S_2_R_F*dt));
double dI_H_R_H = rbinom(I_H, 1 - exp(-mu_I_H_R_H*dt));
//Exposed class binomial transitions (start from second compartment)
for(m = 0; m < M-1; m++){
dE_m_E_m_1[m] = rbinom(e[m], 1 - exp(-mu_E_m_E_m_1*dt));
}
//Euler multinomial transitions
//Infected Pre-symptomatic compartment
reulermultinom(2,I_P, &rate_I_P[0], dt, &trans_I_P[0]);
//Infected Symptomatic comparment
reulermultinom(2,I_S_1, &rate_I_S_1[0], dt, &trans_I_S_1[0]);
//Get compartment transitions from Euler multinom output
//Infected Pre-symptomatic Compartment
double dI_P_I_A = trans_I_P[0];
double dI_P_I_S_1 = trans_I_P[1];
//Infected Symptomatic Compartment
double dI_S_1_I_H = trans_I_S_1[0];
double dI_S_1_I_S_2 = trans_I_S_1[1];
//Update state variables using transition increments
//Susceptible Compartment
S += -dSE_1;
//Exposed Compartments
//First compartment
e[0] += dSE_1 - dE_m_E_m_1[0];
//Inner compartments (start from second compartment,
// end with second to last comparment)
for(m = 1; m < M-1; m++){
e[m] += dE_m_E_m_1[m-1] - dE_m_E_m_1[m];
}
//Outermost exposed compartment
e[M-1] += dE_m_E_m_1[M-2] - dE_M_I_P;
//Infected Compartments
//Pre-Symptomatic Infected Compartment
I_P += dE_M_I_P- dI_P_I_A - dI_P_I_S_1;
I_S_1 += dI_P_I_S_1 - dI_S_1_I_H - dI_S_1_I_S_2;
//Hospitalized Compartment
I_H += dI_S_1_I_H - dI_H_R_H;
//Flu-Like Infections Compartment
I_S_2 += dI_S_1_I_S_2 - dI_S_2_R_F;
//Recovered Compartments
I_A += dI_P_I_A - dI_A_R_A;
R_A += dI_A_R_A;
R_F += dI_S_2_R_F;
R_H += dI_H_R_H;
//Total Population (does not change)
N += 0;
//Reported Cases
C_Q1 += dI_S_1_I_H; //Entering Queue 1
C_Q3 += dI_S_1_I_S_2; //Entering Queue 2
//Read in testing info
L_int = nearbyint(L_advanced_2_days);
double epsilon = rnorm(0,sigma_epsilon);
//Calculate estimated non-COVID respiratory infections
G_w_y = g_0 + g_F*F_w_y + beta_w_3*(w*w*w) + beta_w_2*(w*w) + beta_w_1*w + beta_w_0 + epsilon;
if(t > quarantine_start_time){
G_w_y = G_w_y_scaling*G_w_y;
}else{
G_w_y = G_w_y_scaling*G_w_y;
}
C_QNC = nearbyint(G_w_y);
//Queue 1
//Initial states
neg_samples_Q1 = 0;
//Add new cases to Q1
q_1[0] = q_1[0] + C_Q1;
//Add new cases to QNC
q_nc[0] = q_nc[0] + C_QNC;
//Determine number of samples that will tested from the backlog
// of Queue 1
double total_samples_for_PCR_Testing_backlog_always_test = Backlog_Queue_1 + Backlog_Queue_NC;
//If backlog is greater than testing capacity
if(total_samples_for_PCR_Testing_backlog_always_test > L_int){
total_samples_for_PCR_Testing_backlog_Q1 = rhyper(Backlog_Queue_1, Backlog_Queue_NC, L_int);
total_samples_for_PCR_Testing_backlog_QNC = L_int - total_samples_for_PCR_Testing_backlog_Q1;
Backlog_Queue_1 = Backlog_Queue_1 - total_samples_for_PCR_Testing_backlog_Q1;
Backlog_Queue_NC = Backlog_Queue_NC - total_samples_for_PCR_Testing_backlog_QNC;
L_1 = 0;
//Else (if the testing capacity is greater than the backlog)
}else{
total_samples_for_PCR_Testing_backlog_Q1 = Backlog_Queue_1;
total_samples_for_PCR_Testing_backlog_QNC = Backlog_Queue_NC;
L_1 = L_int - total_samples_for_PCR_Testing_backlog_Q1 - total_samples_for_PCR_Testing_backlog_QNC;
Backlog_Queue_1 = 0;
Backlog_Queue_NC = 0;
}
//Simulate PCR for backlogged cases in Q1
Y_Q1_backlog = rbinom(total_samples_for_PCR_Testing_backlog_lag_2_Q1, PCR_sens);
Y_QNC_backlog = total_samples_for_PCR_Testing_backlog_lag_2_QNC;
neg_samples_Q1 = neg_samples_Q1 + total_samples_for_PCR_Testing_backlog_lag_2_Q1 - Y_Q1_backlog;
//Update PCR testing compartments for Q1 backlog
total_samples_for_PCR_Testing_backlog_lag_2_Q1 = total_samples_for_PCR_Testing_backlog_lag_1_Q1;
total_samples_for_PCR_Testing_backlog_lag_2_QNC = total_samples_for_PCR_Testing_backlog_lag_1_QNC;
total_samples_for_PCR_Testing_backlog_lag_1_Q1 = total_samples_for_PCR_Testing_backlog_Q1;
total_samples_for_PCR_Testing_backlog_lag_1_QNC = total_samples_for_PCR_Testing_backlog_QNC;
//Determine number of samples that will be tested from each sampling cohort of Queue 1
//Loop through each cohort in Queue 1 q_1[v] (and Queue NC q_nc[v])
// starting with the oldest (q_1[V-1]/q_nc[V-1])
// and ending with the most recent q_1[0]/q_nc[1].
for(v=V-1; v>=0; v--) {
//If L_1 is smaller than cohort
if(L_1 < (q_1[v] + q_nc[v])){
total_samples_for_PCR_Testing_q1[v] = rhyper(q_1[v], q_nc[v], L_1);
total_samples_for_PCR_Testing_qnc[v] = L_1 - total_samples_for_PCR_Testing_q1[v];
q_1[v] = q_1[v] - total_samples_for_PCR_Testing_q1[v];
q_nc[v] = q_nc[v] - total_samples_for_PCR_Testing_qnc[v];
L_1 = 0;
//Else there is enough capacity to test cohort v
// in Q1/QNC
}else{
total_samples_for_PCR_Testing_q1[v] = q_1[v];
total_samples_for_PCR_Testing_qnc[v] = q_nc[v];
q_1[v] = 0;
q_nc[v] = 0;
L_1 = L_1 - total_samples_for_PCR_Testing_q1[v] - total_samples_for_PCR_Testing_qnc[v];
}
}
//Simulate PCR Testing on each sampling cohort in Q1
//Loop over all cohorts v from 1:V
for(v=0; v<V; v++) {
y_q1[v] = rbinom(total_samples_for_PCR_Testing_lag_2_q1[v], PCR_sens);
y_qnc[v] = total_samples_for_PCR_Testing_lag_2_qnc[v];
neg_samples_Q1 = neg_samples_Q1 + total_samples_for_PCR_Testing_lag_2_q1[v] - y_q1[v];
}
//Update lags for total samples for PCR testing for Q1
//Loop over all cohorts v from 1:V
for(v=0; v<V; v++) {
total_samples_for_PCR_Testing_lag_2_q1[v] = total_samples_for_PCR_Testing_lag_1_q1[v];
total_samples_for_PCR_Testing_lag_2_qnc[v] = total_samples_for_PCR_Testing_lag_1_qnc[v];
total_samples_for_PCR_Testing_lag_1_q1[v] = total_samples_for_PCR_Testing_q1[v];
total_samples_for_PCR_Testing_lag_1_qnc[v] = total_samples_for_PCR_Testing_qnc[v];
}
//Update positive case matrix (p_Q1)
//For all daily sampling cohorts v within the last 14 days:
for(v=0; v<V; v++) {
p_q1[v] = p_q1[v] + y_q1[v];
}
//Re-testing (Add lagged positive samples from Queue 1 into Queue 2)
//The state variable First_re_test_Q1 are samples that were
// first re-sampled during the previous day.
// They now need to be re-sampled a second time.
Second_re_test_Q1 = First_re_test_Q1;
C_Q2 = Second_re_test_Q1;
//Let V-1 be the oldest cohort stored (V=13).
// This cohort will have their first re-sampling conducted.
First_re_test_Q1 = p_q1[V-1];
C_Q2 = C_Q2 + First_re_test_Q1;
//Increment P_Q1 Sampling Cohorts
P_Q1_old[0] = p_q1[0]; //Store first cohort
//For v in 2:V: (or in C notation v in 1:V-1):
for(v=1; v<V; v++) {
P_Q1_old[v] = p_q1[v];
p_q1[v] = P_Q1_old[v-1];
}
//For the newest cohort where v = 1 (or 0 in C notation):
p_q1[0] = 0; //(Making space for next cohort arrival)
//Note that the oldest cohort (p_q1_old[V-1]) is never used
//since p_q1[V-1] has already been transferred to First_re_test_Q1
//Create placeholder arrays to store
// current queues
for(v=0; v<V; v++) {
Q1_old[v] = q_1[v];
QNC_old[v] = q_nc[v];
}
//Add oldest cohort to backlog
// v=V (or V-1 in C notation)
Backlog_Queue_1 = Backlog_Queue_1 + Q1_old[V-1];
Backlog_Queue_NC = Backlog_Queue_NC + QNC_old[V-1];
//Update Q1 Sampling cohorts by 1
//For integer v in v>1 and v<=V
// (or in C notation v = 1 to v <V):
for(v=1; v<V; v++) {
q_1[v] = Q1_old[v-1];
q_nc[v] = QNC_old[v-1];
}
//Make space for newest cohort when v=1
// (in C notation v = 0) :
q_1[0] = 0;
q_nc[0] = 0;
//Queue 2
//Add new cases to queue
Q_2 = Q_2+C_Q2;
//Determine number of samples that will be tested from Queue 2
//Recall that L2 is the testing capacity available at the end of Queue 2.
L_2 = L_1;
//If there is not enough testing capacity to test all of Queue 2
if (Q_2 > L_2){
total_samples_for_PCR_Testing_Q2 = L_2;
Q_2 = Q_2 - L_2;
L_2 = 0;
//Else if there is enough capcity to test all of Queue 2
}else{
total_samples_for_PCR_Testing_Q2 = Q_2;
Q_2 = 0;
L_2 = L_2 - total_samples_for_PCR_Testing_Q2;
}
//Recall that we do not keep track of the results of the PCR testing in Queue 2,
//as it will not impact the count of reported cases.
//We are also not worried about lags here.
//Queue 3
//Initial states
neg_samples_Q3 = 0;
L_3 = L_2;
//Take into account loss rate due to recovery
//NOT IMPLEMENTED YET
double mu_2 = gamma;
double single_cohort_loss = 0;
for(k=0; k<K; k++) {
single_cohort_loss = rbinom(q_3[k], 1 - exp(-mu_2*dt));
q_3[k] = q_3[k] - single_cohort_loss;
}
double backlog_loss = rbinom(Backlog_Queue_3, 1 - exp(-mu_2*dt));
Backlog_Queue_3 = Backlog_Queue_3 - backlog_loss;
//Simulate loss in Q3 backlog
//Add new cases to Q3
q_3[0] = q_3[0] + C_Q3;
//Determine number of samples that will be tested from the backlog of Queue 3
//If Backlog is greater than testing capacity:
if(Backlog_Queue_3 > L_3){
total_samples_for_PCR_Testing_backlog_Q3 = L_3;
Backlog_Queue_3 = Backlog_Queue_3 - L_3;
L_3 = 0;
//There is enough capcity to test the whole Q_3 backlog
}else{
total_samples_for_PCR_Testing_backlog_Q3 = Backlog_Queue_3;
L_3 = L_3 - total_samples_for_PCR_Testing_backlog_Q3;
Backlog_Queue_3 = 0;
}
//Simulate PCR for backlogged cases in Q3
Y_Q3_backlog = rbinom(total_samples_for_PCR_Testing_backlog_lag_2_Q3, PCR_sens);
neg_samples_Q3 = neg_samples_Q3 + total_samples_for_PCR_Testing_backlog_lag_2_Q3 - Y_Q3_backlog;
//Update PCR testing compartments for Q3 backlog
total_samples_for_PCR_Testing_backlog_lag_2_Q3 = total_samples_for_PCR_Testing_backlog_lag_1_Q3;
total_samples_for_PCR_Testing_backlog_lag_1_Q3 = total_samples_for_PCR_Testing_backlog_Q3;
//Determine number of samples that will be tested from each sampling cohort of Queue 3
//Loop through each cohort in Queue 3 (Q3_k) starting with the oldest (Q3_K)
// and ending with the most recent (Q3_1).
for(k=K-1; k>=0; k--) {
//If L_3 is smaller than cohort (i.e. L_3 < Q_{3_k} :
if(q_3[k] > L_3){
total_samples_for_PCR_Testing_q3[k] = L_3;
q_3[k] = q_3[k] - L_3;
L_3 = 0;
//There is enough capacity to test cohort $k$
}else{
total_samples_for_PCR_Testing_q3[k] = q_3[k];
q_3[k] = 0;
L_3 = L_3 - total_samples_for_PCR_Testing_q3[k];
}
}
//Simulate PCR Testing on each sampling cohort in Q3
//Loop over all cohorts k from 1:K
for(k=0; k<K; k++) {
y_q3[k] = rbinom(total_samples_for_PCR_Testing_lag_2_q3[k], PCR_sens);
neg_samples_Q3 = neg_samples_Q3 + total_samples_for_PCR_Testing_lag_2_q3[k] - y_q3[k];
}
//Update lags for total samples for PCR testing for Q3
for(k=0; k<K; k++) {
total_samples_for_PCR_Testing_lag_2_q3[k] = total_samples_for_PCR_Testing_lag_1_q3[k];
total_samples_for_PCR_Testing_lag_1_q3[k] = total_samples_for_PCR_Testing_q3[k];
}
//Update positive case matrix (P_Q3)
//For all daily sampling cohorts k within the last 14 days:
for(k=0; k<K; k++) {
p_q3[k] = p_q3[k] + y_q3[k];
}
//Re-testing (Add lagged positive samples from Queue 3 into Queue 4)
//The state variable First_re_test_Q3 are samples that we first re-sampled
// during the previous day. They now need to be re-sampled a second time.
Second_re_test_Q3 = First_re_test_Q3;
C_Q4 = Second_re_test_Q3;
//Let K be the oldest cohort stored (K=14).
//This cohort will have their first re-sampling conducted.
// We use K-1 for C notation.
First_re_test_Q3 = p_q3[K-1];
C_Q4 = C_Q4 + First_re_test_Q3;
//Increment P_Q3 Sampling Cohorts
P_Q3_old[0] = p_q3[0]; //Store first cohort
//For k in 2:K: (or in C notation k in 1:K-1):
for(k=1; k<K; k++) {
P_Q3_old[k] = p_q3[k];
p_q3[k] = P_Q3_old[k-1];
}
//For the newest cohort where k = 1 (or k=0 in C notation):
p_q3[0] = 0; //(Making space for next cohort arrival)
//Note that the oldest cohort (p_q3_old[K-1]) is never used
//since p_q3[K-1] has already been transferred to First_re_test_Q3
//Create placeholder array to store
// current Q3
for(k=0; k<K; k++) {
Q3_old[k] = q_3[k];
}
//Add oldest cohort to backlog
// k=K (or K-1 in C notation)
Backlog_Queue_3 = Backlog_Queue_3 + Q3_old[K-1];
//Update Q3 Sampling cohorts by 1
//For integer k in k>1 and k<=K
// (or in C notation k = 1 to k < K):
for(k=1; k<K; k++) {
q_3[k] = Q3_old[k-1];
}
//Make space for newest cohort when k=1
// (in C notation k = 0) :
q_3[0] = 0;
//Queue 4
//Add new cases to queue
Q_4 = Q_4 + C_Q4;
//Determine number of samples that will be tested from Queue 4
//Recall that L_4 is the testing capacity available at the end of Queue 4.
L_4 = L_3;
//If there is insufficent capacity (Queue 4 is bigger than L_4)
if(Q_4>L_4){
total_samples_for_PCR_Testing_Q4 = L_4;
Q_4 = Q_4 - L_4;
L_4 = 0;
//There is enough capacity(Q_4 < L_4)
}else{
total_samples_for_PCR_Testing_Q4 = Q_4;
Q_4 = 0;
L_4 = L_4 - total_samples_for_PCR_Testing_Q4;
}
//Recall that we do not keep track of the results of the PCR testing in Queue 4,
//as it will not impact the count of reported cases.
//We are also not worried about lags here,
//and we assume that all samples that enter Queue 4
//are eventually tested (no additional loss rates).
//Queue 5:Asymptomatic Testing
total_sample_size = S + E_1 + E_2 + E_3 + E_4 + E_5 + I_P + I_S_1 + R_A + R_F + R_H;
multinom_prob[0] = PCR_sens*E_1/total_sample_size;
multinom_prob[1] = PCR_sens*E_2/total_sample_size;
multinom_prob[2] = PCR_sens*E_3/total_sample_size;
multinom_prob[3] = PCR_sens*E_4/total_sample_size;
multinom_prob[4] = PCR_sens*E_5/total_sample_size;
multinom_prob[5] = PCR_sens*I_P/total_sample_size;
multinom_prob[6] = PCR_sens*I_S_1/total_sample_size;
double total_Q5_prob = multinom_prob[0] + multinom_prob[1] + multinom_prob[2];
total_Q5_prob = total_Q5_prob + multinom_prob[3] + multinom_prob[4] + multinom_prob[5];
total_Q5_prob = total_Q5_prob + multinom_prob[6] ;
multinom_prob[7] = 1 - total_Q5_prob;
//rmultinom(1,L_4, &multinom_prob, &multinom_output);
rmultinom(L_4, &multinom_prob[0], 8, &multinom_output[0]);
double E_1_infected = 0;
double E_2_infected = 0;
double E_3_infected = 0;
double E_4_infected = 0;
double E_5_infected = 0;
double I_P_infected = 0;
double I_S_1_infected = 0;
neg_samples_Q5 = 0;
//Update population comparmtents
E_1 = E_1 - E_1_infected;
E_2 = E_2 - E_2_infected;
E_3 = E_3 - E_3_infected;
E_4 = E_4 - E_4_infected;
E_5 = E_5 - E_5_infected;
I_P = I_P - I_P_infected;
I_S_1 = I_S_1 - I_S_1_infected;
Y_Q5 = E_1_infected + E_2_infected + E_3_infected + E_4_infected + E_5_infected +I_P_infected + I_S_1_infected;
A_T = A_T + Y_Q5;
//Calculate total cases to report
total_neg_samples_all_queues = 0;
for(v=0; v<V; v++) {
Y_sum = Y_sum + y_q1[v];
total_neg_samples_all_queues = total_neg_samples_all_queues + y_qnc[v];
}
for(k=0; k<K; k++) {
Y_sum = Y_sum + y_q3[k];
}
Y_sum = Y_sum + Y_Q1_backlog + Y_Q3_backlog;
total_neg_samples_all_queues = total_neg_samples_all_queues +neg_samples_Q1;
total_neg_samples_all_queues = total_neg_samples_all_queues +neg_samples_Q3;
//double positive_plus_negative_tests = Y_sum + total_neg_samples_all_queues;
//Prop_Positive_Tests_Track = Y_sum/positive_plus_negative_tests;
//Toy Reporting (Queues not yet implemented)
//Y_Q1 = C_Q1;
//Y_Q3 = C_Q3;
//Y_sum = C_Q1 + C_Q3;
if(L_orig >0){
Prop_Positive_Tests_Track = Y_sum/L_orig;
}else{
Prop_Positive_Tests_Track = 0; //Assign 0 if no testing yet
}
//Error checks- Bottom of model
if(R_A < 0 || R_F < 0 || R_H < 0 || I_A < 0 || I_P < 0 || I_H < 0 || I_S_1 < 0 || I_S_2 < 0 || S < 0 || N < 0 || Backlog_Queue_1 < 0 || Q_2 < 0 ||Backlog_Queue_3 < 0 || Q_4 < 0 |Backlog_Queue_NC < 0|| First_re_test_Q1 < 0 || Second_re_test_Q1 < 0 || First_re_test_Q3 < 0 || Second_re_test_Q3 < 0 || total_samples_for_PCR_Testing_backlog_Q1 < 0 || total_samples_for_PCR_Testing_backlog_lag_1_Q1 < 0 || total_samples_for_PCR_Testing_backlog_lag_2_Q1 < 0 || total_samples_for_PCR_Testing_backlog_Q3 < 0 || total_samples_for_PCR_Testing_backlog_lag_1_Q3 < 0 || total_samples_for_PCR_Testing_backlog_lag_2_Q3 < 0 ||total_samples_for_PCR_Testing_backlog_QNC < 0 || total_samples_for_PCR_Testing_backlog_lag_1_QNC < 0 || total_samples_for_PCR_Testing_backlog_lag_2_QNC < 0 || neg_samples_Q1 < 0 || neg_samples_Q3 < 0 || total_neg_samples_all_queues < 0 || L_advanced_2_days < 0 || G_w_y < 0 || L_int < 0 || F_w_y < 0 || L_1 < 0 || w < 0 || L_2 < 0 || L_3 < 0 || L_4 < 0 || y < 0){
Neg_State_Value_Detected = TRUE;
Rprintf(\"Negative state variable detected at bottom of process model t = %lg \\n\", t);
}
sum_everything = R_A + R_F + R_H + I_A + I_P + I_H + I_S_1 + I_S_2 + S + N;
sum_everything = sum_everything + Backlog_Queue_1 + Backlog_Queue_3 + Backlog_Queue_NC + Q_2 + Q_4;
sum_everything = sum_everything + First_re_test_Q1 + First_re_test_Q3 +Second_re_test_Q1 + Second_re_test_Q3;
sum_everything = sum_everything + total_samples_for_PCR_Testing_backlog_Q1 + total_samples_for_PCR_Testing_backlog_Q3 + total_samples_for_PCR_Testing_backlog_QNC;
sum_everything = sum_everything + total_samples_for_PCR_Testing_backlog_lag_1_Q1 + total_samples_for_PCR_Testing_backlog_lag_1_Q3 + total_samples_for_PCR_Testing_backlog_lag_1_QNC;
sum_everything = sum_everything + total_samples_for_PCR_Testing_backlog_lag_2_Q1 + total_samples_for_PCR_Testing_backlog_lag_2_Q3 + total_samples_for_PCR_Testing_backlog_lag_2_QNC;
sum_everything = sum_everything + neg_samples_Q1 + neg_samples_Q3 + total_neg_samples_all_queues;
sum_everything = sum_everything + L_advanced_2_days + G_w_y + F_w_y + L_int + L_1 + L_2 + L_3 + L_4 + w + y;
if(isnan(sum_everything)){
NAN_State_Value_Detected = TRUE;
Rprintf(\"nan state variable detected at bottom of process model t = %lg \\n\", t);
}
//Check Exposed Compartments
for(m=0; m<M; m++) {
if(isnan(e[m])){
NAN_State_Value_Detected = TRUE;
Rprintf(\"nan state variable detected at bottom of process model t = %lg \\n\", t);
}
if(e[m] < 0) {
Neg_State_Value_Detected = TRUE;
Rprintf(\"Negative state variable detected at bottom of process model t = %lg \\n\", t);
}
}
//Check Q_1 and Q_NC arrays
for(v=0; v<V; v++) {
if(isnan(q_1[v]) || isnan(q_nc[v]) || isnan(p_q1[v]) || isnan(total_samples_for_PCR_Testing_q1[v]) || isnan(total_samples_for_PCR_Testing_qnc[v]) || isnan(total_samples_for_PCR_Testing_lag_1_q1[v]) || isnan(total_samples_for_PCR_Testing_lag_1_qnc[v]) || isnan(total_samples_for_PCR_Testing_lag_2_q1[v]) || isnan(total_samples_for_PCR_Testing_lag_2_qnc[v])){
NAN_State_Value_Detected = TRUE;
Rprintf(\"nan state variable detected at bottom of process model t = %lg \\n\", t);
}
if(q_1[v] < 0 || q_nc[v] < 0 || p_q1[v] < 0 || total_samples_for_PCR_Testing_q1[v] < 0 || total_samples_for_PCR_Testing_qnc[v] < 0 || total_samples_for_PCR_Testing_lag_1_q1[v] < 0 || total_samples_for_PCR_Testing_lag_1_qnc[v] < 0 || total_samples_for_PCR_Testing_lag_2_q1[v] < 0 || total_samples_for_PCR_Testing_lag_2_qnc[v] < 0 ) {
Neg_State_Value_Detected = TRUE;
Rprintf(\"Negative state variable detected at bottom of process model t = %lg \\n\", t);
}
}
//Check Q_3 Arrays
for(k=0; k<K; k++) {
if(isnan(q_3[k]) || isnan(p_q3[k]) || isnan(total_samples_for_PCR_Testing_q3[k]) || isnan(total_samples_for_PCR_Testing_lag_1_q3[k]) || isnan(total_samples_for_PCR_Testing_lag_2_q3[k]) || isnan(q_3[k])){
NAN_State_Value_Detected = TRUE;
Rprintf(\"nan state variable detected at bottom of process model t = %lg \\n\", t);
}
if(q_3[k] < 0 || p_q3[k] < 0 || total_samples_for_PCR_Testing_q3[k] < 0 || total_samples_for_PCR_Testing_lag_1_q3[k] < 0 || total_samples_for_PCR_Testing_lag_2_q3[k] < 0 ) {
Neg_State_Value_Detected = TRUE;
Rprintf(\"Negative state variable detected at bottom of process model t = %lg \\n\", t);
}
}
int print_out_bottom = (Error_Printing_Complete == FALSE) & (Neg_State_Value_Detected == TRUE || NAN_State_Value_Detected == TRUE);
if(print_out_bottom){
Rprintf(\"I_S_1 = %lg \\n\", I_S_1);
Rprintf(\"I_S_2 = %lg \\n\", I_S_2);
Rprintf(\"I_H = %lg \\n\", I_H);
Rprintf(\"I_A = %lg \\n\", I_A);
Rprintf(\"I_P = %lg \\n\", I_P);
Rprintf(\"Backlog_Queue_1 = %lg \\n\", Backlog_Queue_1);
Rprintf(\"Backlog_Queue_3 = %lg \\n\", Backlog_Queue_3);
Rprintf(\"Backlog_Queue_NC = %lg \\n\", Backlog_Queue_NC);
Rprintf(\"First_re_test_Q1 = %lg \\n\", First_re_test_Q1);
Rprintf(\"First_re_test_Q3 = %lg \\n\", First_re_test_Q3);
Rprintf(\"Second_re_test_Q1 = %lg \\n\", Second_re_test_Q1);
Rprintf(\"Second_re_test_Q3 = %lg \\n\", Second_re_test_Q3);
Rprintf(\"total_samples_for_PCR_Testing_backlog_Q1 = %lg \\n\", total_samples_for_PCR_Testing_backlog_Q1);
Rprintf(\"total_samples_for_PCR_Testing_backlog_lag_1_Q1 = %lg \\n\", total_samples_for_PCR_Testing_backlog_lag_1_Q1);
Rprintf(\"total_samples_for_PCR_Testing_backlog_lag_2_Q1 = %lg \\n\", total_samples_for_PCR_Testing_backlog_lag_2_Q1);
Rprintf(\"total_samples_for_PCR_Testing_backlog_Q3 = %lg \\n\", total_samples_for_PCR_Testing_backlog_Q3);
Rprintf(\"total_samples_for_PCR_Testing_backlog_lag_1_Q3 = %lg \\n\", total_samples_for_PCR_Testing_backlog_lag_1_Q3);
Rprintf(\"total_samples_for_PCR_Testing_backlog_lag_2_Q3 = %lg \\n\", total_samples_for_PCR_Testing_backlog_lag_2_Q3);
Rprintf(\"total_samples_for_PCR_Testing_backlog_QNC = %lg \\n\", total_samples_for_PCR_Testing_backlog_QNC);
Rprintf(\"total_samples_for_PCR_Testing_backlog_lag_1_QNC = %lg \\n\", total_samples_for_PCR_Testing_backlog_lag_1_QNC);
Rprintf(\"total_samples_for_PCR_Testing_backlog_lag_2_QNC = %lg \\n\", total_samples_for_PCR_Testing_backlog_lag_2_QNC);
Rprintf(\"neg_samples_Q1 = %lg \\n\", neg_samples_Q1);
Rprintf(\"neg_samples_Q3 = %lg \\n\", neg_samples_Q3);
Rprintf(\"total_neg_samples_all_queues = %lg \\n\", total_neg_samples_all_queues);
Rprintf(\"Q_2 = %lg \\n\", Q_2);
Rprintf(\"Q_4 = %lg \\n\", Q_4);
Rprintf(\"F_w_y = %lg \\n\", F_w_y);
Rprintf(\"w = %lg \\n\", w);
Rprintf(\"y = %lg \\n\", y);
Rprintf(\"E_1 = %lg \\n\", E_1);
Rprintf(\"E_2 = %lg \\n\", E_2);
Rprintf(\"E_3 = %lg \\n\", E_3);
Rprintf(\"E_4 = %lg \\n\", E_4);
Rprintf(\"E_5 = %lg \\n\", E_5);
Rprintf(\"I_P = %lg \\n\", I_P);
Rprintf(\"dE_m_E_m_1[M-2] = %lg \\n\", dE_m_E_m_1[M-2]);
Rprintf(\"lambda_FOI = %lg \\n\", lambda_FOI);
Rprintf(\"E_1_infected = %lg \\n\", E_1_infected);
Rprintf(\"dSE_1 = %lg \\n\", dSE_1);
Rprintf(\"dE_m_E_m_1[0] = %lg \\n\", dE_m_E_m_1[0]);
Rprintf(\"beta_t = %lg \\n\", beta_t);
Rprintf(\"beta_a = %lg \\n\", beta_a);
Rprintf(\"dE_m_E_m_1[0] = %lg \\n\", dE_m_E_m_1[0]);
Rprintf(\"dE_m_E_m_1[1] = %lg \\n\", dE_m_E_m_1[1]);
Rprintf(\"dE_m_E_m_1[2] = %lg \\n\", dE_m_E_m_1[2]);
Rprintf(\"dI_P_I_A = %lg \\n\", dI_P_I_A);
Rprintf(\"dI_P_I_S_1 = %lg \\n\", dI_P_I_S_1);
Rprintf(\"dE_M_I_P = %lg \\n\", dE_M_I_P);
Rprintf(\"R_H = %lg \\n\", R_H);
Rprintf(\"R_A = %lg \\n\", R_A);
Rprintf(\"R_F = %lg \\n\", R_F);
Rprintf(\"N = %lg \\n\", N);
Rprintf(\"S = %lg \\n\", S);
Rprintf(\"L_advanced_2_days = %lg \\n\", L_advanced_2_days);
Rprintf(\"G_w_y = %lg \\n\", G_w_y);
Rprintf(\"L_int = %lg \\n\", L_int);
Rprintf(\"L_1 = %lg \\n\", L_1);
Rprintf(\"L_2 = %lg \\n\", L_2);
Rprintf(\"L_3 = %lg \\n\", L_3);
Rprintf(\"L_4 = %lg \\n\", L_4);
Rprintf(\"Print out params p_S = %lg \\n\", p_S);
Rprintf(\"p_H_cond_S = %lg \\n\", p_H_cond_S);
Rprintf(\"phi_E = %lg \\n\", phi_E);
Rprintf(\"phi_U = %lg \\n\", phi_U);
Rprintf(\"phi_S = %lg \\n\", phi_S);
Rprintf(\"h_V = %lg \\n\", h_V);
Rprintf(\"gamma = %lg \\n\", gamma);
Rprintf(\"R_0 = %lg \\n\", R_0);
Rprintf(\"b_q = %lg \\n\", b_q);
Rprintf(\"b_a = %lg \\n\", b_a);
Rprintf(\"b_p = %lg \\n\", b_p);
Rprintf(\"z_0 = %lg \\n\", z_0);
Rprintf(\"E_0 = %lg \\n\", E_0);
Rprintf(\"N_0 = %lg \\n\", N_0);
Rprintf(\"C_0 = %lg \\n\", C_0);
Rprintf(\"G_w_y_scaling = %lg \\n\", G_w_y_scaling);
Rprintf(\"quarantine_start_time = %lg \\n\", quarantine_start_time);
Rprintf(\"PCR_sens = %lg \\n\", PCR_sens);
Rprintf(\"sigma_M = %lg \\n\", sigma_M);
Rprintf(\"beta_w_3 = %lg \\n\", beta_w_3);
Rprintf(\"beta_w_2 = %lg \\n\", beta_w_2);
Rprintf(\"beta_w_1 = %lg \\n\", beta_w_1);
Rprintf(\"beta_w_0 = %lg \\n\", beta_w_0);
Rprintf(\"g_0 = %lg \\n\", g_0);
Rprintf(\"g_F = %lg \\n\", g_F);
Rprintf(\"sigma_epsilon = %lg \\n\", sigma_epsilon);
//Print out exposed compartments
for(m=0; m<M; m++) {
Rprintf(\"m = %d \\n\", m);
Rprintf(\"e[m] = %lg \\n\", e[m]);
}
//Print out Q_1 and Q_NC compartments
for(v=0; v<V; v++) {
Rprintf(\"v = %d \\n\", v);
Rprintf(\"q_1[v] = %lg \\n\", q_1[v]);
Rprintf(\"q_nc[v] = %lg \\n\", q_nc[v]);
Rprintf(\"p_q1[v] = %lg \\n\", p_q1[v]);
Rprintf(\"y_q1[v] = %lg \\n\", y_q1[v]);
Rprintf(\"total_samples_for_PCR_Testing_q1[v] = %lg \\n\", total_samples_for_PCR_Testing_q1[v]);
Rprintf(\"total_samples_for_PCR_Testing_qnc[v] = %lg \\n\", total_samples_for_PCR_Testing_qnc[v]);
Rprintf(\"total_samples_for_PCR_Testing_lag_1_q1[v] = %lg \\n\", total_samples_for_PCR_Testing_lag_1_q1[v]);
Rprintf(\"total_samples_for_PCR_Testing_lag_1_qnc[v] = %lg \\n\", total_samples_for_PCR_Testing_lag_1_qnc[v]);
Rprintf(\"total_samples_for_PCR_Testing_lag_2_q1[v] = %lg \\n\", total_samples_for_PCR_Testing_lag_2_q1[v]);
Rprintf(\"total_samples_for_PCR_Testing_lag_2_qnc[v] = %lg \\n\", total_samples_for_PCR_Testing_lag_2_qnc[v]);
}
//Print out Q_3 compartments
for(k=0; k<K; k++) {
Rprintf(\"k = %d \\n\", k);
Rprintf(\"q_3[k] = %lg \\n\", q_3[k]);
Rprintf(\"p_q3[k] = %lg \\n\", p_q3[k]);
Rprintf(\"y_q3[k] = %lg \\n\", y_q3[k]);
Rprintf(\"total_samples_for_PCR_Testing_q3[k] = %lg \\n\", total_samples_for_PCR_Testing_q3[k]);
Rprintf(\"total_samples_for_PCR_Testing_lag_1_q3[k] = %lg \\n\", total_samples_for_PCR_Testing_lag_1_q3[k]);
Rprintf(\"total_samples_for_PCR_Testing_lag_2_q3[k] = %lg \\n\", total_samples_for_PCR_Testing_lag_2_q3[k]);
}
Error_Printing_Complete = TRUE;
}
")Initialization Csnippet
init <- Csnippet("
//Rprintf(\"At top of init N_0 = %lg \\n\", N_0);
//Rprintf(\"At top of init E_0 = %lg \\n\", E_0);
int M = (int) M_0; //Number of exposed compartments
int V = (int) V_0; //Number of days spent in hospital (number of cohorts in Queues 1 and NC)
int K = (int) K_0; //Number of days spent in quarantine (number of cohorts in Queue 3)
int m; //Exposed compartment number
int v; //Queue 1/ Queue NC cohort number
int k; //Queue 3 cohort number
//Declare E pointer array
double *e=&E_1;
//Declare Queue 1 pointer arrays
double *q_1=&Q_1_1;
double *p_q1=&P_Q1_1;
double *total_samples_for_PCR_Testing_q1=&total_samples_for_PCR_Testing_Q1_1;
double *total_samples_for_PCR_Testing_lag_1_q1=&total_samples_for_PCR_Testing_lag_1_Q1_1;
double *total_samples_for_PCR_Testing_lag_2_q1=&total_samples_for_PCR_Testing_lag_2_Q1_1;
double *y_q1=&Y_Q1_1;
//Declare Queue NC pointer arrays
double *q_nc=&Q_NC_1;
double *total_samples_for_PCR_Testing_qnc=&total_samples_for_PCR_Testing_QNC_1;
double *total_samples_for_PCR_Testing_lag_1_qnc=&total_samples_for_PCR_Testing_lag_1_QNC_1;
double *total_samples_for_PCR_Testing_lag_2_qnc=&total_samples_for_PCR_Testing_lag_2_QNC_1;
double *y_qnc=&Y_QNC_1;
//Declare Queue 3 pointer arrays
double *q_3=&Q_3_1;
double *p_q3=&P_Q3_1;
double *total_samples_for_PCR_Testing_q3=&total_samples_for_PCR_Testing_Q3_1;
double *total_samples_for_PCR_Testing_lag_1_q3=&total_samples_for_PCR_Testing_lag_1_Q3_1;
double *total_samples_for_PCR_Testing_lag_2_q3=&total_samples_for_PCR_Testing_lag_2_Q3_1;
double *y_q3=&Y_Q3_1;
double E_init_total = 0;
double I_init_total = 0;
if(z_0 > N_0){
I_init_total = nearbyint(N_0);
E_init_total = 0;
S = 0;
}else{
if(E_0 > N_0){
E_init_total = nearbyint(N_0);
I_init_total = 0;
S = 0;
}else{
E_init_total = nearbyint(E_0);
int extra_cap = nearbyint(N_0) - nearbyint(E_0);
if(extra_cap < nearbyint(z_0)){
I_init_total = nearbyint(extra_cap);
S = 0;
}else{
I_init_total = nearbyint(z_0);
S = nearbyint(N_0) - nearbyint(z_0) - nearbyint(E_0);
}
}
}
//Assign early stage infections
double time_pre_symp = 1/phi_U;
double time_symp = 1/phi_S;
double prop_time_pre_symp = time_pre_symp/(time_pre_symp + time_symp);
double total_init_I_symp = nearbyint(p_S*I_init_total);
I_A = nearbyint((1-p_S)*I_init_total);
I_P = nearbyint(prop_time_pre_symp*total_init_I_symp);
I_S_1 = nearbyint((1-prop_time_pre_symp)*total_init_I_symp);
//Late stage infection compartments
I_S_2 = 0;
I_H = 0;
//Recovered Compartments
R_A = 0;
R_F = 0;
R_H = 0;
//Whole Population
N = nearbyint(N_0);
//Asymptomatic Testing Positive Cases (in isolation)
A_T = 0;
//Transmission Rate
double total_time_infected = (1/gamma) + (1/phi_S);
double gamma_total = 1/total_time_infected;
double Beta_0 = R_0*(gamma_total);
beta_t = Beta_0;
//Reported Cases
C_Q1 = nearbyint(p_H_cond_S*C_0);
C_Q2 = 0;
C_Q3 = nearbyint((1-p_H_cond_S)*C_0);
C_Q4 = 0;
Y_sum = 0;
//Queue
L_int = nearbyint(L_advanced_2_days);
L_1 = 0;
L_2 = 0;
L_3 = 0;
L_4 = 0;
Prop_Positive_Tests_Track = 0;
G_w_y = 0;
Q_2 = 0;
Q_4 = 0;
Backlog_Queue_1 = 0;
Backlog_Queue_NC = 0;
Backlog_Queue_3 = 0;
First_re_test_Q1 = 0;
First_re_test_Q3 = 0;
Second_re_test_Q1 = 0;
Second_re_test_Q3 = 0;
total_samples_for_PCR_Testing_backlog_QNC = 0;
total_samples_for_PCR_Testing_backlog_Q1 = 0;
total_samples_for_PCR_Testing_backlog_Q3 = 0;
total_samples_for_PCR_Testing_backlog_lag_1_Q1 = 0;
total_samples_for_PCR_Testing_backlog_lag_1_Q3 = 0;
total_samples_for_PCR_Testing_backlog_lag_1_QNC = 0;
total_samples_for_PCR_Testing_backlog_lag_2_Q1 = 0;
total_samples_for_PCR_Testing_backlog_lag_2_Q3 = 0;
total_samples_for_PCR_Testing_backlog_lag_2_QNC = 0;
total_samples_for_PCR_Testing_Q2 = 0;
total_samples_for_PCR_Testing_Q4 = 0;
neg_samples_Q1 = 0;
neg_samples_Q3 = 0;
neg_samples_Q5 = 0;
total_neg_samples_all_queues = 0;
Y_Q1_backlog = 0;
Y_QNC_backlog = 0;
Y_Q3_backlog = 0;
//Initialize Q5 variables
infected_sample_size = 0;
total_sample_size = 0;
prob_infected_Q5 = 0;
total_samples_for_PCR_Testing_Q5 = 0;
Y_Q5 = 0;
//Initialize Arrays
//Exposed compartment (including first one)
for(m = 0; m < M; m++){
e[m] = nearbyint(E_init_total/5);
}
//Queue 1 and Queue NC arrays
for(v = 0; v < V; v++){
q_1[v] = 0;
q_nc[v] = 0;
p_q1[v] = 0;
total_samples_for_PCR_Testing_q1[v] = 0;
total_samples_for_PCR_Testing_qnc[v] = 0;
total_samples_for_PCR_Testing_lag_1_q1[v] = 0;
total_samples_for_PCR_Testing_lag_1_qnc[v] = 0;
total_samples_for_PCR_Testing_lag_2_q1[v] = 0;
total_samples_for_PCR_Testing_lag_2_qnc[v] = 0;
y_q1[v] = 0;
y_qnc[v] = 0;
}
//Queue 3 arrays
for(k = 0; k < K; k++){
q_3[k] = 0;
p_q3[k] = 0;
total_samples_for_PCR_Testing_q3[k] = 0;
total_samples_for_PCR_Testing_lag_1_q3[k] = 0;
total_samples_for_PCR_Testing_lag_2_q3[k] = 0;
y_q3[k] = 0;
}
//Set Flags
Neg_State_Value_Detected = FALSE;
NAN_State_Value_Detected = FALSE;
Error_Printing_Complete = FALSE;
//Rprintf(\"At init N = %lg \\n\", N);
//Rprintf(\"At init S = %lg \\n\", S);
//Rprintf(\"At init E_1 = %lg \\n\", E_1);
//Rprintf(\"At init I_P = %lg \\n\", I_P);
//Rprintf(\"At init I_S_1 = %lg \\n\", I_S_1);
//Rprintf(\"At init C_Q1 = %lg \\n\", C_Q2);
")Parameter Transforms
par_trans = parameter_trans(log = c("R_0", "gamma", "h_V",
"phi_E", "phi_U", "phi_S",
"E_0", "z_0", "N_0", "C_0", "sigma_M"),
logit = c("PCR_sens", "p_S", "p_H_cond_S",
"b_q", "b_a", "b_p", "G_w_y_scaling"))Measurement Model
rmeas <- Csnippet("
double size = 1.0/sigma_M/sigma_M;
Y = rnbinom_mu(size,Y_sum);
double prop_sd = sqrt(Prop_Positive_Tests_Track*(1-Prop_Positive_Tests_Track)/L_int);
obs_prop_positive = rnorm(Prop_Positive_Tests_Track, prop_sd);
")dmeas <- Csnippet("
if(isnan(Y)){
lik = 0;
}else{
if(G_w_y_scaling > 0.33){
lik = -39;
}else{
double size = 1.0/sigma_M/sigma_M;
static double tol = 0.1;
double prop_sd = sqrt(Prop_Positive_Tests_Track*(1-Prop_Positive_Tests_Track)/L_int);
double lik_2 = dnorm(obs_prop_positive,Prop_Positive_Tests_Track,prop_sd,1);
lik = dnbinom_mu(Y,size,Y_sum+tol,1);
}
}
//Debugging Print Code
//Rprintf(\"t = %lg \\n\", t);
//Rprintf(\"I_S_1 = %lg \\n\", I_S_1);
//Rprintf(\"Lik = %lg \\n\", lik);
//Rprintf(\"Y = %lg \\n\", Y);
//Rprintf(\"Y_sum = %lg \\n\", Y_sum);
//Rprintf(\"tol = %lg \\n\", tol);
//Rprintf(\"size = %lg \\n\", size);
if (!give_log) lik = exp(lik);
")Simulate from reasonable parameters
Definte reasonable parameters
##Initial param guesses
phi_E = 1.09
phi_U = phi_E
phi_S = 1/5
h_V = 1/13
p_S = 0.90
p_H_cond_S = 0.30
gamma = 1/3
true_quarantine_start_time= as.Date("2020-03-23")
true_social_distancing_start_time = as.Date("2020-03-19")
converted_quarantine_start_time = true_quarantine_start_time - true_start_date
converted_quarantine_start_time## Time difference of 22 daysquarantine_start_time = as.numeric(converted_quarantine_start_time)
converted_social_distancing_start_time = true_social_distancing_start_time - true_start_date
converted_social_distancing_start_time## Time difference of 18 dayssocial_distancing_start_time = as.numeric(converted_social_distancing_start_time)
PCR_sens = 0.90
b_a = 0
R_0 = 3
b_q = .20
b_p = 1;
E_0 = 15200
z_0 = 2200
N_0 = 8.0e6
C_0 = 0
sigma_M = 0.25
G_w_y_scaling = 0.162
param_vec = c(M_0 = M,
V_0 = V,
K_0 = K,
phi_E = phi_E,
phi_U = phi_U,
phi_S = phi_S,
h_V = h_V,
p_S = p_S,
p_H_cond_S = p_H_cond_S,
gamma = gamma,
quarantine_start_time = quarantine_start_time,
social_distancing_start_time = social_distancing_start_time,
PCR_sens = PCR_sens,
b_q = b_q,
b_a = b_a,
b_p = b_p,
R_0 = R_0,
E_0 = E_0,
z_0 = z_0,
N_0 = N_0,
C_0 = C_0,
sigma_M = sigma_M,
beta_w_3 = beta_w_3,
beta_w_2 = beta_w_2,
beta_w_1 = beta_w_1,
beta_w_0 = beta_w_0,
g_0 = g_0,
g_F = g_F,
sigma_epsilon = sigma_epsilon,
G_w_y_scaling = G_w_y_scaling)
param_vec## M_0 V_0
## 5.000000e+00 1.300000e+01
## K_0 phi_E
## 1.400000e+01 1.090000e+00
## phi_U phi_S
## 1.090000e+00 2.000000e-01
## h_V p_S
## 7.692308e-02 9.000000e-01
## p_H_cond_S gamma
## 3.000000e-01 3.333333e-01
## quarantine_start_time social_distancing_start_time
## 2.200000e+01 1.800000e+01
## PCR_sens b_q
## 9.000000e-01 2.000000e-01
## b_a b_p
## 0.000000e+00 1.000000e+00
## R_0 E_0
## 3.000000e+00 1.520000e+04
## z_0 N_0
## 2.200000e+03 8.000000e+06
## C_0 sigma_M
## 0.000000e+00 2.500000e-01
## beta_w_3 beta_w_2
## 1.215073e-02 9.810086e-01
## beta_w_1 beta_w_0
## -3.723481e+01 2.294094e+02
## g_0 g_F
## 1.183300e+03 1.162005e-01
## sigma_epsilon G_w_y_scaling
## 1.091121e+02 1.620000e-01Call simulate
sim_data = simulate(nsim = 100,
seed = 23456,
times = Observed_data$times,
t0 = t0,
rprocess = pomp::euler(rproc,delta.t = 1),
params = param_vec,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
covar = covar,
format = "data.frame",
obs = FALSE)## in 'pomp': the unrecognized argument 'obs' is available for use by the POMP basic components.#head(sim_data)Plot from simulated data
sim_data_median_Y = aggregate(Y ~ time, sim_data, median)
sim_data_quant = aggregate(Y ~ time, sim_data, quantile, probs = c(0.025, 0.975))
sim_data_quant$Y = as.data.frame(sim_data_quant$Y)
colnames(sim_data_quant$Y) = c("Q2.5", "Q97.5")
comp_data = data.frame(time = sim_data_median_Y$time,
sim_data_median = sim_data_median_Y$Y,
sim_data_low_Q = sim_data_quant$Y$Q2.5,
sim_data_high_Q = sim_data_quant$Y$Q97.5,
true_data = Observed_data$Y)
comp_data_melt = melt(comp_data, id.vars = c("time", "sim_data_low_Q",
"sim_data_high_Q"))
p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = sim_data_low_Q,
ymax = sim_data_high_Q), fill = "grey70") +
geom_line(aes(x = time, y = value, color = variable)) +
geom_point(aes(x = time, y = value, color = variable)) +
rahul_theme +
theme_white_background +
geom_vline(xintercept = quarantine_start_time, color = 'blue') +
geom_vline(xintercept = social_distancing_start_time, color = 'orange') +
median_legend_lab +
xlab("Days since March 1 2020")+
ylab("Observed Daily Cases")
p
figure_name = paste0("../Figures/Local_Simulation_Tests/", model_name, "_test_sim_from_inital_params.png")
png(figure_name)
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = log(sim_data_low_Q),
ymax = log(sim_data_high_Q)), fill = "grey70") +
geom_line(aes(x = time, y = log(value), color = variable)) +
geom_point(aes(x = time, y = log(value), color = variable)) +
rahul_theme +
theme_white_background +
geom_vline(xintercept = quarantine_start_time, color = 'blue') +
geom_vline(xintercept = social_distancing_start_time, color = 'orange') +
median_legend_lab +
xlab("Days since March 1 2020")+
ylab("Observed Daily Cases")
p
### S over N
sim_data$S_over_N = sim_data$S/sim_data$N
sim_data_S_over_N_median = aggregate(S_over_N ~ time, sim_data, median)
sim_data_S_over_N_quant = aggregate(S_over_N ~ time, sim_data, quantile, probs = c(0.025, 0.975))
sim_data_S_over_N_quant$S_over_N = as.data.frame(sim_data_S_over_N_quant$S_over_N)
colnames(sim_data_S_over_N_quant$S_over_N) = c("Q2.5", "Q97.5")
comp_data = data.frame(time = sim_data_S_over_N_median$time,
sim_data_median = sim_data_S_over_N_median$S_over_N,
sim_data_low_Q = sim_data_S_over_N_quant$S_over_N$Q2.5,
sim_data_high_Q = sim_data_S_over_N_quant$S_over_N$Q97.5)
comp_data_melt = melt(comp_data, id.vars = c("time", "sim_data_low_Q",
"sim_data_high_Q"))
p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = sim_data_low_Q,
ymax = sim_data_high_Q), fill = "grey70") +
geom_line(aes(x = time, y = value, color = variable)) +
geom_point(aes(x = time, y = value, color = variable), size = 3) +
rahul_theme +
theme_white_background +
median_legend_lab + rahul_man_figure_theme +
xlab("Days since March 1, 2020")+
ylab("S over N")
p
png("../Figures/MIF_local_test_results/N_13_Model_sim_test_params_S_over_N.png")
print(p)
dev.off()## quartz_off_screen
## 2###Diagnostic Plotting
state_var_list = colnames(sim_data)
combined_sim_var_df = data.frame(matrix(nrow = 0, ncol = 5))
colnames(combined_sim_var_df) = c("time", "median", "low_Q", "high_Q",
"var")
for(var_index in seq(from = 3, to = length(state_var_list))){
single_var = state_var_list[var_index]
#print(single_var)
single_var_data = dplyr::select(sim_data,
time,
.id,
target_var = single_var)
single_var_df = single_var_data %>%
group_by(time)%>%
summarize(median = median(target_var),
low_Q = quantile(target_var, 0.025),
high_Q = quantile(target_var, 0.975)) %>%
as.data.frame() %>%
mutate(var = single_var)
combined_sim_var_df = rbind(combined_sim_var_df, single_var_df)
}
epi_comp_list = c("S", "E_1","I_P","I_S_1", "I_S_2", "I_A", "I_H", "R_A", "R_F", "R_H", "A_T", "beta")
S_Comp_only = combined_sim_var_df %>%
filter(var %in% epi_comp_list)
p = ggplot(data = S_Comp_only) +
geom_ribbon(aes(x = time, ymin = low_Q,
ymax = high_Q), fill = "grey70") +
geom_line(aes(x = time, y = median, color = 'red')) +
geom_point(aes(x = time, y = median, color = 'red')) +
rahul_theme +
theme_white_background +
median_legend_lab +
xlab("Days since March 1, 2020")+
ylab("State variable value") +
geom_vline(xintercept = quarantine_start_time, color = 'blue') +
facet_wrap(~var, scales = "free_y") +
geom_vline(xintercept = social_distancing_start_time, color = 'orange') +
theme(legend.position = "none")
p
Accum_and_pop_var_list = c("C_Q1", "C_Q2","C_QNC",
"C_Q3","C_Q4",
"Y_sum", "N", "G_w_y")
Accum_and_pop_var_only = combined_sim_var_df %>%
filter(var %in% Accum_and_pop_var_list)
p = ggplot(data = Accum_and_pop_var_only) +
geom_ribbon(aes(x = time, ymin = low_Q,
ymax = high_Q), fill = "grey70") +
geom_line(aes(x = time, y = median, color = 'red')) +
geom_point(aes(x = time, y = median, color = 'red')) +
rahul_theme +
theme_white_background +
median_legend_lab +
xlab("Days since March 1, 2020")+
ylab("State variable value") +
geom_vline(xintercept = quarantine_start_time, color = 'blue') +
geom_vline(xintercept = social_distancing_start_time, color = 'orange') +
facet_wrap(~var, scales = "free_y") +
theme(legend.position = "none")
p
Queue_comp_list = c("Backlog_Queue_1", "Backlog_Queue_NC", "Q_2","Backlog_Queue_3", "Q_4",
"neg_samples_Q1", "neg_samples_Q3", "total_neg_samples_all_queues", "L_int")
Queue_Comp_only = combined_sim_var_df %>%
filter(var %in% Queue_comp_list)
p = ggplot(data = Queue_Comp_only) +
geom_ribbon(aes(x = time, ymin = low_Q,
ymax = high_Q), fill = "grey70") +
geom_line(aes(x = time, y = median, color = 'red')) +
geom_point(aes(x = time, y = median, color = 'red')) +
geom_vline(xintercept = quarantine_start_time, color = 'blue') +
geom_vline(xintercept = social_distancing_start_time, color = 'orange') +
rahul_theme +
theme_white_background +
median_legend_lab +
xlab("Days since March 1, 2020")+
ylab("State variable value") +
facet_wrap(~var, scales = "free_y") +
theme(legend.position = "none")
p
flag_list = c( "Neg_State_Value_Detected",
"NAN_State_Value_Detected",
"Error_Printing_Complete")
flag_only = combined_sim_var_df %>%
filter(var %in% flag_list)
p = ggplot(data = flag_only) +
geom_ribbon(aes(x = time, ymin = low_Q,
ymax = high_Q), fill = "grey70") +
geom_line(aes(x = time, y = median, color = 'red')) +
geom_point(aes(x = time, y = median, color = 'red')) +
geom_vline(xintercept = quarantine_start_time, color = 'blue') +
geom_vline(xintercept = social_distancing_start_time, color = 'orange') +
rahul_theme +
theme_white_background +
median_legend_lab +
xlab("Days since March 1, 2020")+
ylab("State variable value") +
facet_wrap(~var, scales = "free_y") +
theme(legend.position = "none")
p
backlog_var_list = c( "Backlog_Queue_1",
"total_samples_for_PCR_Testing_backlog_Q1",
"total_samples_for_PCR_Testing_backlog_lag_1_Q1",
"total_samples_for_PCR_Testing_backlog_lag_2_Q1",
"Backlog_Queue_NC",
"total_samples_for_PCR_Testing_backlog_QNC",
"total_samples_for_PCR_Testing_backlog_lag_1_QNC",
"total_samples_for_PCR_Testing_backlog_lag_2_QNC",
"Backlog_Queue_3",
"total_samples_for_PCR_Testing_backlog_Q3",
"total_samples_for_PCR_Testing_backlog_lag_1_Q3",
"total_samples_for_PCR_Testing_backlog_lag_2_Q3")
backlog_var_only = combined_sim_var_df %>%
filter(var %in% backlog_var_list)
p = ggplot(data = backlog_var_only) +
geom_ribbon(aes(x = time, ymin = low_Q,
ymax = high_Q), fill = "grey70") +
geom_line(aes(x = time, y = median, color = 'red')) +
geom_point(aes(x = time, y = median, color = 'red')) +
geom_vline(xintercept = quarantine_start_time, color = 'blue') +
geom_vline(xintercept = social_distancing_start_time, color = 'orange') +
rahul_theme +
theme_white_background +
median_legend_lab +
xlab("Backlog Variables Only -Days since March 1, 2020")+
ylab("State variable value") +
facet_wrap(~var, scales = "free_y") +
theme(legend.position = "none")
p
queues_2_and_4_var_list = c("C_Q2","Q_2",
"total_samples_for_PCR_Testing_Q2",
"C_Q4", "Q_4",
"total_samples_for_PCR_Testing_Q4",
"Y_Q5", "neg_samples_Q5", "L_4")
queues_2_and_4_var_only = combined_sim_var_df %>%
filter(var %in% queues_2_and_4_var_list)
p = ggplot(data = queues_2_and_4_var_only) +
geom_ribbon(aes(x = time, ymin = low_Q,
ymax = high_Q), fill = "grey70") +
geom_line(aes(x = time, y = median, color = 'red')) +
geom_point(aes(x = time, y = median, color = 'red')) +
geom_vline(xintercept = quarantine_start_time, color = 'blue') +
rahul_theme +
theme_white_background +
median_legend_lab +
xlab("Queues 2 and 4 Variables Only -Days since March 1, 2020")+
ylab("State variable value") +
facet_wrap(~var, scales = "free_y") +
theme(legend.position = "none")
p
### Hospitalization Comparison with Syndrome Surveliance
obs_resp_synd_df_raw = read.csv(
file = "../Generated_Data/simulated_non_COVID_data.csv")
#head(obs_resp_synd_df_raw)Array diagnostic testing
Exposed state compartments
exposed_list = sprintf("E_%d",1:M)
exposed_only = combined_sim_var_df %>%
filter(var %in% exposed_list)
p = ggplot(data = exposed_only) +
geom_ribbon(aes(x = time, ymin = low_Q,
ymax = high_Q), fill = "grey70") +
geom_line(aes(x = time, y = median, color = 'red')) +
geom_point(aes(x = time, y = median, color = 'red')) +
geom_vline(xintercept = quarantine_start_time, color = 'blue') +
geom_vline(xintercept = social_distancing_start_time, color = 'orange') +
rahul_theme +
theme_white_background +
median_legend_lab +
xlab("Days since March 1, 2020")+
ylab("State variable value") +
facet_wrap(~var, scales = "free_y") +
theme(legend.position = "none")
p
Queue 1 Testing
Queue 1 Compartments
variables_to_loop_through = c("Q_1_","P_Q1_",
"total_samples_for_PCR_Testing_Q1_",
"total_samples_for_PCR_Testing_lag_1_Q1_",
"total_samples_for_PCR_Testing_lag_2_Q1_",
"Y_Q1_",
"Q_NC_",
"total_samples_for_PCR_Testing_QNC_",
"total_samples_for_PCR_Testing_lag_1_QNC_",
"total_samples_for_PCR_Testing_lag_2_QNC_",
"Y_QNC_",
"Q_3_",
"P_Q3_",
"total_samples_for_PCR_Testing_Q3_",
"total_samples_for_PCR_Testing_lag_1_Q3_",
"total_samples_for_PCR_Testing_lag_2_Q3_",
"Y_Q3_")
Array_size_list = c(rep(V, 11), rep(K,6))
plot_array_var = function(array_var, Array_size){
single_var_array_list = sprintf(paste0(array_var,"%d"),1:Array_size)
array_vars_only = combined_sim_var_df %>%
filter(var %in% single_var_array_list)
p = ggplot(data = array_vars_only) +
geom_ribbon(aes(x = time, ymin = low_Q,
ymax = high_Q), fill = "grey70") +
geom_line(aes(x = time, y = median, color = 'red')) +
geom_point(aes(x = time, y = median, color = 'red')) +
geom_vline(xintercept = quarantine_start_time, color = 'blue') +
geom_vline(xintercept = social_distancing_start_time, color = 'orange') +
rahul_theme +
theme_white_background +
median_legend_lab +
xlab(paste0(array_var,"-","Days since March 1, 2020"))+
ylab("State variable value") +
facet_wrap(~var, scales = "free_y") +
theme(legend.position = "none")
print(p)
}
for(array_var_index in seq(1:length(variables_to_loop_through))){
plot_array_var(array_var = variables_to_loop_through[array_var_index],
Array_size = Array_size_list[array_var_index])
}
Queue 1 Passage Check
total_cases_entering_Q1 = sim_data %>%
dplyr::select(time,.id,C_Q1, Y_sum, neg_samples_Q1, Q_1_2,
Q_1_3, Q_1_13,
total_samples_for_PCR_Testing_Q1_1,
total_samples_for_PCR_Testing_Q1_2,
total_samples_for_PCR_Testing_Q1_3,
total_samples_for_PCR_Testing_Q1_4,
total_samples_for_PCR_Testing_Q1_5,
total_samples_for_PCR_Testing_Q1_6,
total_samples_for_PCR_Testing_Q1_7,
total_samples_for_PCR_Testing_Q1_8,
total_samples_for_PCR_Testing_Q1_9,
total_samples_for_PCR_Testing_Q1_10,
total_samples_for_PCR_Testing_Q1_11,
total_samples_for_PCR_Testing_Q1_12,
total_samples_for_PCR_Testing_Q1_13,
total_samples_for_PCR_Testing_backlog_Q1) %>%
group_by(.id) %>%
summarize(total_cases_entering_Q1 = sum(C_Q1),
total_cases_tested_in_first_cohort = sum(total_samples_for_PCR_Testing_Q1_1),
total_cases_with_at_least_two_cohorts = sum(Q_1_2),
total_cases_tested_in_second_cohort = sum(total_samples_for_PCR_Testing_Q1_2),
total_cases_with_at_least_three_cohorts = sum(Q_1_3),
total_cases_tested_in_3_cohort = sum(total_samples_for_PCR_Testing_Q1_3),
total_cases_tested_in_4_cohort = sum(total_samples_for_PCR_Testing_Q1_4),
total_cases_tested_in_5_cohort = sum(total_samples_for_PCR_Testing_Q1_5),
total_cases_tested_in_6_cohort = sum(total_samples_for_PCR_Testing_Q1_6),
total_cases_tested_in_7_cohort = sum(total_samples_for_PCR_Testing_Q1_7),
total_cases_tested_in_8_cohort = sum(total_samples_for_PCR_Testing_Q1_8),
total_cases_tested_in_9_cohort = sum(total_samples_for_PCR_Testing_Q1_9),
total_cases_tested_in_10_cohort = sum(total_samples_for_PCR_Testing_Q1_10),
total_cases_tested_in_11_cohort = sum(total_samples_for_PCR_Testing_Q1_11),
total_cases_tested_in_12_cohort = sum(total_samples_for_PCR_Testing_Q1_12),
total_cases_tested_in_13_cohort = sum(total_samples_for_PCR_Testing_Q1_13),
total_cases_tested_from_backlog = sum(total_samples_for_PCR_Testing_backlog_Q1),
total_cases_with_at_least_thirteen_cohorts = sum(Q_1_13),
true_positives_from_Q1 = sum(Y_sum),
false_negatives_from_Q1 = sum(neg_samples_Q1)) %>%
as.data.frame() %>%
mutate(total_cases_leaving_Q1 = true_positives_from_Q1 +
false_negatives_from_Q1,
total_cases_in_queue_after_one_cohort = total_cases_tested_in_first_cohort +
total_cases_with_at_least_two_cohorts,
total_cases_in_queue_after_two_cohorts = total_cases_tested_in_first_cohort +
total_cases_tested_in_second_cohort +total_cases_with_at_least_three_cohorts,
total_cases_in_queue_after_12_cohorts =total_cases_tested_in_first_cohort +
total_cases_tested_in_second_cohort +
total_cases_tested_in_3_cohort +
total_cases_tested_in_4_cohort +
total_cases_tested_in_5_cohort +
total_cases_tested_in_6_cohort +
total_cases_tested_in_7_cohort +
total_cases_tested_in_8_cohort +
total_cases_tested_in_9_cohort +
total_cases_tested_in_10_cohort +
total_cases_tested_in_11_cohort +
total_cases_tested_in_12_cohort +
total_cases_with_at_least_thirteen_cohorts,
total_cases_tested_in_queue_including_from_backlog =
total_cases_tested_in_first_cohort +
total_cases_tested_in_second_cohort +
total_cases_tested_in_3_cohort +
total_cases_tested_in_4_cohort +
total_cases_tested_in_5_cohort +
total_cases_tested_in_6_cohort +
total_cases_tested_in_7_cohort +
total_cases_tested_in_8_cohort +
total_cases_tested_in_9_cohort +
total_cases_tested_in_10_cohort +
total_cases_tested_in_11_cohort +
total_cases_tested_in_12_cohort +
total_cases_tested_in_13_cohort +
total_cases_tested_from_backlog) %>%
mutate(overall_queue_gap = total_cases_entering_Q1-total_cases_leaving_Q1,
gap_after_first_cohort = total_cases_entering_Q1 - total_cases_in_queue_after_one_cohort,
gap_after_second_cohort = total_cases_entering_Q1 - total_cases_in_queue_after_two_cohorts,
gap_after_12_cohorts = total_cases_entering_Q1 - total_cases_in_queue_after_12_cohorts,
gap_after_all_compartments = total_cases_entering_Q1 - total_cases_tested_in_queue_including_from_backlog)
#total_cases_entering_Q1total_cases_entering_Q1 = sim_data %>%
dplyr::select(time,.id,C_Q1, Y_sum, neg_samples_Q1, Q_1_2,
Q_1_3, Q_1_13,
total_samples_for_PCR_Testing_lag_2_Q1_1,
total_samples_for_PCR_Testing_lag_2_Q1_2,
total_samples_for_PCR_Testing_lag_2_Q1_3,
total_samples_for_PCR_Testing_lag_2_Q1_4,
total_samples_for_PCR_Testing_lag_2_Q1_5,
total_samples_for_PCR_Testing_lag_2_Q1_6,
total_samples_for_PCR_Testing_lag_2_Q1_7,
total_samples_for_PCR_Testing_lag_2_Q1_8,
total_samples_for_PCR_Testing_lag_2_Q1_9,
total_samples_for_PCR_Testing_lag_2_Q1_10,
total_samples_for_PCR_Testing_lag_2_Q1_11,
total_samples_for_PCR_Testing_lag_2_Q1_12,
total_samples_for_PCR_Testing_lag_2_Q1_13,
total_samples_for_PCR_Testing_backlog_lag_2_Q1) %>%
group_by(.id) %>%
summarize(total_cases_entering_Q1 = sum(C_Q1),
total_cases_tested_in_first_cohort = sum(total_samples_for_PCR_Testing_lag_2_Q1_1),
total_cases_with_at_least_two_cohorts = sum(Q_1_2),
total_cases_tested_in_second_cohort = sum(total_samples_for_PCR_Testing_lag_2_Q1_2),
total_cases_with_at_least_three_cohorts = sum(Q_1_3),
total_cases_tested_in_3_cohort = sum(total_samples_for_PCR_Testing_lag_2_Q1_3),
total_cases_tested_in_4_cohort = sum(total_samples_for_PCR_Testing_lag_2_Q1_4),
total_cases_tested_in_5_cohort = sum(total_samples_for_PCR_Testing_lag_2_Q1_5),
total_cases_tested_in_6_cohort = sum(total_samples_for_PCR_Testing_lag_2_Q1_6),
total_cases_tested_in_7_cohort = sum(total_samples_for_PCR_Testing_lag_2_Q1_7),
total_cases_tested_in_8_cohort = sum(total_samples_for_PCR_Testing_lag_2_Q1_8),
total_cases_tested_in_9_cohort = sum(total_samples_for_PCR_Testing_lag_2_Q1_9),
total_cases_tested_in_10_cohort = sum(total_samples_for_PCR_Testing_lag_2_Q1_10),
total_cases_tested_in_11_cohort = sum(total_samples_for_PCR_Testing_lag_2_Q1_11),
total_cases_tested_in_12_cohort = sum(total_samples_for_PCR_Testing_lag_2_Q1_12),
total_cases_tested_in_13_cohort = sum(total_samples_for_PCR_Testing_lag_2_Q1_13),
total_cases_tested_from_backlog = sum(total_samples_for_PCR_Testing_backlog_lag_2_Q1),
total_cases_with_at_least_thirteen_cohorts = sum(Q_1_13),
true_positives_from_Q1 = sum(Y_sum),
false_negatives_from_Q1 = sum(neg_samples_Q1)) %>%
as.data.frame() %>%
mutate(total_cases_leaving_Q1 = true_positives_from_Q1 +
false_negatives_from_Q1,
total_cases_in_queue_after_one_cohort = total_cases_tested_in_first_cohort +
total_cases_with_at_least_two_cohorts,
total_cases_in_queue_after_two_cohorts = total_cases_tested_in_first_cohort +
total_cases_tested_in_second_cohort +total_cases_with_at_least_three_cohorts,
total_cases_in_queue_after_12_cohorts =total_cases_tested_in_first_cohort +
total_cases_tested_in_second_cohort +
total_cases_tested_in_3_cohort +
total_cases_tested_in_4_cohort +
total_cases_tested_in_5_cohort +
total_cases_tested_in_6_cohort +
total_cases_tested_in_7_cohort +
total_cases_tested_in_8_cohort +
total_cases_tested_in_9_cohort +
total_cases_tested_in_10_cohort +
total_cases_tested_in_11_cohort +
total_cases_tested_in_12_cohort +
total_cases_with_at_least_thirteen_cohorts,
total_cases_tested_in_queue_including_from_backlog =
total_cases_tested_in_first_cohort +
total_cases_tested_in_second_cohort +
total_cases_tested_in_3_cohort +
total_cases_tested_in_4_cohort +
total_cases_tested_in_5_cohort +
total_cases_tested_in_6_cohort +
total_cases_tested_in_7_cohort +
total_cases_tested_in_8_cohort +
total_cases_tested_in_9_cohort +
total_cases_tested_in_10_cohort +
total_cases_tested_in_11_cohort +
total_cases_tested_in_12_cohort +
total_cases_tested_in_13_cohort +
total_cases_tested_from_backlog) %>%
mutate(overall_queue_gap = total_cases_entering_Q1-total_cases_leaving_Q1,
gap_after_first_cohort = total_cases_entering_Q1 - total_cases_in_queue_after_one_cohort,
gap_after_second_cohort = total_cases_entering_Q1 - total_cases_in_queue_after_two_cohorts,
gap_after_12_cohorts = total_cases_entering_Q1 - total_cases_in_queue_after_12_cohorts,
gap_after_all_compartments = total_cases_entering_Q1 - total_cases_tested_in_queue_including_from_backlog)
#total_cases_entering_Q1Check end of first sim run
sim_data_first_run_only = sim_data %>%
filter(.id == 1)
#head(sim_data_first_run_only)
sim_data_first_run_only$total_samples_for_PCR_Testing_lag_1_Q1_1[nrow(sim_data_first_run_only)]## [1] 307sim_data_first_run_only$total_samples_for_PCR_Testing_Q1_1[nrow(sim_data_first_run_only)]## [1] 307sim_data_first_run_only$total_samples_for_PCR_Testing_lag_2_Q1_1[nrow(sim_data_first_run_only)]## [1] 306sim_data_waiting_for_testing_at_end = sim_data %>%
dplyr::select(time, .id, total_samples_for_PCR_Testing_lag_1_Q1_1,
total_samples_for_PCR_Testing_lag_2_Q1_1) %>%
filter(time == max(sim_data$time)) %>%
mutate(total_waiting_for_testing = total_samples_for_PCR_Testing_lag_1_Q1_1 +
total_samples_for_PCR_Testing_lag_2_Q1_1) %>%
dplyr::select(.id, total_waiting_for_testing)
total_cases_entering_Q1_with_adj = join(total_cases_entering_Q1,
sim_data_waiting_for_testing_at_end)## Joining by: .idtotal_cases_entering_Q1_with_adj_summary_df = total_cases_entering_Q1_with_adj %>%
mutate(gap_adjusted_for_waiting = overall_queue_gap - total_waiting_for_testing) %>%
dplyr::select(.id, total_cases_entering_Q1, true_positives_from_Q1, false_negatives_from_Q1,
overall_queue_gap, total_waiting_for_testing, gap_adjusted_for_waiting)
#total_cases_entering_Q1_with_adj_summary_df
sum(total_cases_entering_Q1_with_adj_summary_df$gap_adjusted_for_waiting)## [1] -14216013Updated test
sim_data_first_run_only = sim_data %>%
filter(.id == 1)
total_postive_cases_leaving_Q1 = sum(sim_data_first_run_only$Y_Q1_1 +
sim_data_first_run_only$Y_Q1_2 +
sim_data_first_run_only$Y_Q1_3 +
sim_data_first_run_only$Y_Q1_4 +
sim_data_first_run_only$Y_Q1_5 +
sim_data_first_run_only$Y_Q1_6 +
sim_data_first_run_only$Y_Q1_7 +
sim_data_first_run_only$Y_Q1_8 +
sim_data_first_run_only$Y_Q1_9 +
sim_data_first_run_only$Y_Q1_10 +
sim_data_first_run_only$Y_Q1_11 +
sim_data_first_run_only$Y_Q1_12 +
sim_data_first_run_only$Y_Q1_13 +
sim_data_first_run_only$Y_Q1_backlog)
total_cases_entering_Q1_first_run_only = sum(sim_data_first_run_only$C_Q1)
gap = total_cases_entering_Q1_first_run_only - sum(sim_data_first_run_only$neg_samples_Q1) - total_postive_cases_leaving_Q1
gap## [1] 613waiting_to_be_tested = sim_data_first_run_only$total_samples_for_PCR_Testing_Q1_1[nrow(sim_data_first_run_only)] + sim_data_first_run_only$total_samples_for_PCR_Testing_Q1_2[nrow(sim_data_first_run_only)] +sim_data_first_run_only$total_samples_for_PCR_Testing_lag_1_Q1_1[nrow(sim_data_first_run_only)]
gap_taking_into_account_waiting = gap - waiting_to_be_tested
gap_taking_into_account_waiting## [1] -1Queue 2 Diagnostic Test
gap_check_Q2 = sim_data %>%
dplyr::select(time, .id, total_samples_for_PCR_Testing_Q2, C_Q2) %>%
group_by(.id) %>%
summarize(total_samples_entering_Q2 = sum(C_Q2),
total_samples_exiting_Q2 =
sum(total_samples_for_PCR_Testing_Q2)) %>%
as.data.frame() %>%
mutate(Q2_gap = total_samples_entering_Q2 - total_samples_exiting_Q2)
#gap_check_Q2
sum(gap_check_Q2$Q2_gap)## [1] 0Queue 3 Diagnostic Tests
Queue 4 Diagnostic Test
gap_check_Q4 = sim_data %>%
dplyr::select(time, .id, total_samples_for_PCR_Testing_Q4, C_Q4) %>%
group_by(.id) %>%
summarize(total_samples_entering_Q4 = sum(C_Q4),
total_samples_exiting_Q4 =
sum(total_samples_for_PCR_Testing_Q4)) %>%
as.data.frame() %>%
mutate(Q4_gap = total_samples_entering_Q4 - total_samples_exiting_Q4)
#gap_check_Q4
sum(gap_check_Q4$Q4_gap)## [1] 0Filter a simulation
single_sim_df= filter(sim_data, .id == 1)
pfilter_sim_data = dplyr::select(single_sim_df, time = time, Y = Y,
obs_prop_positive = obs_prop_positive)
p = ggplot(data = pfilter_sim_data,(aes(x = time, y = Y))) + geom_point() + geom_line() + rahul_theme + xlab("Days since March 1, 2020")
p
p = ggplot(data = pfilter_sim_data,(aes(x = time, y = obs_prop_positive))) + geom_point() + geom_line() + rahul_theme + xlab("Days since March 1, 2020")
p
ptm <- proc.time()
pfilter_sim_output = pfilter(data = pfilter_sim_data,
seed = 12345,
times = pfilter_sim_data$time,
t0 = t0,
rprocess = pomp::euler(rproc,delta.t = 1),
params = param_vec,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
partrans = par_trans,
covar = covar,
format = "data.frame",
Np = 1000)## in 'pomp': the unrecognized arguments 'seed','rmeas','format' are available for use by the POMP basic components.## Warning: in 'pfilter': the 'tol' argument is deprecated and will be removed in a future release.
## Currently, the default value of 'tol' is 1e-17;
## in future releases, the value will be 0, and the option to choose otherwise will be removed.proc.time() - ptm## user system elapsed
## 2.173 0.844 4.115plot(pfilter_sim_output)
logLik(pfilter_sim_output)## [1] -634.5671eff.sample.size(pfilter_sim_output)## [1] 1000.0000 1000.0000 822.8959 827.2607 895.4643 694.1781 722.1916
## [8] 840.3688 952.6023 916.7908 616.2541 977.6377 960.1219 989.0420
## [15] 999.7542 999.4488 988.0738 989.4586 999.7732 982.9085 999.1487
## [22] 971.0671 998.5513 989.9669 995.3015 996.7541 999.1043 998.8160
## [29] 995.4001 998.7204 999.9884 997.8091 983.9751 999.9525 995.9253
## [36] 999.9921 978.7933 998.3407 999.8346 999.5989 999.6782 987.1592
## [43] 995.4370 998.8890 999.5010 998.3581 990.2449 981.2046 995.4762
## [50] 997.8996 999.8326 998.1491 997.3239 996.9227 986.7272 991.5349
## [57] 997.1606 999.9627 997.9872 988.7210 995.7726 999.9529 993.3058
## [64] 992.9578 984.6960 955.6023 985.2161 969.6718 983.2718 963.0003
## [71] 989.1850 985.4363 979.5927 963.8444 995.3660 985.2345 978.5347
## [78] 988.3406 996.4984 999.8163 999.8727 994.6887 982.9813 979.4249
## [85] 991.7102 948.9667 969.9789 999.4882 981.5719cond.logLik(pfilter_sim_output)## [1] -0.0996888 -0.0996888 -1.5121728 -1.4993592 -2.6620947
## [6] -3.5757501 -3.1537671 -3.2815589 -3.4802516 -3.9078171
## [11] -4.6995480 -4.4912572 -5.9208123 -5.4063077 -5.6856460
## [16] -5.7695740 -7.5208211 -7.7615147 -7.7969200 -7.9739843
## [21] -7.3912231 -9.7484393 -7.5903624 -8.5385805 -8.3814719
## [26] -8.3600041 -7.9105109 -8.0336709 -10.3305543 -8.4517548
## [31] -8.1944218 -9.4815952 -9.4502954 -8.1477611 -8.8093711
## [36] -8.0526688 -11.4049169 -8.2748656 -7.8626049 -7.8268798
## [41] -7.9232965 -9.0811852 -8.4037828 -7.9592648 -7.6996297
## [46] -7.7226555 -8.4312445 -9.3720919 -8.1701706 -7.6123869
## [51] -7.5241459 -7.5310685 -7.8172811 -7.5428679 -8.5789522
## [56] -8.1312156 -7.4123701 -7.3332147 -7.3141693 -7.8110353
## [61] -7.3387964 -7.2154021 -7.7320508 -7.3875221 -8.1192255
## [66] -9.3094740 -7.9348453 -8.4018196 -7.9749913 -8.9058080
## [71] -7.5821407 -7.6768323 -7.8990049 -8.4436768 -7.1455662
## [76] -7.1931534 -7.6911871 -6.9917525 -6.7118502 -6.6631788
## [81] -6.6627789 -6.6518449 -6.9389283 -6.9855587 -6.6195454
## [86] -8.1453321 -7.1787869 -6.4725449 -6.6809928Pfilter real data with 1 particle
ptm <- proc.time()
pfilter_real_output= pfilter(data = Observed_data,
seed = 12345,
times = Observed_data$times,
t0 = t0,
rprocess = pomp::euler(rproc,delta.t = 1),
params = param_vec,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
partrans = par_trans,
covar = covar,
format = "data.frame",
Np = 1)## in 'pomp': the unrecognized arguments 'seed','rmeas','format' are available for use by the POMP basic components.## Warning: in 'pfilter': the 'tol' argument is deprecated and will be removed in a future release.
## Currently, the default value of 'tol' is 1e-17;
## in future releases, the value will be 0, and the option to choose otherwise will be removed.proc.time() - ptm## user system elapsed
## 1.235 0.116 1.451#plot(pfilter_real_output)
logLik(pfilter_real_output)## [1] -659.7182eff.sample.size(pfilter_real_output)## [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## [36] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## [71] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1cond.logLik(pfilter_real_output)## [1] -0.0996888 -0.0996888 -2.3543592 -1.6387175 -2.4285961
## [6] -7.2044660 -5.2613989 -2.4711308 -3.2147348 -5.8260158
## [11] -3.6374770 -4.5489653 -13.6260444 -5.7575748 -8.4762177
## [16] -6.9284486 -6.7128353 -7.1385674 -10.8640684 -7.6267655
## [21] -7.9358032 -7.5374131 -7.5419022 -7.7293555 -7.9483923
## [26] -7.9593722 -7.8977550 -8.1769115 -8.5601276 -8.7863171
## [31] -8.3479813 -8.1403433 -8.2633010 -8.5155886 -8.0891566
## [36] -8.0345201 -8.0747452 -8.4367213 -8.6767022 -9.2979086
## [41] -8.3449749 -7.8228369 -7.7621475 -14.5219999 -8.7479715
## [46] -8.2463578 -7.9729553 -7.6152949 -7.9090265 -7.6957805
## [51] -7.5889196 -7.8961593 -10.1455353 -10.8904030 -7.8067501
## [56] -7.4592594 -7.6531552 -7.3802052 -7.4756446 -7.2615531
## [61] -7.8226361 -7.1614063 -8.1686850 -8.3378726 -7.4890696
## [66] -7.0772493 -7.1676225 -7.0867771 -7.9152144 -8.5431736
## [71] -9.2287064 -7.1984552 -6.9283318 -7.5076518 -6.8150898
## [76] -7.2610213 -9.8035862 -10.1006793 -8.0118467 -6.5956952
## [81] -7.3611886 -7.2663903 -6.8345802 -8.2566052 -8.7879777
## [86] -7.3324063 -6.5433508 -6.4227113 -6.6292153Pfilter real data with 1000 particles
ptm <- proc.time()
pfilter_real_output = pfilter(data = Observed_data,
seed = 12345,
times = Observed_data$times,
t0 = t0,
rprocess = pomp::euler(rproc,delta.t = 1),
params = param_vec,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
covar = covar,
partrans = par_trans,
format = "data.frame",
Np = 1000,
save.state = TRUE,
filter.mean = TRUE,
pred.mean = TRUE,
pred.var = TRUE)## in 'pomp': the unrecognized arguments 'seed','rmeas','format' are available for use by the POMP basic components.## Warning: in 'pfilter': the 'tol' argument is deprecated and will be removed in a future release.
## Currently, the default value of 'tol' is 1e-17;
## in future releases, the value will be 0, and the option to choose otherwise will be removed.proc.time() - ptm## user system elapsed
## 3.259 0.459 3.885#plot(pfilter_real_output)
logLik(pfilter_real_output)## [1] -660.5064eff.sample.size(pfilter_real_output)## [1] 1000.00000 1000.00000 860.92542 863.45776 915.96111 30.93751
## [7] 316.99782 917.37446 868.55351 332.46667 987.16497 954.44809
## [13] 772.74552 949.50876 919.78600 974.25262 998.49445 999.59636
## [19] 987.42300 998.51550 994.68143 999.29812 999.79375 999.79455
## [25] 999.32026 999.42313 999.56793 996.70551 999.28306 993.83627
## [31] 999.49833 999.97361 999.97305 996.88538 999.09625 999.82300
## [37] 999.77882 997.91560 995.29054 986.39273 996.26182 999.48612
## [43] 999.95848 906.58743 990.60902 996.69726 998.27260 999.85539
## [49] 994.01309 996.78067 999.88253 996.89743 960.20492 951.03314
## [55] 996.53696 998.08286 992.67562 999.88482 998.21348 999.81296
## [61] 994.67723 999.06676 981.49319 976.49898 990.50070 999.87464
## [67] 995.84971 995.88743 981.48250 970.00104 949.71060 985.21381
## [73] 995.33729 990.79603 996.22561 983.88994 945.27856 936.81024
## [79] 961.56192 998.05562 974.08867 974.21555 985.24328 946.49864
## [85] 944.99298 967.24772 997.53953 999.77032 988.76079cond.logLik(pfilter_real_output)## [1] -0.0996888 -0.0996888 -1.6760813 -1.6724261 -2.3877219
## [6] -6.7907993 -5.0902432 -2.7633277 -3.4109779 -7.2673344
## [11] -3.6394388 -4.5542859 -13.5775754 -5.8123581 -9.1494529
## [16] -6.9193216 -6.7250214 -7.1513546 -10.9484879 -7.5586920
## [21] -8.0289867 -7.4746149 -7.5526405 -7.7335059 -7.9017294
## [26] -7.9881316 -7.8950431 -8.2469473 -8.5131910 -8.6689200
## [31] -8.3347405 -8.1403551 -8.2668725 -8.4399791 -8.1101143
## [36] -8.0179737 -8.0683536 -8.3361514 -8.6089833 -9.4746306
## [41] -8.4119982 -7.7755358 -7.7624612 -14.3744100 -8.8009931
## [46] -8.1668824 -7.9734441 -7.6182717 -7.9659527 -7.6970804
## [51] -7.5929435 -7.8941533 -10.2198897 -10.5934509 -7.8262982
## [56] -7.4218826 -7.7403670 -7.3760737 -7.5205076 -7.2576689
## [61] -7.7035467 -7.1955095 -8.1855882 -8.3720354 -7.4389648
## [66] -7.0825096 -7.1159313 -7.0979271 -7.8757229 -8.6401019
## [71] -9.7643545 -7.3990748 -6.9367091 -7.3654671 -6.8487983
## [76] -7.2972119 -9.5681447 -9.8504042 -8.2006024 -6.6461958
## [81] -7.3229242 -7.2944366 -6.8373977 -8.1846831 -8.3598605
## [86] -7.3051242 -6.6005761 -6.4123142 -6.5179165Pfilter real data with 1000 particles
ptm <- proc.time()
pfilter_real_output = pfilter(data = Observed_data,
seed = 12345,
times = Observed_data$times,
t0 = t0,
rprocess = pomp::euler(rproc,delta.t = 1),
params = param_vec,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
covar = covar,
partrans = par_trans,
format = "data.frame",
Np = 1000,
save.state = TRUE,
filter.mean = TRUE,
pred.mean = TRUE,
pred.var = TRUE)## in 'pomp': the unrecognized arguments 'seed','rmeas','format' are available for use by the POMP basic components.## Warning: in 'pfilter': the 'tol' argument is deprecated and will be removed in a future release.
## Currently, the default value of 'tol' is 1e-17;
## in future releases, the value will be 0, and the option to choose otherwise will be removed.proc.time() - ptm## user system elapsed
## 2.793 0.518 3.453#plot(pfilter_real_output)
logLik(pfilter_real_output)## [1] -660.0569eff.sample.size(pfilter_real_output)## [1] 1000.0000 1000.0000 872.6099 866.6211 906.8266 11.7114 235.5257
## [8] 889.4243 928.8694 321.8223 988.5628 963.2932 800.0830 941.3467
## [15] 902.5455 972.0921 998.4980 999.5302 981.3649 998.4477 994.7369
## [22] 999.2583 999.7937 999.7998 999.4203 999.4341 999.5663 997.0916
## [29] 999.2276 993.8485 999.4290 999.9740 999.9615 997.1057 999.1800
## [36] 999.8324 999.7893 997.9287 995.6525 986.6337 995.9539 999.4325
## [43] 999.9557 910.2386 990.3422 996.6242 998.1279 999.8340 993.2631
## [50] 996.7031 999.8843 997.4233 961.7734 956.7996 996.7989 997.5751
## [57] 992.1167 999.8980 998.2979 999.8296 994.9247 999.0325 981.3334
## [64] 978.4437 991.5570 999.8771 996.3608 995.9235 979.6567 968.4101
## [71] 952.9436 984.9676 995.1272 991.5863 996.0500 983.5628 943.7276
## [78] 932.6406 958.8601 998.1263 975.8021 973.1041 985.3507 952.4135
## [85] 944.7577 967.9395 997.4632 999.7564 989.8627cond.logLik(pfilter_real_output)## [1] -0.0996888 -0.0996888 -1.6543732 -1.6705225 -2.4045615
## [6] -6.6925808 -5.0715691 -2.8065531 -3.3290454 -7.1221765
## [11] -3.6365864 -4.5903644 -13.5579525 -5.8316057 -9.1288159
## [16] -6.9230583 -6.7283026 -7.1535868 -10.9027118 -7.5685200
## [21] -8.0228460 -7.4770465 -7.5533880 -7.7320403 -7.9006101
## [26] -7.9873691 -7.8964955 -8.2515451 -8.5146459 -8.6755981
## [31] -8.3345206 -8.1403819 -8.2673316 -8.4471385 -8.1122005
## [36] -8.0192492 -8.0677507 -8.3332880 -8.5981039 -9.4634489
## [41] -8.4089934 -7.7775014 -7.7632784 -14.3259257 -8.7888778
## [46] -8.1640544 -7.9704041 -7.6194947 -7.9714634 -7.7030284
## [51] -7.5926868 -7.8895468 -10.2094983 -10.5612888 -7.8195638
## [56] -7.4240997 -7.7423946 -7.3746939 -7.5173282 -7.2574549
## [61] -7.7027731 -7.1969621 -8.1872209 -8.3975677 -7.4377201
## [66] -7.0825109 -7.1164065 -7.1034661 -7.8760575 -8.6480277
## [71] -9.7642078 -7.4059701 -6.9354149 -7.3607104 -6.8495455
## [76] -7.2860066 -9.5473900 -9.8497125 -8.2013540 -6.6472937
## [81] -7.3104429 -7.2955907 -6.8369304 -8.1775331 -8.3583426
## [86] -7.3057191 -6.6019621 -6.4124372 -6.5128169Analysis
filter_mean_mat = pfilter_real_output@filter.mean
filter_mean_df = filter_mean_mat%>%
t() %>%
as.data.frame()
#head(filter_mean_df)
filter_mean_df$times = filter_mean_mat %>%
colnames() %>% as.numeric()
Y_sum_filter_mean = filter_mean_df %>%
dplyr::select(times, Y_sum)
pred_var_df = pfilter_real_output@pred.var %>%
t() %>%
as.data.frame()
pred_var_df$times = filter_mean_mat %>%
colnames() %>% as.numeric()
Y_sum_pred_var = pred_var_df %>%
dplyr::select(times, Y_sum_var = Y_sum)
Y_sum_filter_mean_vs_obs = join(Y_sum_filter_mean, Observed_data)## Joining by: timesY_sum_filter_mean_vs_obs = join(Y_sum_filter_mean_vs_obs, Y_sum_pred_var)## Joining by: timessize= (1/sigma_M/sigma_M)
Y_sum_filter_mean_vs_obs$Neg_binom_lik = dnbinom(Y_sum_filter_mean_vs_obs$Y, mu = Y_sum_filter_mean_vs_obs$Y_sum, size = size,
log = TRUE)
plot_data = Y_sum_filter_mean_vs_obs %>%
dplyr::select(times, Y_sum_filter_mean = Y_sum, Y) %>%
melt(id.vars = "times")
p = ggplot(data = plot_data, aes(x = times, y = log(value), color = variable)) + geom_point() +
geom_line() + rahul_theme
p
MIF to simulated data (Validation)
No truncation
mif_sim_data = pfilter_sim_data
mif_sim_file_name = paste0("../Generated_Data/MIF_local_test_results/mif_sim_test_data_", model_name, "_COVID_NYC.RData")
save(mif_sim_data,
file = mif_sim_file_name)##Plot simulated trajectory to be used for fitting
p = ggplot(data = mif_sim_data,(aes(x = time, y = Y))) + geom_point() + geom_line() + rahul_theme + xlab("Days since March 1, 2020")
p
Load parallelization libraries
library(foreach)
library(doParallel)
registerDoParallel()Run pfilter repeatedly (test paralell structure)
library(doRNG)## Loading required package: foreach## Warning: package 'foreach' was built under R version 3.5.2##
## Attaching package: 'foreach'## The following objects are masked from 'package:purrr':
##
## accumulate, when## Loading required package: rngtools## Loading required package: pkgmaker## Loading required package: registry## Warning: package 'registry' was built under R version 3.5.2##
## Attaching package: 'pkgmaker'## The following object is masked from 'package:base':
##
## isFALSEregisterDoRNG(123456)## Warning: executing %dopar% sequentially: no parallel backend registeredptm <- proc.time()
rds_index = rds_index + 1
rds_file_name = paste0("Stew_Files/", model_name, "_", "rds_", rds_index, ".rds")
bake(file = rds_file_name,{
foreach(i=1:10, .packages = 'pomp',
.export = c("rproc", "rmeas", "dmeas", "init", "paramnames", "statenames", "obsnames",
"param_vec", "par_trans", "acumvarnames")
) %dopar% {
pfilter(data = mif_sim_data,
times = mif_sim_data$time,
t0 = t0,
rprocess = pomp::euler(rproc,delta.t = 1),
params = param_vec,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
partrans = par_trans,
format = "data.frame",
covar = covar,
Np = 1000)
}
}) ->pfilter_sim_par_output
proc.time() - ptm## user system elapsed
## 0.035 0.002 0.038(L_pfilter_sim_par_output <- logmeanexp(sapply(pfilter_sim_par_output, logLik), se = TRUE))## se
## -634.5910408 0.0225914Store results of pfilter run in likelihood csv file
results <- as.data.frame(as.list(c(coef(pfilter_sim_par_output[[1]]), logLik = L_pfilter_sim_par_output[1],
loglik = L_pfilter_sim_par_output[2])))
results
result_output_file = paste0("covid_NYC_", model_name, "_sim_data_fit_params.csv")
write.csv(results, file = result_output_file, row.names = FALSE)MIF Debug Test
One mif run, one particle
test_1_mif = mif2(
data = mif_sim_data,
times = mif_sim_data$time,
t0 = t0,
seed = 12345,
rprocess = pomp::euler(rproc,delta.t = 1),
params = param_vec,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
partrans = par_trans,
start = param_vec,
covar = covar,
Np = 1,
Nmif = 1,
tol = 0,
cooling.fraction.50 = 0.5,
rw.sd = rw.sd(phi_E = 0,
phi_U = 0,
phi_S = 0,
h_V = 0,
p_S = 0.02,
p_H_cond_S = 0.02,
gamma = 0.02,
social_distancing_start_time = 0,
quarantine_start_time = 0,
z_0 = ivp(0),
E_0 = ivp(0.02),
N_0 = ivp(0),
C_0 = ivp(0),
PCR_sens = 0,
b_q = 0.02,
b_a = 0,
b_p = 0.02,
R_0 = 0.02,
sigma_M = 0.02,
beta_w_3 = 0,
beta_w_2 = 0,
beta_w_1 = 0,
beta_w_0 = 0,
g_0 = 0,
g_F = 0,
sigma_epsilon = 0,
G_w_y_scaling = 0))rds_index = rds_index + 1
mif_50_rds_file_name = paste0("Stew_Files/", model_name, "_", "rds_", rds_index, ".rds")
bake(file = mif_50_rds_file_name,{
mif2(data = mif_sim_data,
times = mif_sim_data$time,
t0 = t0,
seed = 12345,
rprocess = pomp::euler(rproc,delta.t = 1),
params = param_vec,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
partrans = par_trans,
start = param_vec,
covar = covar,
Np = 2000,
Nmif = 50,
tol = 0,
cooling.fraction.50 = 0.5,
rw.sd = rw.sd(phi_E = 0,
phi_U = 0,
b_p = 0.02,
phi_S = 0,
h_V = 0,
p_S = 0.02,
p_H_cond_S = 0.02,
gamma = 0.02,
social_distancing_start_time = 0,
quarantine_start_time = 0,
z_0 = ivp(0),
E_0 = ivp(0.02),
N_0 = ivp(0),
C_0 = ivp(0),
PCR_sens = 0,
b_q = 0.02,
b_a = 0,
R_0 = 0.02,
sigma_M = 0.02,
beta_w_3 = 0,
beta_w_2 = 0,
beta_w_1 = 0,
beta_w_0 = 0,
g_0 = 0,
g_F = 0,
sigma_epsilon = 0,
G_w_y_scaling = 0)
)}) ->test_mif
test_mif@eff.sample.size## [1] 2000.000 2000.000 1672.269 1655.275 1765.326 1343.013 1478.452
## [8] 1679.874 1893.331 1830.731 1343.115 1954.870 1900.005 1950.851
## [15] 1982.888 1983.271 1940.581 1903.192 1890.288 1843.842 1972.358
## [22] 1420.622 1944.375 1713.325 1836.609 1888.541 1941.844 1938.557
## [29] 1893.365 1915.492 1984.431 1883.113 1591.026 1907.177 1945.900
## [36] 1984.944 1052.767 1939.495 1981.467 1977.352 1972.200 1669.041
## [43] 1842.137 1946.756 1976.211 1959.454 1790.085 1470.185 1861.254
## [50] 1950.758 1979.828 1959.188 1895.721 1931.883 1652.172 1832.251
## [57] 1929.855 1976.820 1949.804 1801.122 1933.835 1969.213 1797.919
## [64] 1883.722 1662.749 1416.915 1853.671 1539.339 1820.003 1657.623
## [71] 1938.808 1933.266 1909.995 1849.177 1984.017 1707.655 1936.007
## [78] 1755.251 1889.972 1953.790 1966.650 1877.812 1781.914 1789.327
## [85] 1911.600 1545.267 1811.514 1969.100 1912.241Local MIF Search (Validation)
ptm = proc.time()
registerDoRNG(123456)
rds_index = rds_index + 1
parallel_mif_50_run_rds_file_name = paste0("Stew_Files/", model_name, "_", "rds_", rds_index, ".rds")
bake(file = parallel_mif_50_run_rds_file_name,{
foreach(i=1:5,
.packages = 'pomp',
.combine = c,
.export = c("rproc", "rmeas", "dmeas", "mif_sim_data", "init", "paramnames", "statenames", "obsnames",
"param_vec","par_trans", "acumvarnames")
) %dopar%
{
mif2(
data = mif_sim_data,
times = mif_sim_data$time,
t0 = t0,
rprocess = pomp::euler(rproc,delta.t = 1),
params = param_vec,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
partrans = par_trans,
start = param_vec,
covar = covar,
Np = 2000,
Nmif = 50,
cooling.fraction.50 = 0.5,
rw.sd = rw.sd(phi_E = 0,
phi_U = 0,
b_p = 0.02,
phi_S = 0,
h_V = 0,
p_S = 0.02,
p_H_cond_S = 0.02,
gamma = 0.02,
social_distancing_start_time = 0,
quarantine_start_time = 0,
z_0 = ivp(0),
E_0 = ivp(0.02),
N_0 = ivp(0),
C_0 = ivp(0),
PCR_sens = 0,
b_q = 0.02,
b_a = 0,
R_0 = 0.02,
sigma_M = 0.02,
beta_w_3 = 0,
beta_w_2 = 0,
beta_w_1 = 0,
beta_w_0 = 0,
g_0 = 0,
g_F = 0,
sigma_epsilon = 0,
G_w_y_scaling = 0)
)
}
}) -> mifs_sim_data_local
mif_sim_local_output_file = paste0("../Generated_Data/MIF_local_test_results/", model_name, "_validation_5_mif_iterations_output.RData")
save(mifs_sim_data_local, file = mif_sim_local_output_file)
p = ggplot(data = melt(conv.rec(mifs_sim_data_local)),
aes(x = iteration, y = value, group = L1, color = factor(L1))) +
geom_line()+
guides(color=FALSE)+
facet_wrap(~variable, scales="free_y") + theme_bw()## Warning: 'conv.rec' is deprecated and will be removed in a forthcoming
## release. Please use 'traces' instead.p
mif_par_sim_fit_50_plot_file = paste0("../Figures/MIF_local_test_results/", model_name,
"_test_mif_convergence_dem_stoch_plot_5_runs_50_iterations_from_sim_data_truth.png")
png(mif_par_sim_fit_50_plot_file)
print(p)
dev.off()## quartz_off_screen
## 2param_list = list()
pfilter_end_mean_list = vector(length = length(mifs_sim_data_local))
pfilter_end_se_list = vector(length = length(mifs_sim_data_local))
for(run_index in seq(1:length(mifs_sim_data_local))){
print(run_index)
single_mif_run_output = mifs_sim_data_local[[run_index]]
param_list[[run_index]] = single_mif_run_output@params
mif_test_end_par = param_list[[run_index]]
#Get Final Pfilter Likelihood
registerDoRNG(123456)
ptm <- proc.time()
rds_index = rds_index + 1
bake(file = paste0("Stew_Files/", model_name, "_", "rds_", rds_index, ".rds"),{
foreach(i=1:10, .packages = 'pomp',
.export = c("rproc", "rmeas", "dmeas", "mif_sim_data", "init", "paramnames", "statenames", "obsnames",
"mif_test_end_par", "par_trans", "acumvarnames")
) %dopar% {
pfilter(data = mif_sim_data,
times = mif_sim_data$time,
t0 = t0,
rprocess = pomp::euler(rproc,delta.t = 1),
params = mif_test_end_par,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
covar = covar,
partrans = par_trans,
format = "data.frame",
Np = 1000)
}
}) ->pfilter_sim_at_mif_end
proc.time() - ptm
pfilter_sim_at_mif_end <- logmeanexp(sapply(pfilter_sim_at_mif_end, logLik), se = TRUE)
pfilter_end_mean_list[run_index] = pfilter_sim_at_mif_end[[1]]
pfilter_end_se_list[run_index] = pfilter_sim_at_mif_end[[2]]
}## [1] 1
## [1] 2
## [1] 3
## [1] 4
## [1] 5#Get Pfilter Likelihood at Start
#registerDoRNG(123456)
ptm <- proc.time()
rds_index = rds_index + 1
pf_start_mif_sim_test_rds_file_name = paste0("Stew_Files/", model_name, "_", "rds_", rds_index, ".rds")
bake(file = pf_start_mif_sim_test_rds_file_name,{
foreach(i=1:10, .packages = 'pomp',
.export = c("rproc", "rmeas", "dmeas", "mif_sim_data", "init", "paramnames", "statenames", "obsnames",
"param_vec", "par_trans", "acumvarnames")
) %dopar% {
pfilter(data = mif_sim_data,
times = mif_sim_data$time,
t0 = t0,
rprocess = pomp::euler(rproc,delta.t = 1),
params = param_vec,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
covar = covar,
partrans = par_trans,
format = "data.frame",
Np = 1000)
}
}) ->pfilter_sim_at_mif_start
proc.time() - ptm## user system elapsed
## 0.136 0.004 0.142L_pfilter_sim_at_mif_start <- logmeanexp(sapply(pfilter_sim_at_mif_start, logLik), se = TRUE)
L_pfilter_sim_at_mif_start## se
## -634.59484667 0.02017609true_sim_mean = L_pfilter_sim_at_mif_start[[1]]
true_sim_se = L_pfilter_sim_at_mif_start[[2]]
pfilter_5_mif_data_analysis_value_storage = list(end_mean = pfilter_end_mean_list, end_se = pfilter_end_se_list, start_mean = true_sim_mean,
start_se = true_sim_se)
pfilter_5_mif_storage_file_name = paste0("../Generated_Data/MIF_local_test_results/", model_name,
"_validation_5_mif_iterations_pfitler_likelihood_ranges.RData")
save(pfilter_5_mif_data_analysis_value_storage,
file = pfilter_5_mif_storage_file_name)
plot_data = data.frame(iterations = seq(1:length(mifs_sim_data_local)), pfilter_end_mean = pfilter_end_mean_list,
pfilter_end_se = pfilter_end_se_list)
p = ggplot(data = plot_data, aes(x = iterations, y = pfilter_end_mean)) +
geom_errorbar(aes(ymin = pfilter_end_mean - pfilter_end_se,
ymax = pfilter_end_mean + pfilter_end_se)) + geom_hline(yintercept = true_sim_mean,
color = 'red')+
geom_hline(yintercept = true_sim_mean - true_sim_se, color = 'blue') +
geom_hline(yintercept = true_sim_mean + true_sim_se, color = 'blue')
p
mif_5_run_plot_file_name = paste0("../Figures/MIF_local_test_results/", model_name,
"_validation_plot_pfilter_ranges_for_5_mif_runs_of_50_iterations_blue_and_red_lines_are_pfilter_start_ranges.png")
png(mif_5_run_plot_file_name)
print(p)
dev.off()## quartz_off_screen
## 2mifs_sim_data_local[[5]]@params## M_0 V_0
## 5.000000e+00 1.300000e+01
## K_0 phi_E
## 1.400000e+01 1.090000e+00
## phi_U phi_S
## 1.090000e+00 2.000000e-01
## h_V p_S
## 7.692308e-02 9.097243e-01
## p_H_cond_S gamma
## 2.897511e-01 5.297658e-01
## quarantine_start_time social_distancing_start_time
## 2.200000e+01 1.800000e+01
## PCR_sens b_q
## 9.000000e-01 1.890128e-01
## b_a b_p
## 0.000000e+00 1.000000e+00
## R_0 E_0
## 2.796794e+00 1.398361e+04
## z_0 N_0
## 2.200000e+03 8.000000e+06
## C_0 sigma_M
## 0.000000e+00 2.730013e-01
## beta_w_3 beta_w_2
## 1.215073e-02 9.810086e-01
## beta_w_1 beta_w_0
## -3.723481e+01 2.294094e+02
## g_0 g_F
## 1.183300e+03 1.162005e-01
## sigma_epsilon G_w_y_scaling
## 1.091121e+02 1.620000e-01proc.time() - ptm## user system elapsed
## 0.806 0.056 0.931p = ggplot(data = melt(conv.rec(test_mif)),
aes(x = iteration, y = value, group = variable, color = factor(variable))) +
geom_line()+
guides(color=FALSE)+
facet_wrap(~variable, scales="free_y") + theme_bw()## Warning: 'conv.rec' is deprecated and will be removed in a forthcoming
## release. Please use 'traces' instead.p## Warning: Removed 2 rows containing missing values (geom_path).
test_mif_local_sim_results_plot_file_name = paste0("../Figures/MIF_local_test_results/", model_name,
"_test_mif_local_run_from_sim_data_true_parameters.png")
png(test_mif_local_sim_results_plot_file_name)
print(p)## Warning: Removed 2 rows containing missing values (geom_path).dev.off()## quartz_off_screen
## 2Get Final Pfilter Likelihood
registerDoRNG(123456)
ptm <- proc.time()
rds_index = rds_index + 1
pfilter_local_mif_test_end_rds_file_name = paste0("Stew_Files/", model_name, "_", "rds_", rds_index, ".rds")
bake(file = pfilter_local_mif_test_end_rds_file_name,{
foreach(i=1:10, .packages = 'pomp',
.export = c("rproc", "rmeas", "dmeas", "mif_sim_data", "init", "paramnames", "statenames", "obsnames",
"mif_test_end_par", "par_trans", "acumvarnames")
) %dopar% {
pfilter(data = mif_sim_data,
times = mif_sim_data$time,
t0 = t0,
rprocess = pomp::euler(rproc,delta.t =1),
params = mif_test_end_par,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
partrans = par_trans,
covar = covar,
tol = 0,
format = "data.frame",
Np = 1000)
}
}) ->pfilter_sim_at_mif_end
proc.time() - ptm## user system elapsed
## 0.028 0.002 0.030(L_pfilter_sim_at_mif_end <- logmeanexp(sapply(pfilter_sim_at_mif_end, logLik), se = TRUE))## se
## -635.53545433 0.03073157Plot MIF results
Really long single MIF run
One mif run, 2000 particles, 100 iterations
ptm = proc.time()
rds_index = rds_index + 1
mif_100_iteration_run_rds_file_name = paste0("Stew_Files/", model_name, "_", "rds_", rds_index, ".rds")
bake(file = mif_100_iteration_run_rds_file_name,{
mif2(
data = mif_sim_data,
times = mif_sim_data$time,
t0 = t0,
seed = 12345,
rprocess = pomp::euler(rproc,delta.t = 1),
params = param_vec,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
covar = covar,
partrans = par_trans,
tol = 0,
start = param_vec,
Np = 2000,
Nmif = 100,
cooling.fraction.50 = 0.5,
rw.sd = rw.sd(phi_E = 0,
phi_U = 0,
b_p = 0.02,
phi_S = 0,
h_V = 0,
p_S = 0.02,
p_H_cond_S = 0.02,
gamma = 0.02,
social_distancing_start_time = 0,
quarantine_start_time = 0,
z_0 = ivp(0),
E_0 = ivp(0.02),
N_0 = ivp(0),
C_0 = ivp(0),
PCR_sens = 0,
b_q = 0.02,
b_a = 0,
R_0 = 0.02,
sigma_M = 0.02,
beta_w_3 = 0,
beta_w_2 = 0,
beta_w_1 = 0,
beta_w_0 = 0,
g_0 = 0,
g_F = 0,
sigma_epsilon = 0,
G_w_y_scaling = 0)
)
}) -> long_mif_output
proc.time() - ptm## user system elapsed
## 0.014 0.001 0.017long_mif_output@eff.sample.size## [1] 2000.000 2000.000 1658.657 1667.174 1776.289 1421.188 1500.460
## [8] 1701.598 1900.442 1855.505 1381.408 1969.316 1924.394 1962.530
## [15] 1990.634 1991.666 1971.886 1940.407 1976.962 1985.419 1985.849
## [22] 1749.264 1973.103 1836.986 1934.591 1951.267 1968.905 1959.746
## [29] 1953.033 1958.131 1991.390 1935.318 1758.471 1956.837 1973.474
## [36] 1987.974 1308.706 1972.157 1983.355 1979.247 1987.817 1743.586
## [43] 1931.404 1978.923 1979.381 1962.988 1840.955 1688.561 1927.583
## [50] 1959.504 1986.927 1967.478 1946.485 1950.287 1773.416 1879.776
## [57] 1948.574 1988.262 1965.394 1869.329 1956.361 1984.840 1872.509
## [64] 1928.657 1757.003 1497.920 1856.990 1696.162 1820.191 1655.550
## [71] 1926.547 1918.902 1892.090 1811.345 1986.098 1811.710 1920.512
## [78] 1850.269 1940.755 1979.722 1985.686 1931.738 1852.036 1843.168
## [85] 1934.270 1627.991 1807.298 1971.030 1913.147a = melt(conv.rec(long_mif_output))## Warning: 'conv.rec' is deprecated and will be removed in a forthcoming
## release. Please use 'traces' instead.p = ggplot(data = melt(conv.rec(long_mif_output)),
aes(x = iteration, y = value, group = variable, color = factor(variable))) +
geom_line()+
guides(color=FALSE)+
facet_wrap(~variable, scales="free_y") + theme_bw()## Warning: 'conv.rec' is deprecated and will be removed in a forthcoming
## release. Please use 'traces' instead.p## Warning: Removed 2 rows containing missing values (geom_path).
mif_100_run_plot_file_name = paste0("../Figures/MIF_local_test_results/",
model_name,
"_test_mif_convergence_dem_stoch_plot_1_run_100_iterations_from_sim_data_truth.png")
png(mif_100_run_plot_file_name)
print(p)## Warning: Removed 2 rows containing missing values (geom_path).dev.off()## quartz_off_screen
## 2#Test pfilter likelihood at end of this simulation
mif_long_test_end_par = long_mif_output@params
registerDoRNG(123456)
ptm <- proc.time()
rds_index = rds_index + 1
pfilter_mif_sim_100_iteration_end_rds_file_name = paste0("Stew_Files/", model_name, "_", "rds_", rds_index, ".rds")
bake(file = pfilter_mif_sim_100_iteration_end_rds_file_name,{
foreach(i=1:10, .packages = 'pomp',
.export = c("rproc", "rmeas", "dmeas", "mif_sim_data", "init", "paramnames", "statenames", "obsnames",
"mif_long_test_end_par", "par_trans", "acumvarnames")
) %dopar% {
pfilter(data = mif_sim_data,
times = mif_sim_data$time,
t0 = t0,
rprocess = pomp::euler(rproc,delta.t = 1),
params = mif_long_test_end_par,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
tol = 0,
rmeas = rmeas,
covar = covar,
partrans = par_trans,
format = "data.frame",
Np = 1000)
}
}) ->pfilter_sim_at_long_mif_end
proc.time() - ptm## user system elapsed
## 0.114 0.002 0.117(L_pfilter_sim_at_long_mif_end <- logmeanexp(sapply(pfilter_sim_at_long_mif_end, logLik), se = TRUE))## se
## -634.48228162 0.02216171L_pfilter_sim_at_long_mif_end## se
## -634.48228162 0.02216171Pfilter_LL_Mif_sim_100_runs_end_output_file_name = paste0("../Generated_Data/MIF_local_test_results/", model_name,
"_validation_pfilter_ranges_100_iteration_single_MIF_run.RData")
save(L_pfilter_sim_at_long_mif_end,
file = Pfilter_LL_Mif_sim_100_runs_end_output_file_name)
#-634.48228162 0.02216171
# This is not higher than the true sim mean of -634.59484667 (se 0.02017609 ), so did a longer run.2nd really long single MIF run
One mif run, 2000 particles, 200 iterations
ptm = proc.time()
rds_index = rds_index + 1
mif_sim_250_run_output_rds_file_name = paste0("Stew_Files/", model_name, "_", "rds_", rds_index, ".rds")
bake(file = mif_sim_250_run_output_rds_file_name,{
mif2(
data = mif_sim_data,
times = mif_sim_data$time,
t0 = t0,
seed = 23456,
rprocess = pomp::euler(rproc,delta.t = 1),
params = param_vec,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
covar = covar,
partrans = par_trans,
start = param_vec,
Np = 2000,
tol = 0,
Nmif = 250,
cooling.fraction.50 = 0.5,
rw.sd = rw.sd(phi_E = 0,
phi_U = 0,
b_p = 0.02,
phi_S = 0,
h_V = 0,
p_S = 0.02,
p_H_cond_S = 0.02,
gamma = 0.02,
social_distancing_start_time = 0,
quarantine_start_time = 0,
z_0 = ivp(0),
E_0 = ivp(0.02),
N_0 = ivp(0),
C_0 = ivp(0),
PCR_sens = 0,
b_q = 0.02,
b_a = 0,
R_0 = 0.02,
sigma_M = 0.02,
beta_w_3 = 0,
beta_w_2 = 0,
beta_w_1 = 0,
beta_w_0 = 0,
g_0 = 0,
g_F = 0,
sigma_epsilon = 0,
G_w_y_scaling = 0)
) }) -> long_mif_output_2
proc.time() - ptm## user system elapsed
## 0.011 0.001 0.013long_mif_output_2@eff.sample.size## [1] 2000.000 2000.000 1652.707 1657.081 1825.524 1466.311 1451.078
## [8] 1739.621 1938.373 1904.170 1380.220 1970.080 1934.482 1967.967
## [15] 1996.379 1998.742 1980.614 1972.238 1998.730 1996.256 1997.522
## [22] 1938.914 1995.719 1973.693 1989.573 1992.725 1995.175 1993.385
## [29] 1986.130 1997.685 1998.899 1989.275 1964.832 1996.224 1996.119
## [36] 1997.047 1872.057 1996.394 1996.811 1995.516 1998.737 1945.281
## [43] 1989.412 1997.680 1995.170 1990.411 1958.328 1940.573 1987.444
## [50] 1989.686 1997.280 1990.761 1992.303 1986.202 1951.586 1974.929
## [57] 1987.465 1998.409 1991.101 1959.258 1984.291 1998.468 1973.043
## [64] 1974.266 1937.570 1827.380 1946.674 1899.473 1936.995 1844.680
## [71] 1961.264 1953.455 1927.734 1873.165 1984.777 1944.266 1930.761
## [78] 1953.118 1985.652 1997.627 1997.598 1980.349 1945.574 1937.913
## [85] 1976.300 1840.455 1913.364 1992.527 1959.289a = melt(conv.rec(long_mif_output_2))## Warning: 'conv.rec' is deprecated and will be removed in a forthcoming
## release. Please use 'traces' instead.p = ggplot(data = melt(conv.rec(long_mif_output_2)),
aes(x = iteration, y = value, group = variable, color = factor(variable))) +
geom_line()+
guides(color=FALSE)+
facet_wrap(~variable, scales="free_y") + theme_bw()## Warning: 'conv.rec' is deprecated and will be removed in a forthcoming
## release. Please use 'traces' instead.p## Warning: Removed 2 rows containing missing values (geom_path).
MIF_sim_250_run_output_plot_file_name = paste0("../Figures/MIF_local_test_results/",
model_name, "_test_mif_convergence_dem_stoch_plot_1_run_200_iterations_from_sim_data_truth.png")
png(MIF_sim_250_run_output_plot_file_name)
print(p)## Warning: Removed 2 rows containing missing values (geom_path).dev.off()## quartz_off_screen
## 2#Test pfilter likelihood at end of this simulation
mif_long_test_end_par_2 = long_mif_output_2@params
registerDoRNG(234567)
ptm <- proc.time()
rds_index = rds_index + 1
pfilter_long_mif_sim_250_iterations_end_output_rds_file = paste0("Stew_Files/", model_name, "_", "rds_", rds_index, ".rds")
bake(file = pfilter_long_mif_sim_250_iterations_end_output_rds_file,{
foreach(i=1:10, .packages = 'pomp',
.export = c("rproc", "rmeas", "dmeas", "mif_sim_data", "init", "paramnames", "statenames", "obsnames", "covar",
"mif_long_test_end_par_2", "par_trans", "acumvarnames")
) %dopar% {
pfilter(data = mif_sim_data,
times = mif_sim_data$time,
t0 = t0,
rprocess = pomp::euler(rproc,delta.t = 1),
params = mif_long_test_end_par_2,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
tol = 0,
rmeas = rmeas,
covar = covar,
partrans = par_trans,
format = "data.frame",
Np = 1000)
}
}) ->pfilter_sim_at_long_mif_end_2
proc.time() - ptm## user system elapsed
## 0.136 0.003 0.141(L_pfilter_sim_at_long_mif_end_2 <- logmeanexp(sapply(pfilter_sim_at_long_mif_end_2, logLik), se = TRUE))## se
## -632.68104765 0.01661451pfilter_long_mif_sim_250_iterations_end_LL_file_name = paste0("../Generated_Data/MIF_local_test_results/", model_name, "_validation_pfilter_ranges_200_iteration_single_MIF_run.RData")
save(L_pfilter_sim_at_long_mif_end_2,
file = pfilter_long_mif_sim_250_iterations_end_LL_file_name)
#-632.68104765 0.01661451
# This is higher than true sim mean of -634.59484667 (se 0.02017609), so it seems to have worked (at least, this is enough to move on to a grid search using Midway).Analyze MIF Run 1
Combine output
Combine Midway output susbsets
Once all of the 250 array jobs submitted to Midway f have finished running on the cluster, the output from each of those 250 jobs is combined into one data frame with combinations and likelihoods for a particular profile. For ease of computation, we only include the top 100LL of parameter combinations within each array job.
Code for combining
# ---- combine_grid_search_output ----
# Header ------------------------------------------------------------------
## Name: combine_grid_search_output
## Author: Rahul Subramanian
## Description: Combine MIF real grid search output data into one big data frame
combine_grid_search_output = function(model_name){
ptm = proc.time()
#args = commandArgs(trailingOnly=TRUE)
###Load parameter list
pd = read.csv(
file = paste0(
"../Generated_Data/Profile_Combination_Lists/",
model_name,
"_Model/",
model_name,
"_param_grid.csv"
),
header = TRUE
)
mif_sim_combined_output_df = data.frame(
matrix(nrow = 0, ncol = ncol(pd) + 7)
)
colnames(mif_sim_combined_output_df) = c(colnames(pd), "LL")
colnames(mif_sim_combined_output_df) = c(colnames(pd),"msg", "iter_num", "param_index", "loglik", "nfail", "trace_num", "loglist.se")
midway_max_jobs = 500
jobs_done_so_far = 500
mif_sim_combined_output_with_traces_df = mif_sim_combined_output_df
for(param_index in seq(1:jobs_done_so_far)){
if(param_index %% 10 == 0){
print(param_index)
}
input_file_name = paste("../Generated_Data/Profiles/",
model_name,
"_Model/",
"Grid_Search_MIF_run_1/",
model_name,
"_Grid_Search_MIF_run_1_subset_",
param_index,
".RData",
sep = ""
)
if(file.exists(input_file_name) == TRUE){
load(file = input_file_name)
mif_output_df_single_subset = res
}else{
group_size = nrow(pd)/midway_max_jobs
start_index = (param_index-1)*group_size + 1
end_index = param_index*group_size
Num_mif_runs_per_start = 10
param_data_subset_act = pd[start_index:end_index,]
param_data_subset = param_data_subset_act[rep(seq_len(nrow(param_data_subset_act)), each = Num_mif_runs_per_start),]
#param_data_subset$seed = NA;
param_data_subset$msg = NA
param_data_subset$iter_num = NA
param_data_subset$param_index = NA
param_data_subset$nfail = NA
param_data_subset$trace_num = NA
param_data_subset$loglik = NA
param_data_subset$loglist.se = NA
mif_output_df_single_subset = param_data_subset
}
#head(mif_output_df_single_subset)
local_MLE = max(mif_output_df_single_subset$loglik, na.rm = TRUE)
subset_traces = mif_output_df_single_subset %>%
filter(iter_num == 3)
subset_data_no_traces =mif_output_df_single_subset %>%
filter(msg != "first_trace") %>%
filter(msg != "second_trace")
mif_sim_combined_output_with_traces_df =
rbind(mif_sim_combined_output_with_traces_df,subset_traces)
mif_sim_combined_output_df = rbind(mif_sim_combined_output_df, subset_data_no_traces)
}
output_file_name = paste0("../Generated_Data/Profiles/", model_name,"_Model/","Grid_Search_MIF_run_1/",
model_name, "_Grid_Search_MIF_run_1_combined_data_subset_including_traces_and_start.RData")
save(mif_sim_combined_output_with_traces_df, file = output_file_name)
output_file_name = paste0("../Generated_Data/Profiles/", model_name,"_Model/","Grid_Search_MIF_run_1/",
model_name, "_Grid_Search_MIF_run_1_combined_data.RData")
save(mif_sim_combined_output_df, file = output_file_name)
output_list = list(mif_sim_combined_output_df, mif_sim_combined_output_with_traces_df)
return(output_list)
}
combine_grid_search_output(model_name = model_name)## [1] 10
## [1] 20
## [1] 30
## [1] 40
## [1] 50
## [1] 60
## [1] 70
## [1] 80
## [1] 90
## [1] 100
## [1] 110
## [1] 120
## [1] 130
## [1] 140
## [1] 150
## [1] 160
## [1] 170
## [1] 180
## [1] 190
## [1] 200
## [1] 210
## [1] 220
## [1] 230
## [1] 240
## [1] 250
## [1] 260
## [1] 270
## [1] 280
## [1] 290
## [1] 300
## [1] 310
## [1] 320
## [1] 330
## [1] 340
## [1] 350
## [1] 360
## [1] 370
## [1] 380
## [1] 390
## [1] 400
## [1] 410
## [1] 420
## [1] 430
## [1] 440
## [1] 450
## [1] 460
## [1] 470
## [1] 480
## [1] 490
## [1] 500## [[1]]
## M_0 V_0 K_0 R_0 b_q b_a b_p p_S
## 1 5 13 14 4.6418464 4.672541e-01 0 1.964623e-01 6.050191e-01
## 2 5 13 14 3.8475142 1.403021e-01 0 5.538712e-01 7.392072e-01
## 3 5 13 14 6.0061019 4.982772e-01 0 9.604412e-01 9.978643e-01
## 4 5 13 14 2.5139319 1.545464e-01 0 9.549991e-01 9.950829e-01
## 5 5 13 14 4.8596623 9.844087e-01 0 8.180860e-02 6.998554e-01
## 6 5 13 14 2.1192063 2.605489e-01 0 7.577695e-02 8.377674e-01
## 7 5 13 14 4.7366279 6.930913e-01 0 7.609593e-01 1.027748e-01
## 8 5 13 14 5.9210245 1.768147e-01 0 7.291913e-01 3.260646e-01
## 9 5 13 14 7.6478983 6.508182e-01 0 2.057259e-01 7.198492e-01
## 10 5 13 14 6.0446328 1.491398e-01 0 5.032138e-01 4.149406e-01
## 11 5 13 14 3.9506429 8.111371e-01 0 5.429892e-01 7.748245e-01
## 12 5 13 14 3.9854091 1.585481e-01 0 9.138957e-01 5.625803e-01
## 13 5 13 14 3.5470928 1.436034e-01 0 9.494741e-01 9.740182e-01
## 14 5 13 14 2.6554212 1.789407e-01 0 9.638441e-01 7.876544e-01
## 15 5 13 14 6.0370288 5.997695e-01 0 6.647938e-01 1.698723e-02
## 16 5 13 14 3.6793125 1.538462e-01 0 8.966200e-01 6.523143e-01
## 17 5 13 14 2.1947423 6.453222e-01 0 7.720928e-01 9.570712e-01
## 18 5 13 14 5.5205663 1.713029e-01 0 7.948090e-01 3.496836e-01
## 19 5 13 14 7.4308700 7.272970e-01 0 1.707590e-01 6.384554e-01
## 20 5 13 14 3.1287462 3.791215e-01 0 4.064236e-01 7.527191e-01
## 21 5 13 14 3.3963678 8.923912e-01 0 5.558499e-01 3.833434e-01
## 22 5 13 14 187.9174146 8.811153e-02 0 6.687239e-03 7.268512e-02
## 23 5 13 14 3.9984770 4.520603e-01 0 7.449336e-01 1.325673e-01
## 24 5 13 14 3.1367268 1.327562e-01 0 8.943173e-01 9.542116e-01
## 25 5 13 14 6.8592904 7.349654e-02 0 5.678427e-01 1.284751e-01
## 26 5 13 14 4.7674784 1.719367e-01 0 9.268635e-01 3.972039e-01
## 27 5 13 14 3.2904683 4.641581e-01 0 6.462875e-02 9.206471e-01
## 28 5 13 14 4.0493823 1.527859e-01 0 9.093617e-01 5.781783e-01
## 29 5 13 14 4.4273857 1.762560e-02 0 9.065413e-01 4.297723e-01
## 30 5 13 14 3.9391775 1.643003e-01 0 9.441306e-01 5.391677e-01
## 31 5 13 14 3.3596177 5.961434e-01 0 6.017761e-01 5.335206e-01
## 32 5 13 14 3.1098610 1.594909e-01 0 4.704721e-01 8.361693e-01
## 33 5 13 14 4.4433150 2.284365e-01 0 8.509531e-01 8.083475e-01
## 34 5 13 14 2.7979603 1.726770e-01 0 8.673786e-01 7.945010e-01
## 35 5 13 14 2.3107714 9.162075e-02 0 4.326135e-01 8.337593e-01
## 36 5 13 14 3.2734015 1.557419e-01 0 8.869265e-01 7.301205e-01
## 37 5 13 14 7.2805222 5.432730e-01 0 6.820869e-01 5.879941e-01
## 38 5 13 14 4.9580439 1.714310e-01 0 8.810013e-01 3.859971e-01
## 39 5 13 14 4.8046235 6.995806e-01 0 4.909378e-01 3.230086e-01
## 40 5 13 14 4.2732561 1.524733e-01 0 7.749992e-01 5.783394e-01
## 41 5 13 14 2.4417940 1.764394e-01 0 8.360749e-01 3.742440e-01
## 42 5 13 14 3.0244540 1.396727e-01 0 9.286930e-01 9.223593e-01
## 43 5 13 14 4.1256025 8.531038e-01 0 7.386410e-01 9.120817e-01
## 44 5 13 14 3.3286536 1.716108e-01 0 9.667092e-01 6.170492e-01
## 45 5 13 14 6.2888177 4.427033e-01 0 9.418477e-02 4.171814e-01
## 46 5 13 14 25.2423218 2.293890e-02 0 1.310596e-01 9.749284e-01
## 47 5 13 14 4.3017833 6.413354e-01 0 2.651036e-01 4.037528e-01
## 48 5 13 14 8.3358781 1.215535e-01 0 6.828971e-02 4.396420e-01
## 49 5 13 14 6.3758453 2.052288e-01 0 2.712862e-01 3.025171e-02
## 50 5 13 14 4.7220080 1.810861e-01 0 9.328863e-01 3.896601e-01
## 51 5 13 14 4.6065253 9.900206e-01 0 6.443554e-01 8.657319e-01
## 52 5 13 14 9.7819380 9.984808e-01 0 8.498677e-01 2.218691e-01
## 53 5 13 14 6.2331367 4.836469e-01 0 2.768285e-01 6.705498e-01
## 54 5 13 14 6.8931885 1.381912e-01 0 2.876370e-01 4.404264e-01
## 55 5 13 14 6.0866205 8.564566e-01 0 2.002759e-01 4.099162e-01
## 56 5 13 14 196.2740761 8.320488e-02 0 1.013913e-02 7.027142e-02
## 57 5 13 14 4.2776321 5.953894e-01 0 8.886043e-01 6.693382e-01
## 58 5 13 14 4.7508319 1.815062e-01 0 9.856728e-01 3.671275e-01
## 59 5 13 14 2.4623567 8.944774e-01 0 6.604660e-01 1.264749e-02
## 60 5 13 14 135.4480655 9.413747e-02 0 4.890443e-02 7.363467e-02
## 61 5 13 14 4.9891456 4.886544e-01 0 2.348654e-01 2.137933e-01
## 62 5 13 14 4.3683197 1.048589e-01 0 1.127471e-01 9.582112e-01
## 63 5 13 14 7.3701465 2.513797e-01 0 1.772957e-01 5.616755e-01
## 64 5 13 14 5.4418424 1.438659e-01 0 5.401930e-01 4.851803e-01
## 65 5 13 14 3.8011500 3.785411e-01 0 1.295199e-02 4.275447e-02
## 66 5 13 14 6.3863344 1.075732e-01 0 1.557124e-02 6.448596e-01
## 67 5 13 14 7.5418845 6.806689e-01 0 1.483596e-01 2.101982e-01
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## 359 5 13 14 5.7607496 1.857967e-01 0 7.199976e-01 6.936673e-01
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## 405 5 13 14 2.8819403 2.377697e-01 0 8.715130e-01 6.139564e-02
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## 436 5 13 14 4.2258744 1.598682e-01 0 9.436127e-01 5.024757e-01
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## 438 5 13 14 3.3502180 1.378255e-01 0 7.243435e-01 8.311045e-01
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## 442 5 13 14 6.1430917 1.725276e-01 0 6.854723e-01 3.161325e-01
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## 444 5 13 14 4.2689334 1.240920e-01 0 3.451822e-01 7.855250e-01
## 445 5 13 14 2.7061297 4.433652e-01 0 1.156052e-01 9.168543e-01
## 446 5 13 14 3.6847268 1.281259e-01 0 2.968309e-02 9.305112e-01
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## 456 5 13 14 7.5729032 1.628827e-01 0 5.134177e-01 2.987687e-01
## 457 5 13 14 2.9733121 8.364219e-01 0 4.085351e-01 4.975752e-01
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## 459 5 13 14 4.1559906 3.127047e-01 0 4.026321e-01 3.313913e-01
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## 463 5 13 14 5.1913419 5.571441e-01 0 3.255919e-01 4.480712e-01
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## 465 5 13 14 3.4915274 3.302848e-02 0 9.432840e-01 6.639669e-01
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## 467 5 13 14 2.5843482 9.750396e-01 0 6.053363e-01 5.282888e-01
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## 470 5 13 14 3.1811452 1.681229e-01 0 7.791433e-01 7.020431e-01
## 471 5 13 14 6.5424049 4.980895e-01 0 2.888248e-01 2.886588e-01
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## 475 5 13 14 7.3788290 3.535195e-01 0 7.762646e-01 8.081357e-01
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## 477 5 13 14 7.0703650 4.464278e-01 0 1.908480e-01 7.553224e-01
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## 486 5 13 14 3.2478539 1.415756e-01 0 8.250158e-01 8.447906e-01
## 487 5 13 14 3.0925324 9.725192e-01 0 8.247597e-01 6.261200e-01
## 488 5 13 14 21.0432489 1.240464e-01 0 6.721583e-01 1.267163e-01
## 489 5 13 14 3.5109260 3.454219e-01 0 2.614110e-01 8.564872e-01
## 490 5 13 14 4.4191886 1.026838e-01 0 4.436597e-02 9.685643e-01
## 491 5 13 14 6.4374773 5.146272e-01 0 8.374300e-01 7.485197e-01
## 492 5 13 14 3.9758785 1.629467e-01 0 9.862495e-01 5.265472e-01
## 493 5 13 14 3.4650732 5.488005e-01 0 3.163179e-01 9.885949e-01
## 494 5 13 14 5.1287109 1.364715e-01 0 2.601681e-01 5.941366e-01
## 495 5 13 14 2.9371517 7.506903e-01 0 1.538798e-01 8.106518e-01
## 496 5 13 14 5.1089606 1.237519e-01 0 2.098243e-01 7.046597e-01
## 497 5 13 14 3.0466569 3.356404e-01 0 3.956218e-01 6.422724e-01
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## 499 5 13 14 7.7756862 5.769929e-01 0 5.753361e-01 2.374787e-01
## 500 5 13 14 15.8605485 1.672795e-01 0 8.689324e-01 9.599882e-02
## 501 5 13 14 5.5733169 6.569294e-01 0 3.134726e-01 6.198338e-01
## 502 5 13 14 4.8817212 1.677745e-01 0 8.166730e-01 4.180605e-01
## 503 5 13 14 6.8095061 5.709352e-01 0 9.919680e-01 4.526001e-01
## 504 5 13 14 4.7398793 1.801687e-01 0 9.910583e-01 3.621830e-01
## 505 5 13 14 4.8598564 7.779254e-01 0 4.699672e-01 7.322202e-02
## 506 5 13 14 199.4221161 7.744297e-02 0 1.168364e-02 7.227484e-02
## 507 5 13 14 3.0681806 5.522264e-01 0 4.037025e-01 6.938384e-01
## 508 5 13 14 3.1702038 1.616425e-01 0 8.477281e-01 7.064444e-01
## 509 5 13 14 4.2179070 5.212065e-01 0 2.611061e-01 9.733602e-02
## 510 5 13 14 25.8284203 1.380641e-01 0 5.829690e-01 9.374882e-02
## 511 5 13 14 5.3682629 1.220584e-01 0 8.022760e-01 2.872198e-01
## 512 5 13 14 4.1543419 1.043154e-01 0 2.002816e-01 9.779483e-01
## 513 5 13 14 6.2866533 1.987727e-01 0 6.460369e-01 4.180265e-01
## 514 5 13 14 14.0855509 3.189787e-02 0 4.748576e-02 9.774706e-01
## 515 5 13 14 3.8030201 7.200425e-01 0 8.823388e-03 1.377386e-01
## 516 5 13 14 6.1763974 1.187953e-01 0 1.489963e-02 6.081277e-01
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## 518 5 13 14 6.9658723 1.144788e-01 0 6.816021e-02 5.582324e-01
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## 961 5 13 14 6.9712716 5.991976e-01 0 4.015867e-02 7.628792e-01
## 962 5 13 14 4.5525678 1.317241e-01 0 2.197759e-01 7.260966e-01
## 963 5 13 14 2.7370183 1.434169e-01 0 2.384029e-01 7.534168e-01
## 964 5 13 14 11.7056076 1.146156e-01 0 2.447050e-02 3.443924e-01
## 965 5 13 14 4.7131950 6.743113e-01 0 6.096821e-01 3.948974e-01
## 966 5 13 14 5.5732098 1.975523e-01 0 9.514391e-01 2.756005e-01
## 967 5 13 14 7.2738635 4.014974e-01 0 8.424153e-01 3.286344e-01
## 968 5 13 14 5.7708250 2.024878e-01 0 9.212433e-01 2.485553e-01
## 969 5 13 14 6.5907599 1.262945e-01 0 2.035643e-01 5.307964e-01
## 970 5 13 14 3.1526910 1.346398e-01 0 7.992178e-01 9.064772e-01
## 971 5 13 14 2.6116991 3.494589e-01 0 5.811522e-01 1.920123e-01
## 972 5 13 14 4.0349123 1.142017e-01 0 1.321278e-01 9.575630e-01
## 973 5 13 14 2.6148936 7.580222e-01 0 9.950859e-01 3.106328e-01
## 974 5 13 14 15.5893925 1.183029e-01 0 9.992985e-01 1.357296e-01
## 975 5 13 14 5.2095941 7.540921e-01 0 1.431900e-01 2.852072e-01
## 976 5 13 14 12.6479347 1.275937e-01 0 2.555493e-02 2.959878e-01
## 977 5 13 14 2.7382459 4.980248e-01 0 5.894296e-01 6.578061e-01
## 978 5 13 14 4.5707339 1.410056e-01 0 4.662180e-01 6.173954e-01
## 979 5 13 14 6.8165556 1.937020e-01 0 4.542868e-01 2.972942e-01
## 980 5 13 14 5.2393303 1.856413e-01 0 9.213876e-01 3.334680e-01
## 981 5 13 14 6.5925243 1.169059e-01 0 2.236871e-01 3.840740e-01
## 982 5 13 14 4.0135381 1.474297e-01 0 8.129569e-01 6.241780e-01
## 983 5 13 14 7.9402082 4.045563e-03 0 6.945693e-01 1.734810e-01
## 984 5 13 14 3.9404906 1.563955e-01 0 9.404963e-01 5.799653e-01
## 985 5 13 14 2.3055703 4.512396e-01 0 9.199539e-01 9.097952e-01
## 986 5 13 14 2.9203908 1.379462e-01 0 9.365395e-01 9.489451e-01
## 987 5 13 14 5.7717368 5.117122e-01 0 9.205857e-01 6.004656e-01
## 988 5 13 14 3.8584976 1.571672e-01 0 9.570077e-01 5.680433e-01
## 989 5 13 14 4.7105899 2.822636e-01 0 6.961119e-01 2.051143e-01
## 990 5 13 14 5.0339730 1.864076e-01 0 9.742575e-01 3.227020e-01
## 991 5 13 14 5.8019471 5.914901e-01 0 6.673447e-01 9.521231e-01
## 992 5 13 14 6.1859028 1.953705e-01 0 8.781107e-01 2.523503e-01
## 993 5 13 14 2.3184057 5.042656e-02 0 4.998115e-01 8.480161e-02
## 994 5 13 14 5.4722996 1.642556e-01 0 7.700196e-01 3.843490e-01
## 995 5 13 14 2.1530163 6.033013e-01 0 6.893959e-01 6.739971e-01
## 996 5 13 14 3.7002960 1.676780e-01 0 9.247357e-01 5.498609e-01
## 997 5 13 14 6.4452585 1.195206e-01 0 8.389632e-01 7.771988e-01
## 998 5 13 14 4.0336155 1.653191e-01 0 9.369236e-01 5.298489e-01
## 999 5 13 14 4.8669244 4.826260e-01 0 7.419276e-01 1.252466e-01
## 1000 5 13 14 3.1145857 1.515017e-01 0 9.416215e-01 7.863276e-01
## 1001 5 13 14 5.6564710 8.764017e-01 0 4.517955e-01 1.285155e-01
## 1002 5 13 14 5.0016244 1.643227e-01 0 7.735361e-01 4.295985e-01
## 1003 5 13 14 2.6690459 5.959922e-01 0 4.912412e-01 3.203025e-01
## 1004 5 13 14 4.8108123 1.907285e-01 0 9.680790e-01 3.271847e-01
## 1005 5 13 14 5.1130464 6.326698e-01 0 3.617603e-01 3.411432e-01
## 1006 5 13 14 5.6657831 1.297140e-01 0 2.771711e-01 5.821415e-01
## 1007 5 13 14 5.4394621 5.470700e-01 0 7.859667e-01 4.629944e-01
## 1008 5 13 14 4.6403904 1.804841e-01 0 9.526350e-01 3.947190e-01
## 1009 5 13 14 3.5087063 3.235159e-01 0 4.655388e-01 3.823962e-01
## 1010 5 13 14 3.4272343 1.506215e-01 0 8.977739e-01 7.502417e-01
## 1011 5 13 14 2.7832832 2.641905e-01 0 5.869263e-01 1.931827e-01
## 1012 5 13 14 5.4393901 1.352290e-01 0 3.619044e-01 5.486097e-01
## 1013 5 13 14 5.1486335 5.422804e-02 0 5.942176e-01 2.766067e-01
## 1014 5 13 14 6.4826051 1.564115e-01 0 5.759446e-01 3.610121e-01
## 1015 5 13 14 4.1703298 6.002468e-01 0 7.520500e-01 5.439017e-01
## 1016 5 13 14 3.1575311 1.290866e-01 0 8.070578e-01 9.678876e-01
## 1017 5 13 14 7.7706070 8.611570e-02 0 1.976613e-01 4.417457e-01
## 1018 5 13 14 7.6963629 1.369232e-01 0 2.658481e-01 3.999147e-01
## 1019 5 13 14 4.3658340 2.774681e-01 0 5.808926e-01 4.987465e-01
## 1020 5 13 14 6.2416838 1.331420e-01 0 3.265897e-01 4.886090e-01
## 1021 5 13 14 3.0610742 3.009559e-01 0 3.011884e-01 7.018557e-01
## 1022 5 13 14 5.3286794 1.635888e-01 0 8.300534e-01 3.801332e-01
## 1023 5 13 14 5.1927487 1.704169e-01 0 7.499497e-01 7.083433e-01
## 1024 5 13 14 3.8721372 1.593125e-01 0 8.772830e-01 5.785683e-01
## 1025 5 13 14 5.2001020 5.374410e-01 0 3.208919e-01 1.980403e-01
## 1026 5 13 14 6.0372239 1.694700e-01 0 7.553977e-01 3.275722e-01
## 1027 5 13 14 7.3094003 2.443285e-01 0 8.353265e-01 2.255024e-01
## 1028 5 13 14 13.4118478 3.230037e-02 0 1.577786e-01 9.363940e-01
## 1029 5 13 14 4.1940957 8.879759e-01 0 5.180985e-01 9.330788e-01
## 1030 5 13 14 8.1229339 1.508237e-01 0 3.686267e-01 3.241649e-01
## 1031 5 13 14 6.4879445 2.217792e-01 0 8.525222e-01 4.691202e-01
## 1032 5 13 14 6.4584639 1.605413e-01 0 6.191638e-01 3.535077e-01
## 1033 5 13 14 7.1963700 3.096507e-01 0 1.261838e-02 1.023145e-01
## 1034 5 13 14 11.3028244 1.143104e-01 0 3.052822e-03 3.688395e-01
## 1035 5 13 14 7.6316129 7.270534e-01 0 7.849399e-01 6.064062e-01
## 1036 5 13 14 4.8521291 1.803724e-01 0 9.074009e-01 3.782937e-01
## 1037 5 13 14 7.6142239 9.382514e-01 0 3.948025e-01 6.784325e-01
## 1038 5 13 14 21.5702558 7.313031e-02 0 5.792553e-01 1.980899e-01
## 1039 5 13 14 6.4648915 5.496054e-01 0 1.589814e-01 9.667723e-01
## 1040 5 13 14 4.1534758 1.093690e-01 0 2.108736e-01 9.437560e-01
## 1041 5 13 14 3.2285700 8.788665e-01 0 2.620921e-01 3.792446e-01
## 1042 5 13 14 83.6413388 5.257004e-02 0 6.358268e-02 1.293776e-01
## 1043 5 13 14 7.3163401 5.202356e-01 0 5.367363e-01 5.808089e-02
## 1044 5 13 14 3.9025108 1.473421e-01 0 7.243962e-01 6.581690e-01
## 1045 5 13 14 7.1947958 4.397507e-01 0 6.808284e-01 2.703903e-01
## 1046 5 13 14 11.1134106 5.357433e-02 0 5.206919e-01 6.590554e-01
## 1047 5 13 14 4.5015771 4.885933e-01 0 1.971483e-01 9.041744e-01
## 1048 5 13 14 5.2791186 1.497361e-01 0 6.763826e-01 4.607972e-01
## 1049 5 13 14 7.9950935 1.602182e-01 0 8.564896e-01 9.093327e-01
## 1050 5 13 14 3.7262287 1.626777e-01 0 9.501131e-01 5.963461e-01
## 1051 5 13 14 6.5392013 7.535708e-02 0 1.607176e-01 9.318654e-01
## 1052 5 13 14 8.1778999 1.206009e-01 0 3.105526e-02 4.698616e-01
## 1053 5 13 14 6.3200786 1.164411e-01 0 1.960257e-01 4.997879e-01
## 1054 5 13 14 7.0152143 1.169477e-01 0 5.873379e-02 5.550753e-01
## 1055 5 13 14 4.1059597 9.165384e-01 0 4.403439e-01 6.204770e-02
## 1056 5 13 14 40.7692258 8.924668e-02 0 3.590742e-01 1.153668e-01
## 1057 5 13 14 7.2112014 2.546241e-01 0 2.620616e-01 7.624279e-01
## 1058 5 13 14 4.3308454 1.095015e-01 0 1.103335e-01 9.220660e-01
## 1059 5 13 14 7.2824378 6.780155e-01 0 7.417607e-02 5.331568e-01
## 1060 5 13 14 4.8496568 9.307832e-02 0 3.515120e-02 9.905254e-01
## 1061 5 13 14 4.7750238 4.628069e-01 0 5.996920e-01 9.630520e-02
## 1062 5 13 14 38.2451254 3.398580e-02 0 4.804937e-02 3.556412e-01
## 1063 5 13 14 2.7567894 2.234273e-02 0 7.061876e-03 4.128428e-01
## 1064 5 13 14 8.6145852 1.112856e-01 0 7.393127e-03 4.772385e-01
## 1065 5 13 14 2.0967639 1.118635e-01 0 4.718057e-01 5.210911e-01
## 1066 5 13 14 5.1218846 1.760760e-01 0 8.810799e-01 3.569634e-01
## 1067 5 13 14 3.1084404 5.587524e-01 0 4.907118e-01 1.664600e-01
## 1068 5 13 14 3.9712706 1.143689e-01 0 1.116862e-01 9.626399e-01
## 1069 5 13 14 5.3806461 5.022215e-01 0 8.489713e-01 8.415576e-01
## 1070 5 13 14 5.5547811 2.013143e-01 0 9.294119e-01 2.658623e-01
## 1071 5 13 14 7.2175342 4.796274e-01 0 8.576647e-01 3.143097e-01
## 1072 5 13 14 4.6330907 1.902297e-01 0 9.591398e-01 3.580710e-01
## 1073 5 13 14 5.8931428 8.120257e-01 0 1.493856e-01 1.213606e-01
## 1074 5 13 14 178.6822097 1.015857e-01 0 5.879144e-03 6.631931e-02
## 1075 5 13 14 2.6873632 2.456575e-01 0 6.077816e-01 9.257870e-01
## 1076 5 13 14 5.9313875 1.856414e-01 0 9.242257e-01 2.925217e-01
## 1077 5 13 14 3.7218151 3.442952e-01 0 2.950362e-01 1.892457e-01
## 1078 5 13 14 5.8687958 1.715913e-01 0 7.618839e-01 3.264530e-01
## 1079 5 13 14 4.8802834 3.368477e-01 0 6.102133e-01 6.614810e-01
## 1080 5 13 14 4.4310597 1.530835e-01 0 8.120213e-01 5.359477e-01
## 1081 5 13 14 4.7381305 5.594218e-01 0 8.974273e-01 6.523265e-01
## 1082 5 13 14 5.5316775 1.881520e-01 0 8.885286e-01 3.032332e-01
## 1083 5 13 14 7.4200134 9.692464e-01 0 5.524929e-01 6.182512e-01
## 1084 5 13 14 198.4724338 9.022056e-02 0 9.137332e-03 7.181787e-02
## 1085 5 13 14 3.9138318 8.861287e-01 0 6.226615e-01 5.029242e-01
## 1086 5 13 14 5.2910445 1.764660e-01 0 8.801949e-01 3.554756e-01
## 1087 5 13 14 4.4050672 2.282762e-01 0 4.280244e-01 9.639222e-01
## 1088 5 13 14 3.5389230 1.554926e-01 0 8.313676e-01 6.809919e-01
## 1089 5 13 14 5.3105568 7.826897e-01 0 4.726748e-01 9.880078e-02
## 1090 5 13 14 4.5756069 1.664466e-01 0 9.127853e-01 4.437247e-01
## 1091 5 13 14 5.7101716 7.602705e-01 0 6.419582e-01 3.641246e-01
## 1092 5 13 14 52.7331569 1.203765e-01 0 2.475433e-01 8.129310e-02
## 1093 5 13 14 6.0170134 1.271622e-01 0 7.287959e-01 3.528749e-01
## 1094 5 13 14 4.1569911 1.619324e-01 0 9.099500e-01 5.106910e-01
## 1095 5 13 14 7.8427103 6.397854e-01 0 4.734694e-01 6.461039e-02
## 1096 5 13 14 196.8007361 8.661549e-02 0 3.530157e-03 7.083091e-02
## 1097 5 13 14 3.5467451 1.867218e-01 0 5.710626e-01 4.468218e-01
## 1098 5 13 14 6.0236975 1.854070e-01 0 7.579102e-01 2.881012e-01
## 1099 5 13 14 3.2769796 7.524027e-01 0 2.526267e-01 4.069267e-01
## 1100 5 13 14 4.5983951 1.333337e-01 0 2.985376e-01 6.692087e-01
## 1101 5 13 14 4.6986334 5.024231e-01 0 7.580042e-01 7.696533e-01
## 1102 5 13 14 6.5674348 1.380627e-01 0 3.509077e-01 4.559344e-01
## 1103 5 13 14 7.1509619 5.401557e-01 0 5.960444e-01 7.689489e-01
## 1104 5 13 14 2.9476356 1.422814e-01 0 8.455172e-01 9.367948e-01
## 1105 5 13 14 2.1488629 7.436499e-02 0 3.433283e-01 6.980564e-01
## 1106 5 13 14 5.0832395 1.838565e-01 0 8.750608e-01 3.443610e-01
## 1107 5 13 14 7.1954021 4.521792e-01 0 8.419221e-01 9.438092e-01
## 1108 5 13 14 3.0140714 1.712904e-01 0 8.319657e-01 7.181948e-01
## 1109 5 13 14 5.2042551 4.140514e-01 0 7.030692e-01 5.270420e-01
## 1110 5 13 14 5.7536374 2.073149e-01 0 9.651632e-01 2.316552e-01
## 1111 5 13 14 3.8940975 6.877331e-01 0 6.821882e-01 7.877435e-01
## 1112 5 13 14 6.6067575 1.192645e-01 0 1.677817e-01 5.603198e-01
## 1113 5 13 14 7.5177657 6.188014e-01 0 7.739809e-01 6.202236e-01
## 1114 5 13 14 3.2126100 1.364681e-01 0 8.600708e-01 8.696865e-01
## 1115 5 13 14 3.6355114 9.217612e-01 0 5.169389e-01 1.602557e-01
## 1116 5 13 14 140.1904450 8.453034e-02 0 5.141659e-02 7.363421e-02
## 1117 5 13 14 6.6106107 2.460067e-01 0 7.483619e-01 2.915639e-01
## 1118 5 13 14 3.2951981 1.450452e-01 0 8.158350e-01 7.945811e-01
## 1119 5 13 14 5.7236622 6.763627e-01 0 1.570044e-01 1.257538e-01
## 1120 5 13 14 12.7370855 1.307473e-01 0 9.857926e-01 1.572333e-01
## 1121 5 13 14 6.3952913 3.063189e-01 0 3.536572e-05 9.148377e-01
## 1122 5 13 14 27.8013378 4.324899e-02 0 7.382769e-05 3.961746e-01
## 1123 5 13 14 7.6363112 1.154555e-01 0 3.592061e-01 3.351311e-01
## 1124 5 13 14 6.7311651 1.502562e-01 0 5.512499e-01 3.608980e-01
## 1125 5 13 14 4.4479246 4.625086e-01 0 7.673937e-01 4.721667e-01
## 1126 5 13 14 3.8892992 1.670020e-01 0 9.754614e-01 5.302666e-01
## 1127 5 13 14 5.2946158 6.193268e-01 0 1.544548e-01 6.425825e-02
## 1128 5 13 14 57.2261988 3.835855e-02 0 1.905784e-02 2.260278e-01
## 1129 5 13 14 3.3599176 1.817986e-01 0 1.008371e-01 2.344211e-02
## 1130 5 13 14 9.1424406 1.191576e-01 0 5.643527e-02 4.167744e-01
## 1131 5 13 14 4.7155147 1.915368e-01 0 6.740742e-01 6.817565e-01
## 1132 5 13 14 3.7554230 1.617021e-01 0 9.172530e-01 5.788266e-01
## 1133 5 13 14 6.3988031 6.790279e-01 0 3.176880e-01 8.054602e-01
## 1134 5 13 14 6.1276630 1.669947e-01 0 6.511346e-01 3.562019e-01
## 1135 5 13 14 5.7728492 3.537055e-01 0 7.810601e-01 2.739198e-01
## 1136 5 13 14 3.3952371 1.706905e-01 0 8.796690e-01 6.249730e-01
## 1137 5 13 14 4.9765575 1.213636e-01 0 8.483214e-01 2.325397e-01
## 1138 5 13 14 3.7818069 1.446083e-01 0 8.183410e-01 6.778230e-01
## 1139 5 13 14 6.0318852 5.586545e-01 0 3.946438e-01 8.903945e-02
## 1140 5 13 14 5.1230845 1.511847e-01 0 7.531705e-01 4.904907e-01
## 1141 5 13 14 4.3280902 6.779781e-02 0 5.899777e-01 4.321247e-01
## 1142 5 13 14 4.5016057 1.467802e-01 0 6.696633e-01 5.776899e-01
## 1143 5 13 14 6.1961961 5.161623e-01 0 6.989979e-01 2.299298e-01
## 1144 5 13 14 6.7972547 1.386667e-01 0 3.766716e-01 4.255871e-01
## 1145 5 13 14 4.3406835 2.866852e-01 0 6.351760e-01 3.100648e-01
## 1146 5 13 14 4.1248475 1.744714e-01 0 9.450838e-01 4.817987e-01
## 1147 5 13 14 2.0684398 8.457041e-01 0 4.878505e-01 5.607119e-01
## 1148 5 13 14 4.6919590 1.633549e-01 0 8.554438e-01 4.546520e-01
## 1149 5 13 14 3.7028520 9.773105e-01 0 9.476321e-01 8.125446e-01
## 1150 5 13 14 14.2229592 1.178709e-01 0 9.991972e-01 1.450094e-01
## 1151 5 13 14 4.3539671 8.724444e-01 0 6.319306e-01 4.514153e-02
## 1152 5 13 14 184.9164407 8.732812e-02 0 1.015843e-02 7.431383e-02
## 1153 5 13 14 4.0800053 6.559007e-01 0 7.981757e-01 8.799416e-01
## 1154 5 13 14 3.4223101 1.496144e-01 0 8.770746e-01 7.368549e-01
## 1155 5 13 14 4.7485352 5.427658e-01 0 3.963812e-01 4.929069e-01
## 1156 5 13 14 2.6526669 1.480495e-01 0 9.640318e-01 9.720358e-01
## 1157 5 13 14 6.9134407 1.575514e-02 0 6.235721e-01 6.461611e-01
## 1158 5 13 14 6.3395620 1.281888e-01 0 2.413666e-01 5.308796e-01
## 1159 5 13 14 3.9633930 4.156689e-01 0 5.777088e-01 4.157665e-02
## 1160 5 13 14 203.0114013 8.268729e-02 0 6.754039e-03 6.963111e-02
## 1161 5 13 14 6.7888097 9.112355e-01 0 7.563877e-01 9.870080e-01
## 1162 5 13 14 1.8531548 2.126201e-01 0 8.399680e-01 9.726467e-01
## 1163 5 13 14 3.4069245 6.897479e-01 0 6.507932e-01 4.978356e-01
## 1164 5 13 14 5.5900786 1.451395e-01 0 5.621429e-01 4.672690e-01
## 1165 5 13 14 2.6699588 5.102464e-01 0 5.662210e-01 7.193750e-01
## 1166 5 13 14 2.9755259 1.393604e-01 0 8.308551e-01 9.200676e-01
## 1167 5 13 14 4.6369931 4.771878e-01 0 1.901429e-01 3.079389e-01
## 1168 5 13 14 9.2714368 1.721598e-01 0 4.562419e-01 2.268896e-01
## 1169 5 13 14 5.9837463 4.218680e-01 0 3.162336e-01 5.640983e-01
## 1170 5 13 14 3.0198860 1.341158e-01 0 9.015729e-01 9.389819e-01
## 1171 5 13 14 2.8265999 5.094146e-01 0 5.643895e-01 2.014976e-01
## 1172 5 13 14 3.2592353 1.530158e-01 0 9.672420e-01 7.172552e-01
## 1173 5 13 14 3.6157271 3.339893e-01 0 1.632179e-01 4.394578e-03
## 1174 5 13 14 115.5943217 5.544918e-02 0 2.319526e-02 1.038228e-01
## 1175 5 13 14 3.0923951 4.652949e-01 0 3.351710e-01 7.107734e-01
## 1176 5 13 14 9.4893510 1.249072e-01 0 1.511867e-01 3.757735e-01
## 1177 5 13 14 6.3879040 6.685150e-01 0 8.466479e-01 7.431920e-01
## 1178 5 13 14 4.4255201 1.688135e-01 0 9.656989e-01 4.566920e-01
## 1179 5 13 14 5.3199949 7.435875e-01 0 3.030573e-02 5.138498e-01
## 1180 5 13 14 7.8967255 1.163901e-01 0 3.574974e-03 5.061453e-01
## 1181 5 13 14 4.4346255 2.171521e-01 0 6.422153e-01 3.922835e-01
## 1182 5 13 14 7.6215213 1.246506e-01 0 2.214247e-01 4.525261e-01
## 1183 5 13 14 7.5221161 8.072967e-02 0 2.476153e-01 7.721133e-01
## 1184 5 13 14 3.0001406 1.556526e-01 0 9.532334e-01 7.968160e-01
## 1185 5 13 14 7.6374110 5.591885e-01 0 9.815471e-01 9.923364e-01
## 1186 5 13 14 2.8541650 1.350488e-01 0 9.939762e-01 9.691192e-01
## 1187 5 13 14 5.6274654 8.291125e-01 0 6.130625e-01 9.657110e-02
## 1188 5 13 14 6.3403573 2.017229e-01 0 8.001000e-01 2.399128e-01
## 1189 5 13 14 7.0049865 8.325129e-01 0 4.412150e-01 6.872809e-01
## 1190 5 13 14 12.4189304 8.887006e-02 0 8.473160e-01 3.020368e-01
## 1191 5 13 14 3.2365746 9.289774e-01 0 1.126126e-01 7.260161e-01
## 1192 5 13 14 4.6998155 9.247899e-02 0 3.507060e-01 9.852578e-01
## 1193 5 13 14 3.2244718 9.609100e-01 0 6.931560e-01 5.977921e-02
## 1194 5 13 14 176.2792518 8.904384e-02 0 8.576332e-03 7.103716e-02
## 1195 5 13 14 6.2621547 7.398313e-01 0 1.323177e-01 2.282546e-01
## 1196 5 13 14 4.8870421 1.720342e-01 0 8.965980e-01 3.984618e-01
## 1197 5 13 14 6.1013706 7.511305e-01 0 4.130304e-01 5.633544e-01
## 1198 5 13 14 3.9288469 1.663281e-01 0 9.472737e-01 5.260913e-01
## 1199 5 13 14 5.0264100 3.382258e-01 0 7.410582e-01 2.338966e-01
## 1200 5 13 14 3.8654101 1.596070e-01 0 9.390694e-01 5.892761e-01
## 1201 5 13 14 4.5177762 7.393343e-01 0 5.149863e-01 6.174046e-01
## 1202 5 13 14 4.1028933 1.649912e-01 0 9.452631e-01 5.119230e-01
## 1203 5 13 14 7.0705601 1.111066e-02 0 8.972910e-01 8.775960e-01
## 1204 5 13 14 3.3289734 1.472141e-01 0 8.988206e-01 7.751101e-01
## 1205 5 13 14 7.4959726 9.934853e-01 0 5.756451e-01 1.123957e-01
## 1206 5 13 14 12.5543301 8.410886e-01 0 6.993056e-01 1.226758e-01
## 1207 5 13 14 6.7427285 9.966537e-01 0 2.605837e-01 7.206813e-01
## 1208 5 13 14 77.2094402 1.740739e-01 0 1.451252e-01 8.316548e-02
## 1209 5 13 14 2.3927396 2.287685e-01 0 1.322426e-01 7.764849e-02
## 1210 5 13 14 8.1974473 1.837899e-01 0 5.872301e-01 2.209272e-01
## 1211 5 13 14 5.0879800 2.269707e-02 0 2.467469e-01 3.657763e-01
## 1212 5 13 14 3.8903022 1.386511e-01 0 6.053699e-01 7.246288e-01
## 1213 5 13 14 7.5224742 4.388827e-01 0 8.042307e-01 5.221142e-01
## 1214 5 13 14 3.8568133 1.571494e-01 0 9.201898e-01 5.896893e-01
## 1215 5 13 14 4.1013021 2.877236e-01 0 6.847440e-01 2.570478e-01
## 1216 5 13 14 10.9278396 1.292744e-01 0 9.036002e-02 3.156294e-01
## 1217 5 13 14 2.8495512 9.256623e-01 0 7.787641e-01 5.506455e-02
## 1218 5 13 14 89.4736782 6.715786e-02 0 9.182280e-02 1.017383e-01
## 1219 5 13 14 7.4316105 2.517326e-01 0 9.490951e-02 2.363369e-02
## 1220 5 13 14 4.3653218 1.279014e-01 0 2.255056e-01 7.922052e-01
## 1221 5 13 14 4.7193932 7.017768e-01 0 9.707477e-01 4.006006e-01
## 1222 5 13 14 4.1859811 1.537326e-01 0 9.716008e-01 5.271783e-01
## 1223 5 13 14 2.5247222 6.971607e-01 0 3.763920e-01 8.766162e-01
## 1224 5 13 14 4.3073553 1.324739e-01 0 6.735515e-01 6.904134e-01
## 1225 5 13 14 3.9467861 2.804893e-01 0 1.719415e-02 6.038043e-01
## 1226 5 13 14 8.1988029 1.474984e-01 0 3.380164e-01 3.243911e-01
## 1227 5 13 14 6.4600799 8.195039e-01 0 7.433638e-01 6.275669e-01
## 1228 5 13 14 3.2553013 1.299238e-01 0 7.452238e-01 9.489178e-01
## 1229 5 13 14 6.2122196 1.651974e-01 0 5.882482e-02 4.149686e-01
## 1230 5 13 14 12.0056993 1.472046e-01 0 2.131092e-01 2.440700e-01
## 1231 5 13 14 2.9016666 3.179809e-01 0 2.538019e-01 5.228426e-01
## 1232 5 13 14 6.4925270 1.444844e-01 0 5.009835e-01 4.094884e-01
## 1233 5 13 14 4.1800950 7.808174e-01 0 9.444934e-01 8.259824e-01
## 1234 5 13 14 3.4353810 1.448278e-01 0 9.599020e-01 7.291334e-01
## 1235 5 13 14 6.7125706 3.083749e-01 0 4.972704e-01 3.309053e-01
## 1236 5 13 14 8.7666490 1.205408e-01 0 5.960594e-02 4.316470e-01
## 1237 5 13 14 4.9439135 6.399834e-01 0 2.472862e-01 1.374775e-01
## 1238 5 13 14 5.2434435 1.776549e-01 0 9.011801e-01 3.459462e-01
## 1239 5 13 14 4.9116466 1.355698e-01 0 9.346063e-01 3.552859e-03
## 1240 5 13 14 12.7785575 1.407349e-01 0 9.828146e-01 1.399148e-01
## 1241 5 13 14 2.4269117 7.549287e-02 0 6.063444e-01 6.624060e-01
## 1242 5 13 14 4.1660682 1.655092e-01 0 9.437516e-01 5.040155e-01
## 1243 5 13 14 7.1198894 5.310055e-01 0 7.774580e-01 4.590479e-01
## 1244 5 13 14 71.0367897 3.558518e-02 0 1.903456e-02 2.012656e-01
## 1245 5 13 14 4.1571261 3.194445e-02 0 6.481389e-02 5.583035e-01
## 1246 5 13 14 3.8639889 1.209272e-01 0 3.577751e-01 8.994697e-01
## 1247 5 13 14 5.7284900 9.156550e-01 0 6.344133e-01 5.685247e-01
## 1248 5 13 14 5.7345831 1.813412e-01 0 8.434167e-01 3.123217e-01
## 1249 5 13 14 6.8611481 1.323199e-02 0 8.821731e-02 1.040227e-02
## 1250 5 13 14 69.3479790 4.030226e-02 0 1.329396e-02 1.816271e-01
## 1251 5 13 14 6.4335025 5.080341e-01 0 4.658920e-01 6.445821e-01
## 1252 5 13 14 4.0888446 1.512702e-01 0 7.550541e-01 6.251105e-01
## 1253 5 13 14 7.6891750 1.907293e-01 0 7.521151e-01 3.626169e-01
## 1254 5 13 14 3.3193015 1.592111e-01 0 8.525673e-01 7.125031e-01
## 1255 5 13 14 4.4999593 5.862926e-01 0 3.596129e-01 5.945777e-01
## 1256 5 13 14 8.6993575 1.417500e-01 0 2.549329e-01 3.316901e-01
## 1257 5 13 14 2.2421327 6.376724e-01 0 8.910534e-01 2.930002e-01
## 1258 5 13 14 4.8918728 1.800896e-01 0 9.777970e-01 3.629654e-01
## 1259 5 13 14 2.4828624 4.962106e-01 0 7.020363e-02 3.374279e-01
## 1260 5 13 14 9.9546873 1.275853e-01 0 1.083669e-01 3.542565e-01
## 1261 5 13 14 5.1011342 6.638022e-01 0 1.896327e-01 7.390046e-01
## 1262 5 13 14 3.8007026 1.178165e-01 0 1.884501e-01 9.683335e-01
## 1263 5 13 14 4.0452548 6.078708e-01 0 8.215482e-01 5.191391e-01
## 1264 5 13 14 38.9723508 3.704373e-02 0 8.679277e-02 3.119101e-01
## 1265 5 13 14 4.4341361 7.688466e-01 0 9.051372e-01 3.883420e-02
## 1266 5 13 14 13.2629924 1.224518e-01 0 9.807473e-01 1.776591e-01
## 1267 5 13 14 6.0189902 8.728913e-01 0 1.449935e-01 7.395917e-01
## 1268 5 13 14 153.2581330 1.005389e-01 0 2.759934e-02 6.819900e-02
## 1269 5 13 14 7.0999449 7.048565e-01 0 6.588835e-01 1.528140e-01
## 1270 5 13 14 164.1695923 9.698003e-02 0 1.459528e-02 6.807888e-02
## 1271 5 13 14 4.3256041 4.978885e-01 0 2.845200e-01 3.818560e-01
## 1272 5 13 14 4.7861144 1.535052e-01 0 5.236247e-01 5.189678e-01
## 1273 5 13 14 2.1818539 3.346506e-01 0 7.204467e-01 4.953577e-02
## 1274 5 13 14 176.0733491 7.593132e-02 0 6.566882e-03 7.951698e-02
## 1275 5 13 14 4.8451182 5.082345e-01 0 8.759100e-01 4.837767e-01
## 1276 5 13 14 4.8760700 1.808829e-01 0 9.704902e-01 3.523153e-01
## 1277 5 13 14 3.0236871 5.699714e-01 0 8.995232e-01 3.790479e-01
## 1278 5 13 14 4.7866710 1.722490e-01 0 9.586210e-01 3.971655e-01
## 1279 5 13 14 5.2603838 4.130864e-01 0 9.831386e-01 3.428081e-01
## 1280 5 13 14 2.9595648 1.517477e-01 0 9.961510e-01 8.356735e-01
## 1281 5 13 14 7.9284022 7.839584e-01 0 8.300809e-01 5.328223e-01
## 1282 5 13 14 15.6166358 1.572232e-01 0 9.389107e-01 1.010054e-01
## 1283 5 13 14 4.0076020 8.864843e-02 0 8.943011e-01 2.639175e-01
## 1284 5 13 14 5.1199906 1.786108e-01 0 9.411225e-01 3.457881e-01
## 1285 5 13 14 5.2098354 8.431620e-01 0 9.739159e-01 7.062679e-01
## 1286 5 13 14 3.5914334 1.681432e-01 0 9.923240e-01 5.775421e-01
## 1287 5 13 14 2.0096632 3.108404e-01 0 9.574069e-01 5.240917e-01
## 1288 5 13 14 5.4369303 1.757401e-01 0 8.465888e-01 3.476794e-01
## 1289 5 13 14 5.2071450 6.237912e-01 0 4.803561e-01 5.680747e-01
## 1290 5 13 14 4.3160961 1.087066e-01 0 1.378027e-01 9.332439e-01
## 1291 5 13 14 2.5564342 8.276954e-01 0 2.838218e-01 6.916654e-01
## 1292 5 13 14 3.7464007 1.538552e-01 0 7.837877e-01 6.221162e-01
## 1293 5 13 14 5.7714850 6.174879e-01 0 2.780702e-02 1.036849e-01
## 1294 5 13 14 16.7233959 5.556063e-02 0 4.478172e-01 4.176796e-01
## 1295 5 13 14 4.4998229 2.077047e-01 0 4.299864e-01 5.171994e-01
## 1296 5 13 14 4.0435413 1.227460e-01 0 2.422923e-01 8.639340e-01
## 1297 5 13 14 5.8268638 4.445707e-01 0 4.461938e-01 6.809111e-01
## 1298 5 13 14 3.9470634 1.624879e-01 0 9.274559e-01 5.503689e-01
## 1299 5 13 14 5.1575494 4.500563e-01 0 2.643282e-01 6.133071e-02
## 1300 5 13 14 6.3478437 1.716603e-01 0 7.107719e-01 3.029823e-01
## 1301 5 13 14 4.9552369 3.768283e-01 0 3.742940e-01 6.556339e-01
## 1302 5 13 14 4.9029844 1.515492e-01 0 6.027857e-01 5.049332e-01
## 1303 5 13 14 6.6874595 7.747310e-01 0 3.047190e-01 7.106072e-01
## 1304 5 13 14 24.4479099 1.331688e-01 0 6.170395e-01 9.808510e-02
## 1305 5 13 14 5.2480844 2.900824e-01 0 6.046431e-01 5.801375e-01
## 1306 5 13 14 4.7787033 1.562070e-01 0 7.379141e-01 4.830166e-01
## 1307 5 13 14 4.3632889 6.626984e-02 0 5.780834e-01 4.398426e-01
## 1308 5 13 14 5.0016715 1.709239e-01 0 8.216612e-01 3.930760e-01
## 1309 5 13 14 2.3847280 4.119497e-01 0 1.617646e-01 8.695891e-01
## 1310 5 13 14 4.4452035 1.531159e-01 0 7.777140e-01 5.228987e-01
## 1311 5 13 14 7.7132569 4.072666e-01 0 4.136495e-01 4.932349e-01
## 1312 5 13 14 5.2198386 1.894460e-01 0 9.273083e-01 3.235014e-01
## 1313 5 13 14 2.0042393 2.817022e-01 0 4.820567e-01 4.094690e-01
## 1314 5 13 14 3.8741453 1.694286e-01 0 8.703942e-01 5.234966e-01
## 1315 5 13 14 7.4845950 9.375199e-01 0 7.312736e-01 4.956706e-01
## 1316 5 13 14 157.0141414 9.430979e-02 0 3.587444e-02 6.999858e-02
## 1317 5 13 14 2.0795445 7.225268e-01 0 6.772249e-01 1.220206e-01
## 1318 5 13 14 4.5388492 1.540152e-01 0 7.475511e-01 5.245733e-01
## 1319 5 13 14 3.4109655 8.503532e-02 0 1.402466e-01 9.463193e-01
## 1320 5 13 14 6.4645949 1.335532e-01 0 1.682087e-01 5.180270e-01
## 1321 5 13 14 4.0360994 6.964086e-01 0 2.022640e-01 3.011858e-01
## 1322 5 13 14 8.2504464 1.289145e-01 0 2.397568e-01 3.908554e-01
## 1323 5 13 14 3.3466546 7.700422e-01 0 3.306455e-01 5.302828e-02
## 1324 5 13 14 179.6416933 9.210880e-02 0 9.188269e-03 7.210706e-02
## 1325 5 13 14 7.3215589 3.975566e-02 0 4.452334e-01 2.010369e-02
## 1326 5 13 14 8.4869531 1.266635e-01 0 2.079213e-01 3.966760e-01
## 1327 5 13 14 6.4797574 4.276011e-01 0 9.601017e-02 7.854400e-01
## 1328 5 13 14 3.6107522 1.366047e-01 0 7.235946e-02 9.499218e-01
## 1329 5 13 14 2.1738441 1.423282e-01 0 8.816772e-01 7.911484e-01
## 1330 5 13 14 3.3700448 1.338061e-01 0 7.064262e-01 8.770633e-01
## 1331 5 13 14 6.8422766 1.632251e-02 0 7.173384e-01 6.704916e-01
## 1332 5 13 14 4.4244813 1.062235e-01 0 5.967236e-02 9.296503e-01
## 1333 5 13 14 5.3389748 7.972129e-01 0 1.079065e-01 4.010167e-02
## 1334 5 13 14 9.3994205 1.357370e-01 0 2.243252e-01 3.294549e-01
## 1335 5 13 14 7.2793805 4.953670e-01 0 7.696681e-01 7.016906e-01
## 1336 5 13 14 7.0245404 7.058257e-02 0 6.461710e-01 9.889968e-01
## 1337 5 13 14 6.2937191 9.341822e-02 0 4.686434e-02 3.364553e-01
## 1338 5 13 14 5.1840585 1.129101e-01 0 1.091170e-01 7.471823e-01
## 1339 5 13 14 2.7206855 2.795266e-01 0 5.664667e-01 2.544130e-01
## 1340 5 13 14 3.5489364 1.361412e-01 0 7.980301e-01 8.319838e-01
## 1341 5 13 14 2.4421229 6.317446e-01 0 2.589014e-01 5.738967e-01
## 1342 5 13 14 4.4500655 1.699180e-01 0 9.075934e-01 4.491320e-01
## 1343 5 13 14 7.3508691 2.761873e-01 0 7.079557e-01 7.343831e-01
## 1344 5 13 14 137.0205534 5.301014e-02 0 1.563964e-02 1.002363e-01
## 1345 5 13 14 6.6668994 1.153269e-01 0 9.548801e-01 7.108020e-01
## 1346 5 13 14 2.8061598 1.363090e-01 0 9.838559e-01 9.706809e-01
## 1347 5 13 14 3.3100525 5.636844e-01 0 9.798825e-01 5.114580e-01
## 1348 5 13 14 4.1623415 1.590486e-01 0 9.975549e-01 5.358807e-01
## 1349 5 13 14 6.7868741 1.039609e-01 0 6.977193e-01 2.187883e-01
## 1350 5 13 14 6.3943449 1.811174e-01 0 7.275659e-01 2.812721e-01
## 1351 5 13 14 3.9711193 4.633133e-01 0 4.221709e-02 2.751519e-01
## 1352 5 13 14 3.7052068 1.250378e-01 0 6.456975e-02 9.581722e-01
## 1353 5 13 14 6.5098373 1.606291e-01 0 2.931582e-01 3.927083e-01
## 1354 5 13 14 5.0520829 1.810196e-01 0 8.981180e-01 3.504288e-01
## 1355 5 13 14 3.7740022 7.317975e-01 0 4.495285e-01 3.169368e-01
## 1356 5 13 14 3.2424067 1.457117e-01 0 9.002707e-01 7.819695e-01
## 1357 5 13 14 7.5770180 5.482744e-01 0 9.642643e-01 2.498534e-01
## 1358 5 13 14 4.1094484 1.706425e-01 0 9.939426e-01 4.828939e-01
## 1359 5 13 14 6.3773257 5.185498e-01 0 1.004678e-01 3.615438e-01
## 1360 5 13 14 6.2837382 1.490498e-01 0 5.548742e-01 3.935883e-01
## 1361 5 13 14 3.5115993 7.469255e-01 0 8.249993e-01 3.961568e-01
## 1362 5 13 14 5.1077530 1.919543e-01 0 9.847470e-01 3.213154e-01
## 1363 5 13 14 5.5381584 6.254174e-01 0 5.487086e-01 1.070197e-01
## 1364 5 13 14 61.5242006 5.100431e-02 0 1.000498e-01 1.545181e-01
## 1365 5 13 14 2.3627429 8.887817e-02 0 3.245851e-01 4.290838e-01
## 1366 5 13 14 5.1476624 1.458806e-01 0 6.659468e-01 4.919019e-01
## 1367 5 13 14 4.4012763 3.095052e-01 0 8.365062e-01 4.427281e-02
## 1368 5 13 14 3.8153506 1.160087e-01 0 3.033626e-01 9.468245e-01
## 1369 5 13 14 5.4617054 4.798895e-01 0 3.618320e-01 2.652757e-01
## 1370 5 13 14 2.9092745 1.433112e-01 0 9.290366e-01 9.274471e-01
## 1371 5 13 14 4.0066883 5.274320e-01 0 6.906908e-01 2.607796e-01
## 1372 5 13 14 4.5989220 1.805712e-01 0 9.821785e-01 3.986505e-01
## 1373 5 13 14 2.0291273 3.645218e-01 0 7.190304e-01 4.506625e-02
## 1374 5 13 14 4.3488107 1.595156e-01 0 9.127464e-01 4.898466e-01
## 1375 5 13 14 5.8856888 5.859159e-01 0 4.017192e-01 1.916544e-01
## 1376 5 13 14 3.7598007 1.522355e-01 0 8.781427e-01 6.371975e-01
## 1377 5 13 14 5.7231801 1.294706e-01 0 5.423885e-01 9.101439e-01
## 1378 5 13 14 4.8452787 1.806441e-01 0 9.313063e-01 3.697496e-01
## 1379 5 13 14 3.0063624 5.775123e-01 0 3.851295e-01 9.908585e-01
## 1380 5 13 14 2.7386204 1.478630e-01 0 7.982523e-01 9.564211e-01
## 1381 5 13 14 3.1100770 5.790422e-01 0 2.618464e-02 6.433369e-01
## 1382 5 13 14 6.7390360 1.178388e-01 0 1.411718e-02 5.580763e-01
## 1383 5 13 14 2.1091558 8.463275e-01 0 6.692151e-01 3.022621e-01
## 1384 5 13 14 4.7613227 1.653553e-01 0 8.468337e-01 4.320387e-01
## 1385 5 13 14 5.2798471 2.050464e-01 0 6.648632e-01 5.266748e-01
## 1386 5 13 14 2.9325474 1.402771e-01 0 6.529859e-01 9.668078e-01
## 1387 5 13 14 6.2413356 9.665051e-01 0 9.408742e-02 3.361815e-02
## 1388 5 13 14 97.4633200 1.191294e-01 0 1.102341e-01 7.257394e-02
## 1389 5 13 14 2.5546823 1.800751e-01 0 5.300517e-01 1.615738e-01
## 1390 5 13 14 3.8246515 1.139515e-01 0 3.199373e-01 9.711173e-01
## 1391 5 13 14 2.9952898 3.532889e-01 0 3.011564e-01 6.496605e-02
## 1392 5 13 14 3.8086833 1.648787e-01 0 8.190159e-01 5.798623e-01
## 1393 5 13 14 5.8908279 2.362642e-01 0 1.920081e-01 4.882392e-01
## 1394 5 13 14 5.6787746 1.268552e-01 0 2.511599e-01 5.913459e-01
## 1395 5 13 14 2.1430574 6.823884e-01 0 5.376243e-01 5.264192e-02
## 1396 5 13 14 178.2901012 1.023917e-01 0 1.105291e-02 6.541989e-02
## 1397 5 13 14 5.4724494 6.571549e-01 0 4.967495e-01 7.731402e-01
## 1398 5 13 14 3.6876424 1.544085e-01 0 9.540341e-01 6.293685e-01
## 1399 5 13 14 6.0698072 5.616685e-02 0 8.005272e-01 8.656935e-01
## 1400 5 13 14 23.3044870 6.537663e-02 0 4.319888e-01 2.465348e-01
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## 1402 5 13 14 14.2956786 9.861476e-01 0 2.955777e-01 2.652354e-01
## 1403 5 13 14 6.9267607 1.430014e-03 0 7.639580e-03 2.989242e-02
## 1404 5 13 14 409.3935335 9.351124e-03 0 1.059467e-02 6.394730e-01
## 1405 5 13 14 7.4173043 4.788208e-01 0 9.575990e-01 8.179318e-02
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## 1445 5 13 14 6.4503168 7.609640e-01 0 7.916205e-01 3.580333e-01
## 1446 5 13 14 167.4686439 9.996793e-02 0 2.210625e-02 6.777321e-02
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## 1454 5 13 14 5.3397447 1.859502e-01 0 8.365003e-01 3.293005e-01
## 1455 5 13 14 6.1421948 3.723609e-01 0 1.878883e-01 1.501590e-01
## 1456 5 13 14 4.1540007 1.071835e-01 0 2.285231e-01 9.771511e-01
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## 1458 5 13 14 5.7327530 1.820805e-01 0 8.384748e-01 3.067070e-01
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## 1467 5 13 14 6.4188804 6.527678e-01 0 8.174898e-01 1.734385e-01
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## 1490 5 13 14 5.7273504 1.787330e-01 0 7.498459e-01 3.249152e-01
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## 1492 5 13 14 21.6024649 7.692285e-02 0 4.792324e-01 2.035539e-01
## 1493 5 13 14 2.0460815 9.717650e-02 0 8.250266e-01 3.460389e-01
## 1494 5 13 14 4.5258798 1.735830e-01 0 9.452750e-01 4.161205e-01
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## 1496 5 13 14 4.9531059 1.516557e-01 0 7.605284e-01 4.911610e-01
## 1497 5 13 14 4.8473712 6.793214e-01 0 6.376826e-01 1.832655e-01
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## 1499 5 13 14 7.6459578 8.241995e-01 0 6.213960e-01 2.518826e-01
## 1500 5 13 14 11.7969342 1.126285e-01 0 8.497545e-01 2.251593e-01
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## 1502 5 13 14 5.0316445 1.715116e-01 0 7.887090e-01 4.083562e-01
## 1503 5 13 14 4.9872266 2.290867e-01 0 3.142045e-01 5.060003e-01
## 1504 5 13 14 5.0585082 1.668133e-01 0 8.240485e-01 4.050104e-01
## 1505 5 13 14 7.7986482 3.609604e-01 0 9.071325e-01 6.684284e-01
## 1506 5 13 14 3.1975241 1.440884e-01 0 9.445274e-01 8.135850e-01
## 1507 5 13 14 6.1183350 3.730628e-01 0 4.434697e-01 8.448253e-01
## 1508 5 13 14 3.5039576 1.418014e-01 0 5.957424e-01 7.847126e-01
## 1509 5 13 14 2.4706964 9.510196e-01 0 6.458592e-01 4.436534e-01
## 1510 5 13 14 3.1671872 1.942009e-01 0 9.021092e-01 6.056713e-01
## 1511 5 13 14 2.4601332 2.427353e-01 0 9.600667e-01 8.504151e-01
## 1512 5 13 14 2.8995122 1.667745e-01 0 9.881628e-01 7.595458e-01
## 1513 5 13 14 5.7118483 7.146551e-01 0 7.307032e-02 8.778573e-02
## 1514 5 13 14 112.8801084 5.049180e-02 0 2.099965e-02 1.103568e-01
## 1515 5 13 14 7.6655546 5.750048e-01 0 1.831380e-01 3.353473e-01
## 1516 5 13 14 4.0291016 1.122253e-01 0 1.659788e-01 9.954506e-01
## 1517 5 13 14 5.8245396 5.810544e-01 0 7.043964e-01 3.153122e-01
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## 1519 5 13 14 5.9561389 4.159131e-01 0 9.719208e-01 7.515212e-01
## 1520 5 13 14 3.2244163 1.540939e-01 0 9.644745e-01 7.111325e-01
## 1521 5 13 14 4.9235751 1.278090e-01 0 4.677562e-01 5.855437e-01
## 1522 5 13 14 7.2259373 1.779844e-01 0 6.975542e-01 2.566803e-01
## 1523 5 13 14 2.6590096 4.471253e-01 0 1.031829e-01 1.803393e-01
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## 1525 5 13 14 4.7970044 9.432888e-01 0 6.813852e-01 5.655765e-01
## 1526 5 13 14 152.8512824 9.796015e-02 0 3.656351e-02 6.984686e-02
## 1527 5 13 14 6.7469450 8.616307e-01 0 6.241804e-01 3.621857e-02
## 1528 5 13 14 37.3931589 1.074155e-01 0 3.009520e-01 1.004963e-01
## 1529 5 13 14 2.5567513 1.248536e-01 0 6.454366e-01 3.921399e-01
## 1530 5 13 14 5.6540840 1.794950e-01 0 8.603671e-01 3.220989e-01
## 1531 5 13 14 5.9823458 3.382965e-01 0 3.716507e-02 1.239140e-01
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## 1533 5 13 14 4.8886175 7.212365e-01 0 3.328090e-01 3.987069e-01
## 1534 5 13 14 5.9436538 1.177352e-01 0 1.433356e-01 6.307308e-01
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## 1536 5 13 14 165.7843701 7.303968e-02 0 1.249746e-02 7.496740e-02
## 1537 5 13 14 3.1968570 9.848481e-01 0 7.110077e-01 2.828601e-01
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## 1539 5 13 14 3.8138342 1.486987e-01 0 6.245315e-01 5.761354e-01
## 1540 5 13 14 3.2006826 1.404746e-01 0 5.956442e-01 8.733349e-01
## 1541 5 13 14 3.3480922 5.960458e-01 0 6.155451e-01 3.465926e-01
## 1542 5 13 14 3.7562642 1.624257e-01 0 9.533176e-01 5.756094e-01
## 1543 5 13 14 2.5818817 4.939088e-01 0 1.821195e-02 1.689344e-02
## 1544 5 13 14 4.5591165 1.646885e-01 0 8.059678e-01 4.767243e-01
## 1545 5 13 14 3.1644003 5.048149e-01 0 6.333687e-01 7.828551e-01
## 1546 5 13 14 2.9379456 1.370202e-01 0 8.913106e-01 9.571226e-01
## 1547 5 13 14 5.4783674 4.814187e-02 0 5.250452e-01 8.425455e-01
## 1548 5 13 14 7.1239946 1.600585e-01 0 4.942269e-01 3.255585e-01
## 1549 5 13 14 2.5865840 4.143998e-01 0 6.714492e-01 7.468645e-01
## 1550 5 13 14 5.3010364 1.676835e-01 0 7.970492e-01 3.877553e-01
## 1551 5 13 14 7.8881488 5.882122e-01 0 1.490630e-01 8.736937e-01
## 1552 5 13 14 14.8243831 6.015286e-02 0 6.246842e-02 7.972903e-01
## 1553 5 13 14 3.2293926 9.653594e-01 0 9.258975e-01 6.837742e-01
## 1554 5 13 14 66.2850133 7.869069e-02 0 1.568140e-01 1.019278e-01
## 1555 5 13 14 4.6230486 1.005921e-01 0 9.767761e-01 8.459879e-02
## 1556 5 13 14 4.4939983 1.629997e-01 0 9.577645e-01 4.573001e-01
## 1557 5 13 14 6.3676448 9.948233e-01 0 2.288392e-01 8.588753e-01
## 1558 5 13 14 14.1779002 9.966032e-01 0 3.922324e-01 2.018827e-01
## 1559 5 13 14 7.2740541 3.349042e-01 0 6.867663e-01 1.437225e-01
## 1560 5 13 14 4.4158446 1.736016e-01 0 9.722146e-01 4.196879e-01
## 1561 5 13 14 4.4761508 9.998886e-01 0 5.579839e-01 1.841240e-01
## 1562 5 13 14 9.4948023 9.993342e-01 0 7.561665e-01 2.002666e-01
## 1563 5 13 14 4.8746743 5.263815e-01 0 6.132957e-01 6.943396e-01
## 1564 5 13 14 5.4048301 1.895862e-01 0 9.112972e-01 3.002590e-01
## 1565 5 13 14 6.4964244 5.921238e-01 0 6.129382e-01 4.712466e-02
## 1566 5 13 14 31.8241760 5.794026e-02 0 2.989926e-01 2.112801e-01
## 1567 5 13 14 7.9354826 8.145826e-01 0 4.944696e-01 1.347160e-01
## 1568 5 13 14 18.5887102 1.000641e-01 0 6.471954e-01 1.638670e-01
## 1569 5 13 14 5.0694893 6.278509e-01 0 6.297667e-01 2.718159e-01
## 1570 5 13 14 4.5545226 1.612406e-01 0 5.513611e-01 5.322249e-01
## 1571 5 13 14 5.5466960 3.960069e-01 0 2.670761e-01 2.625421e-01
## 1572 5 13 14 4.6046589 1.178881e-01 0 1.577181e-01 7.999368e-01
## 1573 5 13 14 3.3179556 2.744739e-01 0 9.439485e-01 6.383270e-01
## 1574 5 13 14 3.1118651 1.287465e-01 0 9.551021e-01 9.707893e-01
## 1575 5 13 14 7.7887467 2.200219e-01 0 5.092530e-01 5.075422e-01
## 1576 5 13 14 6.7475344 1.780072e-01 0 7.021994e-01 2.750763e-01
## 1577 5 13 14 2.9352774 1.805472e-01 0 8.757057e-01 1.970569e-01
## 1578 5 13 14 6.2433647 1.669251e-01 0 6.915551e-01 3.399443e-01
## 1579 5 13 14 2.4204434 1.733133e-01 0 4.920249e-01 4.686684e-01
## 1580 5 13 14 3.1073035 1.338602e-01 0 7.854953e-01 9.283433e-01
## 1581 5 13 14 2.5828354 7.601323e-02 0 2.661103e-01 9.155033e-01
## 1582 5 13 14 6.7452597 1.478653e-01 0 5.127207e-01 3.749288e-01
## 1583 5 13 14 2.9217830 6.399376e-02 0 6.160496e-01 5.291403e-01
## 1584 5 13 14 2.8689905 1.388368e-01 0 7.833761e-01 9.811657e-01
## 1585 5 13 14 7.4775159 1.802617e-03 0 6.908554e-01 7.139288e-01
## 1586 5 13 14 28.9064314 5.055494e-02 0 5.782956e-01 9.533698e-01
## 1587 5 13 14 6.7513870 1.312938e-01 0 7.218862e-01 8.028994e-01
## 1588 5 13 14 2.9669956 1.365294e-01 0 9.817193e-01 9.440432e-01
## 1589 5 13 14 7.2047575 8.901166e-01 0 6.338463e-01 6.295228e-01
## 1590 5 13 14 150.4496985 7.581579e-02 0 1.577787e-02 8.308440e-02
## 1591 5 13 14 4.5769727 1.642936e-01 0 6.660532e-01 4.797102e-01
## 1592 5 13 14 3.8736222 1.442325e-01 0 6.975624e-01 7.006747e-01
## 1593 5 13 14 5.4036918 6.624099e-01 0 3.922037e-01 9.596424e-01
## 1594 5 13 14 4.8522296 1.644552e-01 0 8.232177e-01 4.436606e-01
## 1595 5 13 14 7.3706762 2.520691e-01 0 4.613154e-01 9.896969e-02
## 1596 5 13 14 5.1875871 1.668594e-01 0 8.996214e-01 3.917230e-01
## 1597 5 13 14 6.4427157 6.291177e-01 0 2.571252e-01 9.939267e-01
## 1598 5 13 14 1.9030789 2.207155e-01 0 4.925943e-01 9.878917e-01
## 1599 5 13 14 4.2799158 6.644781e-01 0 7.229513e-01 1.214661e-01
## 1600 5 13 14 192.5596247 7.322342e-02 0 5.856633e-03 7.334624e-02
## 1601 5 13 14 4.8918919 7.138002e-01 0 5.254796e-02 4.308264e-01
## 1602 5 13 14 4.2348456 1.235319e-01 0 3.444630e-01 7.895737e-01
## 1603 5 13 14 7.6143923 9.034509e-01 0 7.895587e-01 8.541741e-01
## 1604 5 13 14 3.4158665 1.717539e-01 0 9.367321e-01 6.158198e-01
## 1605 5 13 14 5.1262480 8.047439e-01 0 8.567717e-01 7.533911e-01
## 1606 5 13 14 4.2252448 1.676055e-01 0 9.326538e-01 4.892544e-01
## 1607 5 13 14 7.2321912 3.080687e-01 0 6.218456e-01 6.044917e-01
## 1608 5 13 14 4.8123107 1.626526e-01 0 6.453286e-01 5.017899e-01
## 1609 5 13 14 3.4931666 5.504055e-01 0 4.456884e-01 8.622616e-02
## 1610 5 13 14 5.8265536 1.589901e-01 0 6.226354e-01 3.850346e-01
## 1611 5 13 14 6.1055312 1.623435e-01 0 1.878794e-01 5.696690e-01
## 1612 5 13 14 7.9080609 1.595091e-01 0 4.135848e-01 3.052403e-01
## 1613 5 13 14 7.2097760 9.489982e-02 0 3.339907e-01 2.165510e-02
## 1614 5 13 14 5.4849081 1.801159e-01 0 8.272960e-01 3.380626e-01
## 1615 5 13 14 2.7386788 2.716535e-01 0 4.697262e-01 2.459569e-01
## 1616 5 13 14 5.0977628 1.543733e-01 0 7.736054e-01 4.573685e-01
## 1617 5 13 14 3.6571369 9.061899e-01 0 9.420143e-02 2.028398e-01
## 1618 5 13 14 13.5025198 1.237779e-01 0 9.318658e-02 2.718708e-01
## 1619 5 13 14 4.2385818 9.279446e-01 0 1.552129e-01 7.582378e-01
## 1620 5 13 14 192.9760013 9.278259e-02 0 4.373199e-03 6.965855e-02
## 1621 5 13 14 6.0023124 6.915673e-01 0 2.419263e-01 6.388748e-01
## 1622 5 13 14 8.4137497 1.593839e-01 0 3.893114e-01 2.825565e-01
## 1623 5 13 14 2.6203204 3.367301e-01 0 6.199906e-01 8.961319e-01
## 1624 5 13 14 5.6298458 1.602127e-01 0 6.733539e-01 3.867699e-01
## 1625 5 13 14 2.3376994 8.918541e-01 0 9.764830e-01 9.695529e-01
## 1626 5 13 14 4.1193138 1.568044e-01 0 9.883256e-01 5.297056e-01
## 1627 5 13 14 3.4855280 5.257936e-01 0 9.027356e-01 4.179699e-01
## 1628 5 13 14 5.4262676 1.899246e-01 0 9.338105e-01 2.995154e-01
## 1629 5 13 14 4.5556833 1.034003e-01 0 6.304303e-01 2.542893e-01
## 1630 5 13 14 3.9090730 1.414157e-01 0 8.693061e-01 6.860652e-01
## 1631 5 13 14 6.0852701 3.400473e-01 0 1.397248e-01 9.383355e-01
## 1632 5 13 14 6.8593345 1.414400e-01 0 4.001858e-01 4.177041e-01
## 1633 5 13 14 3.5996001 3.780028e-01 0 3.510765e-01 6.788910e-01
## 1634 5 13 14 3.7482196 1.458573e-01 0 8.790960e-01 6.721871e-01
## 1635 5 13 14 4.2636200 2.639485e-01 0 9.866494e-01 6.120834e-01
## 1636 5 13 14 3.5105118 1.736355e-01 0 9.929250e-01 5.764345e-01
## 1637 5 13 14 6.1121568 5.820512e-01 0 3.694503e-01 3.935386e-02
## 1638 5 13 14 153.3662146 6.251540e-02 0 1.562841e-02 8.555039e-02
## 1639 5 13 14 3.7261082 6.280078e-03 0 2.522606e-01 2.303660e-01
## 1640 5 13 14 4.2281186 1.591681e-01 0 8.522129e-01 5.324601e-01
## 1641 5 13 14 3.1553769 9.697638e-01 0 3.845084e-01 4.301237e-01
## 1642 5 13 14 3.9858523 2.067252e-01 0 6.965597e-01 4.426641e-01
## 1643 5 13 14 2.3025645 2.158284e-01 0 9.417922e-01 2.219352e-01
## 1644 5 13 14 5.1635942 1.873420e-01 0 9.189853e-01 3.290252e-01
## 1645 5 13 14 3.7613580 5.825758e-01 0 8.477405e-01 3.827539e-01
## 1646 5 13 14 3.8848414 1.124455e-01 0 4.014665e-01 9.589685e-01
## 1647 5 13 14 4.9637919 4.138604e-01 0 2.686890e-01 4.012311e-01
## 1648 5 13 14 8.2106380 1.393919e-01 0 2.937937e-01 3.502959e-01
## 1649 5 13 14 3.0080749 9.054107e-01 0 1.266937e-01 6.252585e-01
## 1650 5 13 14 202.5437796 8.983595e-02 0 8.751223e-03 6.853223e-02
## 1651 5 13 14 3.1631319 1.721054e-01 0 7.498852e-01 5.376028e-01
## 1652 5 13 14 3.5027328 1.576290e-01 0 9.490887e-01 6.632622e-01
## 1653 5 13 14 5.8594151 8.566722e-01 0 4.348769e-01 2.519460e-01
## 1654 5 13 14 209.4366108 8.703869e-02 0 6.404946e-03 6.770815e-02
## 1655 5 13 14 2.8915338 5.389031e-01 0 5.289578e-01 3.560720e-01
## 1656 5 13 14 6.0681644 1.668325e-01 0 6.935323e-01 3.409098e-01
## 1657 5 13 14 7.7488773 2.672466e-01 0 6.285634e-01 7.849565e-02
## 1658 5 13 14 5.7510788 1.735441e-01 0 7.840523e-01 3.436264e-01
## 1659 5 13 14 3.2914769 9.694366e-01 0 8.414427e-01 3.629203e-01
## 1660 5 13 14 169.6756544 1.018875e-01 0 2.693781e-02 7.020849e-02
## 1661 5 13 14 6.6018236 6.665843e-01 0 2.680957e-01 6.900316e-01
## 1662 5 13 14 14.8057033 1.215543e-01 0 6.691823e-02 2.534121e-01
## 1663 5 13 14 5.0353097 8.848411e-01 0 3.605705e-01 2.380709e-02
## 1664 5 13 14 5.9769556 1.976936e-01 0 8.997974e-01 2.612583e-01
## 1665 5 13 14 7.4715135 9.612993e-01 0 7.490069e-01 4.365116e-01
## 1666 5 13 14 158.6983689 9.297535e-02 0 1.637715e-02 7.123615e-02
## 1667 5 13 14 4.2127327 5.962459e-01 0 5.257384e-01 2.301014e-01
## 1668 5 13 14 6.7186715 1.545766e-01 0 5.450513e-01 3.637885e-01
## 1669 5 13 14 5.0744706 4.956820e-01 0 6.201241e-01 7.417231e-01
## 1670 5 13 14 5.2670776 1.870310e-01 0 9.282781e-01 3.282165e-01
## 1671 5 13 14 6.4804927 8.842460e-01 0 3.409237e-01 6.722729e-01
## 1672 5 13 14 19.1814699 1.476733e-01 0 8.092099e-01 9.223135e-02
## 1673 5 13 14 7.2172047 1.756727e-01 0 6.437453e-01 2.299638e-01
## 1674 5 13 14 7.9372183 5.554252e-02 0 6.287244e-01 9.974141e-01
## 1675 5 13 14 5.3382662 4.022057e-01 0 5.881607e-01 8.495562e-01
## 1676 5 13 14 2.9314785 1.566604e-01 0 9.174258e-01 8.042295e-01
## 1677 5 13 14 6.1797579 9.947970e-01 0 1.777753e-01 3.127535e-01
## 1678 5 13 14 16.2551679 9.991299e-01 0 1.469369e-01 2.174589e-01
## 1679 5 13 14 5.5767356 4.623991e-01 0 8.856418e-01 8.480784e-01
## 1680 5 13 14 2.8480982 1.425286e-01 0 9.354426e-01 9.389047e-01
## 1681 5 13 14 4.8402205 9.427961e-02 0 4.226658e-01 3.134366e-01
## 1682 5 13 14 4.2387728 1.067022e-01 0 7.964089e-02 9.828346e-01
## 1683 5 13 14 3.7614620 2.756555e-01 0 2.261134e-01 3.569254e-01
## 1684 5 13 14 4.1932230 1.452244e-01 0 6.538622e-01 6.345007e-01
## 1685 5 13 14 2.6233738 4.460815e-01 0 3.091524e-01 3.680954e-02
## 1686 5 13 14 6.7512961 1.755290e-01 0 6.564054e-01 2.985184e-01
## 1687 5 13 14 7.5020269 7.064596e-01 0 9.393701e-01 8.514842e-01
## 1688 5 13 14 23.2039857 1.098765e-01 0 8.228475e-01 1.132958e-01
## 1689 5 13 14 4.7810952 3.225038e-01 0 6.545454e-02 4.801841e-01
## 1690 5 13 14 6.5855363 1.894984e-01 0 7.668834e-01 2.573761e-01
## 1691 5 13 14 2.2522649 1.901701e-01 0 2.474440e-01 2.108177e-01
## 1692 5 13 14 3.6553971 1.561441e-01 0 8.920904e-01 6.448962e-01
## 1693 5 13 14 4.8058110 7.377289e-01 0 1.417010e-02 3.607628e-01
## 1694 5 13 14 9.6547300 1.126814e-01 0 3.990392e-02 4.136001e-01
## 1695 5 13 14 3.6113597 9.797107e-01 0 4.330948e-01 3.207688e-01
## 1696 5 13 14 7.9408891 1.654104e-01 0 4.882127e-01 2.847403e-01
## 1697 5 13 14 5.0845169 6.840458e-01 0 5.649203e-01 5.921303e-01
## 1698 5 13 14 2.9565326 1.446436e-01 0 9.234510e-01 8.774617e-01
## 1699 5 13 14 5.1787748 6.050339e-01 0 8.686344e-02 1.759125e-01
## 1700 5 13 14 7.4518339 1.117785e-01 0 6.258574e-02 5.417482e-01
## 1701 5 13 14 5.1340106 8.305978e-01 0 7.958121e-01 6.689497e-01
## 1702 5 13 14 13.1788459 1.011344e-01 0 8.578877e-01 2.291552e-01
## 1703 5 13 14 3.9921500 5.256754e-01 0 3.077538e-01 8.827804e-01
## 1704 5 13 14 6.9588085 1.422949e-01 0 4.011429e-01 3.995168e-01
## 1705 5 13 14 7.8325275 3.631473e-01 0 6.311473e-01 3.472494e-01
## 1706 5 13 14 6.0647934 1.823032e-01 0 7.918402e-01 2.943889e-01
## 1707 5 13 14 4.8712321 7.353580e-01 0 9.343290e-01 4.339809e-01
## 1708 5 13 14 4.3492224 1.391821e-01 0 7.515973e-01 6.424602e-01
## 1709 5 13 14 6.1861253 1.417123e-01 0 7.686141e-01 3.111436e-01
## 1710 5 13 14 4.7784148 1.704479e-01 0 8.638381e-01 4.017915e-01
## 1711 5 13 14 6.6436739 4.549361e-01 0 9.677958e-01 2.442944e-01
## 1712 5 13 14 4.8137839 1.768343e-01 0 9.733624e-01 3.676350e-01
## 1713 5 13 14 4.3141849 4.230047e-01 0 6.412860e-01 4.068878e-01
## 1714 5 13 14 3.7502969 1.412053e-01 0 7.911233e-01 7.470782e-01
## 1715 5 13 14 2.0366482 2.928181e-01 0 6.521557e-01 7.583263e-01
## 1716 5 13 14 5.2346704 1.940906e-01 0 9.410474e-01 3.013615e-01
## 1717 5 13 14 4.4672008 7.952410e-01 0 8.203145e-01 8.723941e-01
## 1718 5 13 14 3.5487537 1.182315e-01 0 6.436612e-01 9.595243e-01
## 1719 5 13 14 6.6999357 8.271503e-01 0 5.215975e-01 9.519867e-01
## 1720 5 13 14 7.5741996 5.160515e-02 0 7.864272e-01 9.824617e-01
## 1721 5 13 14 3.3508224 5.296546e-02 0 1.613512e-01 9.974268e-01
## 1722 5 13 14 2.5357150 1.574340e-01 0 5.843341e-01 9.987076e-01
## 1723 5 13 14 5.9135203 8.695576e-01 0 5.426991e-01 6.631216e-01
## 1724 5 13 14 158.6933369 8.687899e-02 0 2.291768e-02 7.249880e-02
## 1725 5 13 14 4.9571816 9.152226e-01 0 7.868181e-01 3.559627e-01
## 1726 5 13 14 16.3380481 1.716102e-01 0 9.603861e-01 8.785723e-02
## 1727 5 13 14 6.1823917 7.915814e-01 0 8.888130e-02 6.974750e-01
## 1728 5 13 14 5.4348384 1.233446e-01 0 9.967155e-02 6.695728e-01
## 1729 5 13 14 2.5633468 8.080594e-01 0 8.154812e-01 6.993079e-01
## 1730 5 13 14 14.7337890 4.873987e-02 0 7.809361e-01 4.749228e-01
## 1731 5 13 14 6.8554620 4.875160e-01 0 8.945402e-02 7.087847e-01
## 1732 5 13 14 8.3603293 1.206679e-01 0 3.237162e-02 4.576617e-01
## 1733 5 13 14 3.4779065 4.030918e-01 0 8.038161e-01 7.735988e-01
## 1734 5 13 14 4.1418675 1.390789e-01 0 7.520649e-01 6.712113e-01
## 1735 5 13 14 6.8502617 2.334502e-01 0 5.153925e-01 6.718497e-01
## 1736 5 13 14 171.4087940 9.406467e-02 0 7.926072e-03 7.005544e-02
## 1737 5 13 14 3.8536871 1.708449e-01 0 5.426041e-01 8.619063e-01
## 1738 5 13 14 4.3741572 1.607696e-01 0 7.822395e-01 5.086839e-01
## 1739 5 13 14 3.8336353 1.521650e-01 0 3.678939e-01 1.665954e-02
## 1740 5 13 14 5.4569071 1.934905e-01 0 9.748700e-01 2.765595e-01
## 1741 5 13 14 6.4360823 1.796450e-01 0 5.446039e-01 1.451762e-01
## 1742 5 13 14 4.6220295 1.152867e-01 0 1.117668e-01 8.082789e-01
## 1743 5 13 14 6.3576446 1.859079e-01 0 4.008882e-01 6.925371e-01
## 1744 5 13 14 3.0416955 1.323161e-01 0 7.607994e-01 9.871743e-01
## 1745 5 13 14 2.7620881 5.921732e-01 0 7.218487e-01 3.840276e-01
## 1746 5 13 14 3.5027577 1.427661e-01 0 8.672838e-01 7.606727e-01
## 1747 5 13 14 7.0965535 9.559350e-01 0 2.163873e-01 8.531493e-01
## 1748 5 13 14 5.6944167 1.162262e-01 0 8.345636e-01 6.625449e-01
## 1749 5 13 14 6.6725938 6.879692e-01 0 6.694436e-01 9.378504e-01
## 1750 5 13 14 3.3609924 1.556392e-01 0 6.832042e-01 7.224740e-01
## 1751 5 13 14 5.0521265 4.173991e-01 0 9.535192e-02 8.864072e-01
## 1752 5 13 14 5.3458974 1.759928e-01 0 8.400564e-01 3.490264e-01
## 1753 5 13 14 6.7860882 6.343899e-01 0 8.089700e-01 9.945241e-01
## 1754 5 13 14 2.7417758 1.406588e-01 0 9.481835e-01 9.931447e-01
## 1755 5 13 14 6.1164597 7.757507e-01 0 4.018382e-01 6.669083e-01
## 1756 5 13 14 202.7687426 8.442046e-02 0 8.490004e-03 7.101544e-02
## 1757 5 13 14 2.6267776 7.924681e-02 0 4.802177e-01 8.451971e-01
## 1758 5 13 14 4.1070018 1.284443e-01 0 4.837434e-01 7.796068e-01
## 1759 5 13 14 2.2782919 8.404715e-01 0 9.147193e-01 4.840057e-01
## 1760 5 13 14 3.6031643 1.660081e-01 0 9.501592e-01 5.686844e-01
## 1761 5 13 14 7.1438412 8.294297e-01 0 2.139583e-01 4.115929e-01
## 1762 5 13 14 185.0028373 9.523486e-02 0 1.842693e-03 7.317654e-02
## 1763 5 13 14 6.5233863 6.664805e-01 0 5.004514e-01 7.742577e-01
## 1764 5 13 14 3.4670316 1.549136e-01 0 5.865996e-01 7.477823e-01
## 1765 5 13 14 3.6174246 2.659761e-01 0 9.560575e-01 8.560538e-01
## 1766 5 13 14 4.6677845 1.905328e-01 0 9.851615e-01 3.430487e-01
## 1767 5 13 14 5.6109783 8.508508e-01 0 3.293165e-01 3.854995e-01
## 1768 5 13 14 187.7813155 9.290418e-02 0 5.541833e-03 7.139678e-02
## 1769 5 13 14 3.8847316 9.132847e-01 0 3.940368e-01 4.724287e-01
## 1770 5 13 14 23.4393283 5.227397e-02 0 5.801779e-01 2.785801e-01
## 1771 5 13 14 2.7047120 2.576193e-01 0 9.571355e-01 4.902270e-01
## 1772 5 13 14 3.8735592 1.735361e-01 0 9.908906e-01 5.109541e-01
## 1773 5 13 14 5.6622805 7.401747e-01 0 5.153153e-01 2.606402e-01
## 1774 5 13 14 6.6148451 1.408609e-01 0 4.155237e-01 4.143848e-01
## 1775 5 13 14 3.3280363 1.229484e-01 0 1.830699e-01 4.677703e-01
## 1776 5 13 14 6.4743026 1.250568e-01 0 1.539727e-01 5.447420e-01
## 1777 5 13 14 7.2058826 8.735864e-01 0 3.239408e-01 9.768749e-01
## 1778 5 13 14 9.3860119 5.360743e-02 0 2.314192e-01 8.649645e-01
## 1779 5 13 14 7.2254634 9.787103e-01 0 7.367169e-01 3.776818e-01
## 1780 5 13 14 68.3145590 8.515609e-02 0 2.269217e-01 9.377960e-02
## 1781 5 13 14 3.1058899 3.946144e-01 0 1.914769e-01 6.688432e-01
## 1782 5 13 14 5.5219308 1.265947e-01 0 2.598282e-01 5.913798e-01
## 1783 5 13 14 7.0085214 8.976014e-01 0 5.866060e-01 5.731361e-01
## 1784 5 13 14 179.2363224 1.014086e-01 0 1.752093e-02 6.734412e-02
## 1785 5 13 14 6.3738821 5.652137e-01 0 4.651950e-01 6.934882e-02
## 1786 5 13 14 4.6506875 1.756842e-01 0 9.260278e-01 4.063864e-01
## 1787 5 13 14 7.8930322 7.475548e-01 0 5.361852e-02 3.250205e-01
## 1788 5 13 14 206.1105376 8.794585e-02 0 5.834196e-03 6.959527e-02
## 1789 5 13 14 4.4439011 4.360582e-02 0 5.058450e-02 4.679917e-01
## 1790 5 13 14 6.3089930 1.639541e-01 0 6.269401e-01 3.459224e-01
## 1791 5 13 14 3.1019643 3.001749e-01 0 6.562132e-01 3.860006e-01
## 1792 5 13 14 4.0890540 1.633574e-01 0 8.654160e-01 5.307790e-01
## 1793 5 13 14 3.3291566 6.488312e-01 0 5.604808e-01 6.264847e-01
## 1794 5 13 14 3.0071389 1.619468e-01 0 6.800984e-01 8.124577e-01
## 1795 5 13 14 3.1248213 9.761147e-01 0 7.118023e-01 2.331530e-01
## 1796 5 13 14 158.5024245 1.033630e-01 0 1.828993e-02 6.745946e-02
## 1797 5 13 14 5.0188866 4.766868e-01 0 9.017891e-01 6.491095e-01
## 1798 5 13 14 3.5161125 1.477871e-01 0 6.029209e-01 7.603325e-01
## 1799 5 13 14 3.1003057 7.479052e-01 0 6.971309e-01 3.948305e-01
## 1800 5 13 14 4.5059703 1.402475e-01 0 5.937136e-01 6.206037e-01
## 1801 5 13 14 2.5421089 6.823090e-01 0 1.302094e-01 7.435204e-01
## 1802 5 13 14 4.0417970 1.143357e-01 0 1.349991e-01 9.505163e-01
## 1803 5 13 14 7.2856422 6.851389e-01 0 7.268297e-01 3.887458e-01
## 1804 5 13 14 188.3327691 1.065749e-01 0 7.551310e-03 6.397176e-02
## 1805 5 13 14 5.6582728 8.048308e-01 0 8.416206e-03 1.842743e-01
## 1806 5 13 14 109.3198734 5.397562e-02 0 3.431481e-03 1.107377e-01
## 1807 5 13 14 3.2363331 5.099106e-01 0 9.382612e-02 9.672432e-01
## 1808 5 13 14 3.8097948 1.203900e-01 0 2.555762e-01 9.285617e-01
## 1809 5 13 14 4.5956513 8.954516e-02 0 8.474235e-01 2.714605e-01
## 1810 5 13 14 9.5320492 3.990845e-02 0 9.162597e-01 9.313836e-01
## 1811 5 13 14 4.0601527 4.773056e-01 0 3.000757e-01 2.015513e-01
## 1812 5 13 14 3.9609991 1.146706e-01 0 6.180852e-02 9.620373e-01
## 1813 5 13 14 3.4529343 2.705283e-01 0 3.162664e-02 8.002934e-01
## 1814 5 13 14 4.6868682 1.097617e-01 0 8.843291e-02 8.568707e-01
## 1815 5 13 14 2.7742927 9.492952e-01 0 3.079551e-01 6.867332e-01
## 1816 5 13 14 170.9162357 9.913081e-02 0 1.768028e-02 7.070557e-02
## 1817 5 13 14 3.3300683 5.793991e-01 0 7.634114e-01 5.700821e-01
## 1818 5 13 14 3.1419826 1.584409e-01 0 9.655263e-01 7.388609e-01
## 1819 5 13 14 6.7087570 8.756164e-01 0 5.307318e-01 2.171145e-01
## 1820 5 13 14 178.0450805 9.827965e-02 0 1.596601e-02 6.631306e-02
## 1821 5 13 14 4.9741200 9.099207e-01 0 8.456302e-01 5.190362e-01
## 1822 5 13 14 31.7440986 1.481734e-01 0 4.701977e-01 8.396278e-02
## 1823 5 13 14 5.4214681 7.164087e-01 0 5.947148e-01 2.862351e-02
## 1824 5 13 14 68.0061831 4.745416e-02 0 8.616458e-02 1.581810e-01
## 1825 5 13 14 5.2966363 5.301004e-02 0 8.665262e-01 2.290845e-01
## 1826 5 13 14 2.9857552 1.442182e-01 0 9.771075e-01 8.901969e-01
## 1827 5 13 14 3.2065685 2.371988e-01 0 9.607643e-01 4.268695e-01
## 1828 5 13 14 3.4245116 1.500285e-01 0 8.256513e-01 7.263360e-01
## 1829 5 13 14 7.7990026 3.824229e-01 0 2.330773e-02 4.138660e-01
## 1830 5 13 14 10.7788324 1.293858e-01 0 1.143817e-01 3.309636e-01
## 1831 5 13 14 7.1397394 7.626887e-01 0 2.580509e-01 3.691405e-01
## 1832 5 13 14 223.4723493 8.715189e-02 0 4.224100e-03 6.740664e-02
## 1833 5 13 14 2.6195877 4.730898e-01 0 1.337784e-01 1.432842e-01
## 1834 5 13 14 6.0094392 1.264192e-01 0 1.569622e-01 5.787571e-01
## 1835 5 13 14 7.8228626 9.948447e-01 0 6.264213e-02 7.610123e-01
## 1836 5 13 14 22.4303147 9.801079e-01 0 3.652563e-02 2.342290e-01
## 1837 5 13 14 2.1179223 8.351759e-01 0 8.611222e-01 1.234970e-01
## 1838 5 13 14 18.7270187 1.603017e-01 0 8.992120e-01 8.923656e-02
## 1839 5 13 14 4.6429325 4.546750e-01 0 3.784934e-01 7.072223e-01
## 1840 5 13 14 5.2795971 1.167279e-01 0 7.192848e-02 7.141090e-01
## 1841 5 13 14 4.1983062 1.850310e-02 0 9.828391e-01 9.857296e-01
## 1842 5 13 14 2.3684432 1.669370e-01 0 9.895460e-01 9.378181e-01
## 1843 5 13 14 2.9766037 6.041270e-01 0 9.227575e-01 1.373667e-01
## 1844 5 13 14 3.2396357 1.553062e-01 0 9.899246e-01 7.380965e-01
## 1845 5 13 14 5.1709799 2.068886e-01 0 5.089343e-01 9.928914e-01
## 1846 5 13 14 1.8905604 2.095365e-01 0 6.562452e-01 9.915478e-01
## 1847 5 13 14 2.7402102 3.317419e-01 0 8.728034e-01 2.157686e-01
## 1848 5 13 14 3.5917271 1.552553e-01 0 9.050537e-01 6.335389e-01
## 1849 5 13 14 4.0462041 6.087822e-01 0 8.813469e-02 7.129258e-01
## 1850 5 13 14 5.8692765 1.188785e-01 0 8.598782e-02 6.466278e-01
## 1851 5 13 14 5.5675027 8.132635e-01 0 3.214394e-01 1.274011e-01
## 1852 5 13 14 9.7482922 5.326090e-02 0 5.222809e-01 8.186001e-01
## 1853 5 13 14 6.1061391 2.669269e-01 0 7.347473e-01 9.763247e-01
## 1854 5 13 14 1.9892666 2.089221e-01 0 9.851460e-01 9.186553e-01
## 1855 5 13 14 4.1109306 7.316677e-01 0 7.563291e-01 1.509283e-02
## 1856 5 13 14 48.7908142 3.783303e-02 0 6.773710e-02 2.435158e-01
## 1857 5 13 14 3.3510888 5.971950e-01 0 5.836941e-01 8.154645e-01
## 1858 5 13 14 4.9802521 1.711817e-01 0 7.681961e-01 4.123682e-01
## 1859 5 13 14 2.7008733 5.837243e-01 0 6.684054e-01 1.992150e-01
## 1860 5 13 14 3.8981991 1.631911e-01 0 8.139195e-01 5.906952e-01
## 1861 5 13 14 4.7026940 8.961378e-01 0 4.781826e-01 7.150565e-01
## 1862 5 13 14 188.3572014 8.837658e-02 0 1.065968e-02 7.131830e-02
## 1863 5 13 14 2.8208763 4.578979e-01 0 2.158798e-01 6.643274e-01
## 1864 5 13 14 6.4414355 1.100001e-01 0 2.611108e-02 6.357170e-01
## 1865 5 13 14 4.3948597 4.245342e-01 0 2.361652e-01 9.204292e-02
## 1866 5 13 14 4.7989017 1.754964e-01 0 9.244315e-01 3.987889e-01
## 1867 5 13 14 4.9422571 3.081929e-01 0 1.811467e-01 4.588862e-01
## 1868 5 13 14 4.7498722 1.261768e-01 0 2.914954e-01 7.061948e-01
## 1869 5 13 14 6.9460761 7.607903e-01 0 2.339247e-01 1.711962e-01
## 1870 5 13 14 203.0097181 8.503730e-02 0 6.759433e-03 7.064331e-02
## 1871 5 13 14 6.5914783 3.776551e-01 0 1.368229e-01 4.693430e-01
## 1872 5 13 14 4.7109366 9.567119e-02 0 5.149487e-02 9.806805e-01
## 1873 5 13 14 5.8391592 9.148600e-01 0 1.784811e-01 1.127139e-01
## 1874 5 13 14 188.6481820 8.610658e-02 0 2.212057e-02 6.938727e-02
## 1875 5 13 14 7.6670404 9.556836e-01 0 8.199735e-01 7.758847e-01
## 1876 5 13 14 24.1767688 7.881360e-02 0 9.186978e-01 1.395717e-01
## 1877 5 13 14 3.9812073 6.005154e-01 0 5.516463e-01 4.965879e-01
## 1878 5 13 14 3.1151890 1.343792e-01 0 5.277276e-01 9.779764e-01
## 1879 5 13 14 5.2021711 7.352387e-02 0 2.081369e-01 6.375477e-01
## 1880 5 13 14 5.7203274 1.236680e-01 0 2.485425e-01 6.156745e-01
## 1881 5 13 14 6.3668634 5.600601e-01 0 7.460810e-01 2.684575e-01
## 1882 5 13 14 5.3319400 1.680140e-01 0 8.971197e-01 3.730142e-01
## 1883 5 13 14 4.6855452 9.736404e-01 0 7.655785e-01 7.972642e-01
## 1884 5 13 14 15.6970745 8.546300e-01 0 2.579503e-01 3.022872e-01
## 1885 5 13 14 2.7238715 7.226168e-02 0 8.755176e-01 9.840748e-01
## 1886 5 13 14 2.4163982 1.636384e-01 0 9.705726e-01 9.765572e-01
## 1887 5 13 14 5.5380017 2.001367e-01 0 8.813912e-01 2.846561e-01
## 1888 5 13 14 5.0439290 1.135566e-01 0 1.776107e-01 7.472866e-01
## 1889 5 13 14 3.5323672 3.263959e-01 0 3.341721e-01 5.347228e-01
## 1890 5 13 14 14.3762274 1.074525e-01 0 7.037417e-01 2.746340e-01
## 1891 5 13 14 3.7091005 9.802862e-01 0 2.652406e-01 3.257276e-01
## 1892 5 13 14 14.3848199 1.178932e-01 0 8.863105e-01 1.573257e-01
## 1893 5 13 14 4.8095051 6.394062e-01 0 8.502680e-01 6.573399e-01
## 1894 5 13 14 19.9050902 1.458207e-01 0 8.133406e-01 9.515042e-02
## 1895 5 13 14 3.5207791 3.851792e-01 0 8.662325e-01 2.618317e-01
## 1896 5 13 14 4.2981735 1.682542e-01 0 9.324103e-01 4.692621e-01
## 1897 5 13 14 5.4540801 1.930101e-02 0 7.697086e-01 6.773811e-02
## 1898 5 13 14 20.1162002 1.185670e-01 0 7.298349e-01 1.173883e-01
## 1899 5 13 14 2.5948803 5.559087e-02 0 4.987038e-01 3.088531e-02
## 1900 5 13 14 196.8601608 9.103758e-02 0 5.473644e-03 6.894794e-02
## 1901 5 13 14 7.2642037 8.000795e-01 0 8.987173e-01 4.084109e-01
## 1902 5 13 14 107.8040801 9.178905e-02 0 6.655992e-02 7.674468e-02
## 1903 5 13 14 6.9821257 9.115228e-01 0 8.807696e-01 1.578602e-01
## 1904 5 13 14 175.7140455 9.206677e-02 0 9.458388e-03 6.874270e-02
## 1905 5 13 14 4.1327264 2.729129e-01 0 7.373972e-01 6.421393e-01
## 1906 5 13 14 3.1530588 1.389211e-01 0 8.922409e-01 8.758452e-01
## 1907 5 13 14 3.0256768 4.837500e-01 0 9.964627e-01 4.207971e-02
## 1908 5 13 14 4.6071257 1.727143e-01 0 9.913901e-01 4.161498e-01
## 1909 5 13 14 2.2182248 6.362860e-01 0 6.029696e-01 7.716973e-01
## 1910 5 13 14 6.3208851 1.775436e-01 0 6.773410e-01 3.088298e-01
## 1911 5 13 14 7.2873218 7.224221e-01 0 4.533112e-01 6.737954e-01
## 1912 5 13 14 4.5414844 1.675030e-01 0 6.660137e-01 4.861904e-01
## 1913 5 13 14 3.3786411 6.361718e-01 0 8.556789e-01 5.098243e-01
## 1914 5 13 14 5.4480927 1.676464e-01 0 7.882134e-01 3.774368e-01
## 1915 5 13 14 4.8061617 1.690167e-01 0 6.790224e-01 5.730161e-01
## 1916 5 13 14 4.3074207 1.354201e-01 0 6.123048e-01 6.662312e-01
## 1917 5 13 14 7.9253194 2.501086e-01 0 1.480416e-01 3.300970e-01
## 1918 5 13 14 3.2352377 1.485134e-01 0 7.433717e-01 8.008022e-01
## 1919 5 13 14 4.5095934 5.155319e-02 0 9.722169e-01 1.494909e-01
## 1920 5 13 14 3.4730502 1.147107e-01 0 9.775441e-01 9.768521e-01
## 1921 5 13 14 4.6102029 5.973985e-01 0 2.380145e-01 6.819532e-01
## 1922 5 13 14 9.0719603 1.284614e-01 0 1.375842e-01 3.705298e-01
## 1923 5 13 14 5.9182479 8.941853e-01 0 5.810345e-02 2.586666e-01
## 1924 5 13 14 56.8459921 6.367197e-02 0 8.787803e-02 1.355868e-01
## 1925 5 13 14 7.1414157 6.631869e-01 0 9.333459e-01 6.575521e-02
## 1926 5 13 14 13.6875266 1.137457e-01 0 9.371358e-01 1.628741e-01
## 1927 5 13 14 5.4362122 3.901432e-01 0 7.048195e-01 2.096640e-01
## 1928 5 13 14 3.5297184 1.364640e-01 0 5.994216e-01 8.345822e-01
## 1929 5 13 14 7.9518212 7.959967e-01 0 2.956645e-01 9.082055e-01
## 1930 5 13 14 181.3308538 8.495356e-02 0 1.438621e-02 7.097763e-02
## 1931 5 13 14 5.7298679 3.013134e-01 0 9.320180e-01 8.662068e-01
## 1932 5 13 14 3.6657519 1.133685e-01 0 5.260899e-01 9.882377e-01
## 1933 5 13 14 5.6131916 5.743012e-01 0 8.842454e-01 7.341134e-01
## 1934 5 13 14 3.9355720 1.490666e-01 0 9.104262e-01 6.288398e-01
## 1935 5 13 14 7.9515899 1.890681e-01 0 8.889112e-01 7.092918e-01
## 1936 5 13 14 5.1838245 1.835175e-01 0 9.343186e-01 3.193213e-01
## 1937 5 13 14 5.8767984 1.761109e-01 0 5.652219e-01 3.902997e-01
## 1938 5 13 14 6.8203539 1.948161e-01 0 7.764967e-01 2.447492e-01
## 1939 5 13 14 7.5932891 3.005192e-01 0 1.504283e-01 1.964877e-01
## 1940 5 13 14 6.7643493 1.691369e-01 0 5.376276e-01 3.187643e-01
## 1941 5 13 14 4.3938513 7.886573e-01 0 1.281874e-01 1.073554e-01
## 1942 5 13 14 8.2875039 1.738446e-01 0 5.333411e-01 2.420330e-01
## 1943 5 13 14 6.6543005 2.713870e-01 0 4.542646e-03 7.300080e-01
## 1944 5 13 14 12.2662589 1.190304e-01 0 6.669194e-04 3.225790e-01
## 1945 5 13 14 7.2381112 7.772226e-01 0 7.488861e-01 6.746895e-01
## 1946 5 13 14 128.0942730 6.313473e-02 0 3.748573e-02 8.948695e-02
## 1947 5 13 14 6.9485848 7.625363e-01 0 8.924084e-01 4.728979e-01
## 1948 5 13 14 168.3555138 5.656440e-02 0 1.196186e-02 9.231972e-02
## 1949 5 13 14 5.1889435 5.247702e-02 0 8.519170e-01 6.576402e-01
## 1950 5 13 14 3.4718613 1.450993e-01 0 9.440426e-01 7.597888e-01
## 1951 5 13 14 4.5817434 6.130387e-01 0 6.012572e-01 8.552340e-01
## 1952 5 13 14 2.7247158 1.480973e-01 0 9.497266e-01 9.312284e-01
## 1953 5 13 14 7.5514081 7.852937e-01 0 2.480605e-01 3.383328e-01
## 1954 5 13 14 4.2586339 1.154206e-01 0 6.911555e-02 9.101074e-01
## 1955 5 13 14 6.3807168 9.760526e-01 0 6.183984e-02 7.294159e-01
## 1956 5 13 14 175.9810979 7.435435e-02 0 4.316538e-03 7.859679e-02
## 1957 5 13 14 6.9402735 7.584762e-01 0 5.377672e-01 3.631652e-01
## 1958 5 13 14 4.9347869 1.274005e-01 0 3.724800e-01 6.559171e-01
## 1959 5 13 14 7.5397474 4.300469e-01 0 9.654290e-01 6.021100e-02
## 1960 5 13 14 5.6844373 2.124846e-01 0 9.682724e-01 2.409409e-01
## 1961 5 13 14 7.7468207 1.173122e-01 0 2.096998e-01 5.984011e-01
## 1962 5 13 14 4.1842658 1.655819e-01 0 8.713421e-01 5.229180e-01
## 1963 5 13 14 2.9278330 1.672295e-01 0 7.246770e-01 2.209706e-01
## 1964 5 13 14 5.4390335 1.888395e-01 0 9.151064e-01 2.921056e-01
## 1965 5 13 14 6.5474071 1.619302e-01 0 6.305103e-01 9.520368e-01
## 1966 5 13 14 3.5546477 1.170242e-01 0 5.307359e-01 9.964328e-01
## 1967 5 13 14 6.2197188 3.390120e-01 0 8.055753e-01 6.499286e-01
## 1968 5 13 14 4.2261007 1.741118e-01 0 9.698662e-01 4.507824e-01
## 1969 5 13 14 6.0040004 7.482394e-01 0 7.048749e-01 8.178298e-01
## 1970 5 13 14 5.5363436 1.880286e-01 0 8.815817e-01 3.056189e-01
## 1971 5 13 14 5.2766213 9.758292e-01 0 5.493021e-01 7.539188e-01
## 1972 5 13 14 4.2381348 1.709806e-01 0 9.017276e-01 4.721961e-01
## 1973 5 13 14 5.5626777 3.779647e-01 0 5.464932e-02 4.027013e-01
## 1974 5 13 14 9.4838434 1.283655e-01 0 1.191814e-01 3.645892e-01
## 1975 5 13 14 7.3465930 2.509025e-01 0 8.942465e-01 9.729392e-01
## 1976 5 13 14 4.4403131 1.710545e-01 0 9.519839e-01 4.330082e-01
## 1977 5 13 14 7.9665109 7.827912e-01 0 7.267937e-01 5.505488e-01
## 1978 5 13 14 4.9818887 1.945980e-01 0 9.572914e-01 3.104490e-01
## 1979 5 13 14 4.7506838 3.849519e-01 0 6.173523e-01 7.214592e-01
## 1980 5 13 14 5.1874941 1.723583e-01 0 8.424864e-01 3.787776e-01
## 1981 5 13 14 6.3073236 6.462223e-01 0 8.265558e-01 4.587424e-01
## 1982 5 13 14 3.5155157 1.458838e-01 0 9.255743e-01 7.148807e-01
## 1983 5 13 14 3.4222448 1.054621e-01 0 6.651783e-01 8.050890e-02
## 1984 5 13 14 3.0670721 1.487618e-01 0 9.533343e-01 8.361278e-01
## 1985 5 13 14 2.3539975 2.437279e-01 0 2.409587e-01 3.086342e-01
## 1986 5 13 14 4.0222790 1.227967e-01 0 2.517157e-01 8.559541e-01
## 1987 5 13 14 5.2227175 3.917204e-01 0 9.240130e-02 5.329933e-01
## 1988 5 13 14 3.1726582 1.406180e-01 0 7.361670e-01 8.831316e-01
## 1989 5 13 14 3.7332293 7.614047e-01 0 5.301450e-01 3.642608e-01
## 1990 5 13 14 3.8581206 1.624873e-01 0 9.374535e-01 5.429850e-01
## 1991 5 13 14 7.5739133 8.646620e-01 0 8.082341e-01 7.555026e-01
## 1992 5 13 14 3.8462760 1.685124e-01 0 9.761181e-01 5.456910e-01
## 1993 5 13 14 4.2867342 7.128224e-01 0 7.867555e-01 9.100872e-02
## 1994 5 13 14 162.2711537 6.739366e-02 0 1.420393e-02 8.859469e-02
## 1995 5 13 14 6.7527658 9.690788e-01 0 5.900210e-02 8.166162e-01
## 1996 5 13 14 137.7139152 1.194224e-01 0 4.495318e-02 7.270520e-02
## 1997 5 13 14 4.1791866 9.054999e-01 0 3.449977e-01 8.608663e-01
## 1998 5 13 14 5.2104600 1.865415e-01 0 9.600876e-01 3.202782e-01
## 1999 5 13 14 2.3902368 9.943912e-01 0 3.514550e-01 1.320987e-01
## 2000 5 13 14 10.7307564 9.973021e-01 0 7.297175e-01 1.915548e-01
## 2001 5 13 14 5.5958212 5.260444e-01 0 4.392470e-01 3.604121e-01
## 2002 5 13 14 3.6497061 1.138690e-01 0 6.275394e-01 9.890614e-01
## 2003 5 13 14 3.8729469 4.084080e-01 0 6.394033e-01 5.207812e-01
## 2004 5 13 14 3.6249572 1.492596e-01 0 9.412346e-01 6.879003e-01
## 2005 5 13 14 6.2040640 4.730189e-01 0 2.250753e-01 5.883596e-01
## 2006 5 13 14 4.0645168 1.123244e-01 0 2.583128e-01 9.535611e-01
## 2007 5 13 14 7.0764548 5.708825e-01 0 1.022978e-02 6.641761e-01
## 2008 5 13 14 15.9495315 1.180163e-01 0 9.946034e-04 2.659318e-01
## 2009 5 13 14 4.2995038 7.249370e-01 0 3.143909e-02 2.526626e-01
## 2010 5 13 14 14.7993181 1.166597e-01 0 1.933825e-02 2.739947e-01
## 2011 5 13 14 3.3224008 3.643171e-01 0 9.996130e-01 1.117370e-01
## 2012 5 13 14 5.1778176 1.953414e-01 0 9.992237e-01 2.898077e-01
## 2013 5 13 14 2.5236228 5.444224e-01 0 8.981795e-01 9.294231e-01
## 2014 5 13 14 5.0910786 1.724794e-01 0 9.259153e-01 3.668598e-01
## 2015 5 13 14 5.7733949 4.185499e-01 0 4.659747e-01 4.737132e-01
## 2016 5 13 14 5.4986840 1.898734e-01 0 8.309445e-01 2.986810e-01
## 2017 5 13 14 7.2670407 4.302332e-01 0 8.294308e-01 7.903307e-01
## 2018 5 13 14 4.1065118 1.044420e-01 0 4.150642e-01 9.777316e-01
## 2019 5 13 14 3.4783298 8.511953e-01 0 7.656047e-01 9.085633e-02
## 2020 5 13 14 51.0227288 6.859810e-02 0 1.837338e-01 1.269726e-01
## 2021 5 13 14 2.5646215 9.066025e-01 0 6.328239e-01 5.600895e-01
## 2022 5 13 14 154.9176101 6.297155e-02 0 2.074928e-02 8.588851e-02
## 2023 5 13 14 2.2568915 1.329838e-01 0 5.717764e-01 4.711383e-01
## 2024 5 13 14 4.0219678 1.653738e-01 0 8.714609e-01 5.405864e-01
## 2025 5 13 14 7.4935162 8.496974e-01 0 3.511268e-02 6.449049e-01
## 2026 5 13 14 179.6477575 9.083338e-02 0 2.891267e-03 6.728907e-02
## 2027 5 13 14 6.5081635 7.221654e-01 0 7.490791e-01 6.484618e-01
## 2028 5 13 14 196.4803751 7.110664e-02 0 5.253810e-03 7.879785e-02
## 2029 5 13 14 7.3225025 1.961987e-01 0 2.760602e-01 2.283800e-01
## 2030 5 13 14 4.7101753 1.306404e-01 0 2.471423e-01 6.862931e-01
## 2031 5 13 14 4.8762510 9.050336e-01 0 3.253101e-02 7.176200e-01
## 2032 5 13 14 192.1795795 8.981595e-02 0 1.795354e-03 7.163177e-02
## 2033 5 13 14 6.2419555 5.637697e-01 0 5.109320e-02 2.725123e-01
## 2034 5 13 14 11.3883299 1.257505e-01 0 5.865625e-02 3.219502e-01
## 2035 5 13 14 4.3503235 1.515200e-01 0 5.957539e-01 3.025310e-01
## 2036 5 13 14 4.9523045 1.724118e-01 0 8.586083e-01 3.874831e-01
## 2037 5 13 14 6.4552125 1.212173e-01 0 9.373335e-01 3.671791e-01
## 2038 5 13 14 3.2550819 1.500273e-01 0 8.354166e-01 7.531451e-01
## 2039 5 13 14 6.9671006 3.830773e-01 0 6.150183e-01 6.240912e-01
## 2040 5 13 14 4.3570563 1.753368e-01 0 9.534949e-01 4.286683e-01
## 2041 5 13 14 2.0665453 8.570781e-01 0 5.778944e-01 9.084220e-01
## 2042 5 13 14 4.4794886 1.496010e-01 0 7.765687e-01 5.473464e-01
## 2043 5 13 14 6.3328743 2.007106e-01 0 9.895992e-01 1.647901e-01
## 2044 5 13 14 4.0136404 1.664186e-01 0 9.898387e-01 5.018854e-01
## 2045 5 13 14 7.4767455 7.278111e-01 0 4.941285e-01 7.647065e-01
## 2046 5 13 14 165.5183888 9.280939e-02 0 1.441162e-02 7.159876e-02
## 2047 5 13 14 3.8166637 3.478749e-01 0 9.241443e-01 8.266834e-01
## 2048 5 13 14 3.0105147 1.823972e-01 0 9.505467e-01 6.572520e-01
## 2049 5 13 14 3.8433170 7.691627e-01 0 5.706975e-01 1.255675e-01
## 2050 5 13 14 207.2539926 6.848591e-02 0 5.240215e-03 8.049359e-02
## 2051 5 13 14 7.2065448 6.016720e-01 0 3.488981e-01 3.639231e-01
## 2052 5 13 14 103.2865434 4.737393e-02 0 2.204740e-02 1.204522e-01
## 2053 5 13 14 2.3883276 7.184354e-01 0 9.635085e-01 7.013615e-01
## 2054 5 13 14 5.6768431 1.814094e-01 0 9.299954e-01 3.116309e-01
## 2055 5 13 14 3.1491698 2.509901e-01 0 3.812460e-01 6.519218e-01
## 2056 5 13 14 3.2523812 1.471500e-01 0 7.974286e-01 7.911738e-01
## 2057 5 13 14 6.5009201 8.854141e-01 0 5.478179e-01 9.626205e-01
## 2058 5 13 14 14.9007941 7.129976e-02 0 4.381131e-01 7.923070e-01
## 2059 5 13 14 6.6464108 1.584109e-01 0 6.570516e-01 5.092800e-01
## 2060 5 13 14 5.6562627 1.406737e-01 0 4.595256e-01 5.075746e-01
## 2061 5 13 14 2.7301695 5.572352e-02 0 9.588035e-01 7.855534e-01
## 2062 5 13 14 3.1347419 1.621614e-01 0 9.222775e-01 7.128328e-01
## 2063 5 13 14 5.0449024 4.338883e-01 0 9.377337e-01 5.560268e-01
## 2064 5 13 14 3.3583367 1.161973e-01 0 8.766208e-01 9.887447e-01
## 2065 5 13 14 6.2396957 3.723156e-01 0 1.018970e-01 9.989953e-01
## 2066 5 13 14 3.5300065 1.210501e-01 0 2.123472e-01 9.971424e-01
## 2067 5 13 14 7.0996188 6.589513e-05 0 5.202077e-01 3.071481e-01
## 2068 5 13 14 156.8927189 4.110238e-05 0 7.079504e-01 4.348711e-01
## 2069 5 13 14 3.3391037 7.985284e-01 0 9.724349e-03 1.468032e-02
## 2070 5 13 14 175.2873893 9.091510e-02 0 3.920944e-03 7.220966e-02
## 2071 5 13 14 4.7308332 8.014389e-01 0 9.053525e-01 8.534389e-01
## 2072 5 13 14 6.8890131 1.752645e-01 0 7.481256e-01 2.752741e-01
## 2073 5 13 14 3.2205945 9.268218e-01 0 8.047403e-01 6.420292e-02
## 2074 5 13 14 20.5950704 7.194109e-02 0 7.717558e-01 1.859824e-01
## 2075 5 13 14 2.3729467 5.206313e-01 0 2.554623e-01 6.990921e-01
## 2076 5 13 14 4.7275050 1.681824e-01 0 8.942842e-01 4.274072e-01
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## 2080 5 13 14 48.7677085 4.499598e-02 0 1.138699e-01 2.150939e-01
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## 2083 5 13 14 7.5193784 3.119863e-01 0 3.972319e-01 6.314133e-01
## 2084 5 13 14 3.4742055 1.670754e-01 0 3.866070e-01 7.234281e-01
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## 2088 5 13 14 180.2643446 9.455797e-02 0 1.341039e-02 6.779095e-02
## 2089 5 13 14 6.9930448 7.359067e-01 0 4.264471e-01 4.213487e-02
## 2090 5 13 14 211.8108480 7.936085e-02 0 4.502114e-03 7.417909e-02
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## 2093 5 13 14 4.8194451 7.618420e-01 0 3.277609e-01 3.085307e-01
## 2094 5 13 14 22.0009257 1.198214e-01 0 6.210017e-01 1.099686e-01
## 2095 5 13 14 5.5659630 1.120804e-01 0 3.530232e-01 5.297924e-01
## 2096 5 13 14 6.4771276 1.815056e-01 0 6.884475e-01 2.849739e-01
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## 2098 5 13 14 25.8256804 5.566595e-01 0 3.180377e-01 9.220630e-01
## 2099 5 13 14 5.5883207 4.016512e-01 0 3.957228e-01 2.279889e-01
## 2100 5 13 14 6.0519238 1.011976e-01 0 4.632561e-01 9.611774e-01
## 2101 5 13 14 4.2341933 7.471752e-01 0 8.670849e-01 1.517427e-01
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## 2103 5 13 14 4.3096328 8.902914e-01 0 2.357262e-01 3.646087e-02
## 2104 5 13 14 5.4415564 2.104333e-01 0 9.409202e-01 2.476798e-01
## 2105 5 13 14 5.7695501 4.777524e-01 0 3.583375e-01 3.207365e-01
## 2106 5 13 14 6.8206766 1.295930e-01 0 2.728865e-01 4.811039e-01
## 2107 5 13 14 4.1993835 6.431594e-01 0 5.998068e-01 9.712882e-01
## 2108 5 13 14 3.5030950 1.563398e-01 0 7.824784e-01 6.785963e-01
## 2109 5 13 14 7.3113112 8.447852e-01 0 7.242546e-01 3.149914e-01
## 2110 5 13 14 17.0821428 1.390726e-01 0 8.517719e-01 1.080844e-01
## 2111 5 13 14 6.0766047 9.684259e-01 0 7.611795e-01 6.857180e-01
## 2112 5 13 14 44.9104595 7.583016e-02 0 2.964158e-01 1.200744e-01
## 2113 5 13 14 6.9731625 1.107181e-01 0 7.124197e-01 8.877811e-01
## 2114 5 13 14 4.4095761 1.606604e-01 0 9.155828e-01 4.818174e-01
## 2115 5 13 14 2.6687243 7.376257e-01 0 5.612255e-01 5.188457e-01
## 2116 5 13 14 3.8224004 1.096405e-01 0 3.412167e-01 9.971032e-01
## 2117 5 13 14 4.0654588 6.173842e-01 0 1.727442e-01 4.605312e-01
## 2118 5 13 14 4.4594475 9.580834e-02 0 1.645648e-01 9.970932e-01
## 2119 5 13 14 3.5915168 7.938533e-02 0 7.838717e-01 9.028919e-01
## 2120 5 13 14 4.2713630 1.636777e-01 0 9.514588e-01 4.944509e-01
## 2121 5 13 14 4.6579926 4.948721e-01 0 8.377435e-01 8.551974e-01
## 2122 5 13 14 3.1573110 1.263246e-01 0 8.812764e-01 9.880788e-01
## 2123 5 13 14 6.2203547 2.353630e-01 0 8.375153e-01 7.341879e-01
## 2124 5 13 14 4.1300494 1.487550e-01 0 6.167779e-01 6.146804e-01
## 2125 5 13 14 6.1732108 8.342555e-01 0 8.262880e-01 7.598938e-01
## 2126 5 13 14 75.8495515 9.616932e-02 0 1.483138e-01 8.769115e-02
## 2127 5 13 14 3.3684854 6.474871e-01 0 7.631809e-01 2.503220e-03
## 2128 5 13 14 201.7534214 8.439355e-02 0 4.630930e-03 7.172225e-02
## 2129 5 13 14 4.3762936 8.626253e-01 0 9.364606e-01 6.356041e-01
## 2130 5 13 14 3.9730165 1.624568e-01 0 9.680826e-01 5.303737e-01
## 2131 5 13 14 4.6133178 2.048718e-01 0 9.344267e-01 9.150614e-01
## 2132 5 13 14 4.5022638 1.622102e-01 0 9.181491e-01 4.698359e-01
## 2133 5 13 14 3.1294335 8.167696e-01 0 4.456401e-02 9.503072e-01
## 2134 5 13 14 8.1928645 1.246090e-01 0 1.834122e-01 4.272581e-01
## 2135 5 13 14 2.7312793 7.956677e-01 0 6.346136e-01 7.760644e-01
## 2136 5 13 14 133.6032960 1.033533e-01 0 5.057886e-02 7.234826e-02
## 2137 5 13 14 5.5682712 8.816854e-01 0 3.175763e-01 9.389082e-01
## 2138 5 13 14 21.2614016 1.150831e-01 0 6.324269e-01 1.224624e-01
## 2139 5 13 14 7.8697180 9.186466e-01 0 5.384232e-01 7.056759e-01
## 2140 5 13 14 76.7651564 6.146097e-02 0 1.012153e-01 1.186700e-01
## 2141 5 13 14 7.6640706 3.616903e-01 0 2.345483e-01 6.608871e-01
## 2142 5 13 14 3.8692885 1.222174e-01 0 1.351886e-01 9.811732e-01
## 2143 5 13 14 3.3421602 6.077521e-01 0 6.884145e-01 8.568530e-01
## 2144 5 13 14 5.8830435 1.855602e-01 0 8.402792e-01 2.922957e-01
## 2145 5 13 14 6.9204849 1.389289e-01 0 7.407227e-01 5.282592e-02
## 2146 5 13 14 5.1405620 1.765115e-01 0 8.327680e-01 3.743226e-01
## 2147 5 13 14 2.0255381 7.324288e-01 0 5.938023e-01 9.223406e-01
## 2148 5 13 14 4.2609273 1.604878e-01 0 8.435719e-01 5.180600e-01
## 2149 5 13 14 4.7180326 7.721778e-01 0 7.212955e-01 9.086032e-01
## 2150 5 13 14 5.7178414 1.699365e-01 0 7.575894e-01 3.427898e-01
## 2151 5 13 14 4.3367089 8.578460e-01 0 3.205650e-01 6.216441e-01
## 2152 5 13 14 162.9670351 8.723141e-02 0 6.341527e-03 7.544671e-02
## 2153 5 13 14 3.6615524 1.937948e-02 0 2.712799e-01 8.267504e-01
## 2154 5 13 14 5.6380788 1.779347e-01 0 8.615993e-01 3.317091e-01
## 2155 5 13 14 5.3981436 3.030157e-01 0 3.896527e-01 3.851748e-01
## 2156 5 13 14 4.0141574 1.521850e-01 0 7.690931e-01 5.909577e-01
## 2157 5 13 14 6.7426077 3.425998e-01 0 7.540673e-01 4.757191e-01
## 2158 5 13 14 23.2197785 1.241903e-01 0 6.784742e-01 1.034480e-01
## 2159 5 13 14 3.4485784 9.417576e-01 0 2.497132e-01 9.887366e-02
## 2160 5 13 14 85.9183861 5.984397e-02 0 7.488159e-02 1.123924e-01
## 2161 5 13 14 5.8589971 9.561190e-01 0 6.576289e-01 6.285666e-01
## 2162 5 13 14 5.4969018 1.743661e-01 0 8.655740e-01 3.276541e-01
## 2163 5 13 14 4.0884375 5.033554e-01 0 2.210418e-01 2.833748e-01
## 2164 5 13 14 4.4652164 1.293826e-01 0 2.405479e-01 7.353499e-01
## 2165 5 13 14 3.4012065 2.785326e-02 0 6.355936e-01 4.226011e-01
## 2166 5 13 14 4.0201102 1.474847e-01 0 6.899779e-01 6.689386e-01
## 2167 5 13 14 5.4609761 3.228898e-01 0 5.339684e-01 2.896136e-01
## 2168 5 13 14 3.9446080 1.269783e-01 0 3.491013e-01 8.259675e-01
## 2169 5 13 14 6.3410096 6.887661e-01 0 3.651033e-02 9.785872e-01
## 2170 5 13 14 4.2647387 1.178426e-01 0 5.119318e-03 8.957775e-01
## 2171 5 13 14 2.4511108 1.388075e-01 0 1.912899e-01 3.612029e-01
## 2172 5 13 14 14.5421920 1.195670e-01 0 4.782658e-02 2.693748e-01
## 2173 5 13 14 6.4997422 5.319537e-01 0 8.730091e-01 3.527798e-01
## 2174 5 13 14 5.2278970 1.741233e-01 0 9.675970e-01 3.413223e-01
## 2175 5 13 14 4.4894365 5.342045e-01 0 5.020078e-01 7.203005e-01
## 2176 5 13 14 4.2475132 1.383676e-01 0 7.022373e-01 6.383909e-01
## 2177 5 13 14 6.8624746 9.822191e-01 0 1.312366e-02 7.004624e-01
## 2178 5 13 14 7.7153452 9.555532e-01 0 2.615968e-02 9.313796e-01
## 2179 5 13 14 4.1972761 8.976447e-01 0 2.254276e-01 3.655354e-01
## 2180 5 13 14 156.2699694 9.533481e-02 0 3.054097e-02 6.935254e-02
## 2181 5 13 14 4.6653991 4.110188e-01 0 2.539017e-01 4.225870e-01
## 2182 5 13 14 8.9095519 1.166194e-01 0 6.104208e-02 4.481912e-01
## 2183 5 13 14 2.2095933 1.872086e-01 0 5.294517e-02 7.094841e-01
## 2184 5 13 14 4.6306674 1.164277e-01 0 1.708148e-01 8.001823e-01
## 2185 5 13 14 6.5538348 4.543506e-01 0 3.785349e-01 3.031499e-01
## 2186 5 13 14 5.8988660 1.778678e-01 0 7.894617e-01 3.113057e-01
## 2187 5 13 14 4.9317496 5.621636e-01 0 2.033673e-01 1.813848e-02
## 2188 5 13 14 11.5253662 1.542451e-01 0 2.692287e-01 2.339340e-01
## 2189 5 13 14 6.6442028 6.324126e-01 0 7.946878e-01 4.146331e-01
## 2190 5 13 14 4.4382129 1.687018e-01 0 8.841005e-01 4.643245e-01
## 2191 5 13 14 5.6976110 2.594332e-01 0 8.326109e-01 4.977036e-01
## 2192 5 13 14 4.2615450 1.657644e-01 0 9.217379e-01 4.822905e-01
## 2193 5 13 14 6.0723629 3.976336e-01 0 3.295522e-01 2.215433e-01
## 2194 5 13 14 7.4686517 1.509260e-01 0 4.409959e-01 3.364205e-01
## 2195 5 13 14 3.8927250 6.688401e-01 0 9.226417e-01 5.986086e-01
## 2196 5 13 14 21.6320366 1.137256e-01 0 9.146429e-01 1.112604e-01
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## 2198 5 13 14 9.8023917 1.732417e-01 0 4.067592e-01 2.197219e-01
## 2199 5 13 14 6.1908588 5.694954e-01 0 1.227361e-01 1.075873e-01
## 2200 5 13 14 4.6476253 1.118161e-01 0 4.885298e-02 8.570788e-01
## 2201 5 13 14 2.0394096 3.761868e-01 0 5.475754e-02 1.293879e-01
## 2202 5 13 14 6.7572275 1.184940e-01 0 2.047673e-02 5.682478e-01
## 2203 5 13 14 6.2814132 5.332212e-01 0 8.560006e-01 8.925906e-01
## 2204 5 13 14 5.7758760 1.689767e-01 0 7.876753e-01 3.431904e-01
## 2205 5 13 14 3.4901425 6.597173e-01 0 4.503901e-01 8.813100e-01
## 2206 5 13 14 3.7619058 1.754004e-01 0 9.258816e-01 5.406521e-01
## 2207 5 13 14 7.8042322 9.905008e-01 0 1.961953e-01 8.549533e-01
## 2208 5 13 14 21.3969147 9.773397e-01 0 1.496316e-01 1.513190e-01
## 2209 5 13 14 7.0085685 8.187480e-02 0 4.168580e-01 5.882298e-01
## 2210 5 13 14 4.7586249 1.761277e-01 0 9.536893e-01 3.963141e-01
## 2211 5 13 14 7.8636880 8.279676e-01 0 8.529939e-01 9.569542e-01
## 2212 5 13 14 11.8326244 6.437965e-02 0 9.783045e-01 5.215184e-01
## 2213 5 13 14 5.2919146 2.231236e-01 0 3.471071e-01 7.787408e-01
## 2214 5 13 14 7.6735625 1.674926e-01 0 5.544272e-01 2.861891e-01
## 2215 5 13 14 2.4195671 2.721651e-01 0 3.912331e-01 8.513801e-01
## 2216 5 13 14 5.2738554 1.679637e-01 0 8.505901e-01 3.812300e-01
## 2217 5 13 14 5.4225130 7.231963e-01 0 1.597951e-01 6.345690e-01
## 2218 5 13 14 39.5716847 1.354936e-01 0 3.293410e-01 8.387310e-02
## 2219 5 13 14 4.7636496 6.144417e-01 0 4.919536e-01 4.615897e-01
## 2220 5 13 14 7.1007497 1.336093e-01 0 3.453763e-01 4.120582e-01
## 2221 5 13 14 4.2817730 2.545669e-01 0 9.642999e-01 7.025318e-01
## 2222 5 13 14 3.9116662 1.556449e-01 0 9.884845e-01 5.638743e-01
## 2223 5 13 14 6.5893006 5.592173e-01 0 8.513255e-01 2.031694e-01
## 2224 5 13 14 177.5893941 8.983965e-02 0 2.652003e-03 7.059093e-02
## 2225 5 13 14 2.9640565 8.465544e-01 0 8.271625e-01 9.244774e-01
## 2226 5 13 14 3.0558976 1.629201e-01 0 7.707304e-01 7.661037e-01
## 2227 5 13 14 7.1662866 3.941062e-01 0 6.541043e-01 6.580798e-01
## 2228 5 13 14 6.3232147 1.481497e-01 0 5.678835e-01 4.044234e-01
## 2229 5 13 14 5.3993505 8.780771e-01 0 2.873752e-01 7.284756e-01
## 2230 5 13 14 5.4695420 8.091860e-02 0 5.764685e-01 9.690260e-01
## 2231 5 13 14 4.3266185 2.091662e-01 0 1.251281e-01 1.957200e-01
## 2232 5 13 14 4.8277766 1.790754e-01 0 9.160962e-01 3.794340e-01
## 2233 5 13 14 4.1601792 7.743774e-01 0 6.771250e-01 9.773626e-01
## 2234 5 13 14 4.5157477 9.403894e-02 0 2.202276e-01 9.863399e-01
## 2235 5 13 14 2.2102199 5.855218e-01 0 5.055598e-01 2.857595e-01
## 2236 5 13 14 3.1874161 1.374135e-01 0 8.290518e-01 8.838007e-01
## 2237 5 13 14 3.7220122 6.158026e-02 0 5.185897e-01 9.355321e-01
## 2238 5 13 14 102.5170589 5.146778e-02 0 2.500029e-02 1.162163e-01
## 2239 5 13 14 2.8905433 8.537266e-01 0 2.518025e-01 1.251160e-01
## 2240 5 13 14 192.1801449 7.033709e-02 0 1.042275e-02 7.763765e-02
## 2241 5 13 14 3.5386703 7.509642e-01 0 2.654541e-01 9.775294e-01
## 2242 5 13 14 3.8948783 1.362444e-01 0 1.725735e-01 8.240114e-01
## 2243 5 13 14 2.3182100 7.149112e-01 0 4.524200e-01 6.326147e-01
## 2244 5 13 14 3.6833309 1.543001e-01 0 9.176831e-01 6.384586e-01
## 2245 5 13 14 3.1237499 6.276582e-01 0 3.889674e-02 2.651382e-01
## 2246 5 13 14 5.8831507 1.239479e-01 0 7.852393e-02 6.135835e-01
## 2247 5 13 14 6.4324730 5.933597e-01 0 7.362360e-01 9.290073e-01
## 2248 5 13 14 4.6033281 1.497807e-01 0 7.392879e-01 5.476800e-01
## 2249 5 13 14 6.5836274 5.405061e-01 0 4.103330e-01 8.498186e-01
## 2250 5 13 14 6.7017159 1.163793e-01 0 8.550198e-02 5.816806e-01
## 2251 5 13 14 6.3677982 5.783719e-01 0 9.008654e-02 9.384991e-02
## 2252 5 13 14 12.9462137 8.801009e-02 0 6.513236e-01 3.244314e-01
## 2253 5 13 14 7.5782067 1.325862e-01 0 4.170019e-01 6.058887e-01
## 2254 5 13 14 4.3402307 1.035104e-01 0 1.124950e-01 9.793839e-01
## 2255 5 13 14 5.3003619 5.482199e-01 0 7.006669e-01 5.664816e-01
## 2256 5 13 14 5.3075656 2.015656e-01 0 9.433248e-01 2.733042e-01
## 2257 5 13 14 3.5140764 7.762376e-01 0 6.630197e-01 1.604442e-01
## 2258 5 13 14 5.6910102 1.753916e-01 0 9.262568e-01 3.264798e-01
## 2259 5 13 14 6.7073092 8.383054e-01 0 8.707736e-01 8.305679e-01
## 2260 5 13 14 20.5859460 1.700072e-01 0 8.478161e-01 8.563991e-02
## 2261 5 13 14 4.9071945 9.764754e-02 0 1.297434e-01 8.075412e-01
## 2262 5 13 14 7.8092862 1.155497e-01 0 7.085219e-02 5.007628e-01
## 2263 5 13 14 2.3791943 3.048558e-01 0 3.729892e-01 3.186747e-01
## 2264 5 13 14 10.0084935 1.212672e-01 0 1.237127e-01 3.646221e-01
## 2265 5 13 14 4.3453635 5.345716e-01 0 1.795218e-02 6.092256e-01
## 2266 5 13 14 3.8824098 1.198698e-01 0 8.899963e-02 9.508994e-01
## 2267 5 13 14 6.5544610 7.763301e-01 0 6.415925e-02 5.884555e-01
## 2268 5 13 14 187.2761449 8.873159e-02 0 5.238542e-03 6.942901e-02
## 2269 5 13 14 6.7494368 4.141315e-01 0 6.282247e-01 3.560351e-01
## 2270 5 13 14 4.2023805 1.539554e-01 0 8.371152e-01 5.598180e-01
## 2271 5 13 14 7.1900847 7.617354e-01 0 2.065395e-01 8.018070e-01
## 2272 5 13 14 179.4974224 8.103427e-02 0 4.444333e-03 7.264666e-02
## 2273 5 13 14 4.5869874 3.805758e-01 0 2.911451e-01 2.053521e-01
## 2274 5 13 14 7.5065304 1.146626e-01 0 6.472696e-03 5.267465e-01
## 2275 5 13 14 5.4910348 1.966205e-01 0 3.001752e-01 6.244422e-01
## 2276 5 13 14 7.9505353 1.343569e-01 0 2.719342e-01 3.914763e-01
## 2277 5 13 14 4.0103636 2.910423e-01 0 9.852911e-01 9.624326e-02
## 2278 5 13 14 3.6195598 1.712119e-01 0 9.980372e-01 5.759870e-01
## 2279 5 13 14 5.2665247 2.801933e-01 0 3.461938e-01 5.138927e-01
## 2280 5 13 14 5.1612305 1.247196e-01 0 3.124541e-01 6.509488e-01
## 2281 5 13 14 3.4118818 5.078779e-01 0 2.377947e-01 6.868004e-01
## 2282 5 13 14 9.3736621 1.180005e-01 0 1.768005e-02 4.277219e-01
## 2283 5 13 14 5.1198359 4.942766e-02 0 3.598459e-01 2.871975e-01
## 2284 5 13 14 9.3648010 1.137519e-01 0 3.386392e-02 4.209882e-01
## 2285 5 13 14 2.5396564 1.640808e-01 0 1.173165e-01 9.074160e-01
## 2286 5 13 14 6.4133578 1.714201e-01 0 6.248706e-01 3.103154e-01
## 2287 5 13 14 4.8775621 5.380359e-02 0 1.864555e-01 8.113604e-01
## 2288 5 13 14 7.0979738 1.115329e-01 0 5.876049e-02 5.725396e-01
## 2289 5 13 14 2.5903726 3.554123e-01 0 8.847108e-01 9.561346e-01
## 2290 5 13 14 4.4006701 1.717189e-01 0 9.607647e-01 4.384397e-01
## 2291 5 13 14 4.1887947 5.996211e-01 0 7.641190e-02 2.485298e-02
## 2292 5 13 14 167.6338457 7.442206e-02 0 1.409806e-02 7.535566e-02
## 2293 5 13 14 3.0625668 8.094954e-01 0 4.318080e-01 7.026734e-01
## 2294 5 13 14 3.9213144 1.558056e-01 0 7.755028e-01 6.021702e-01
## 2295 5 13 14 5.1498986 5.220249e-01 0 1.361463e-01 2.823527e-02
## 2296 5 13 14 17.4825204 7.961715e-02 0 6.734549e-01 2.424296e-01
## 2297 5 13 14 2.1666712 4.555505e-02 0 9.568730e-01 3.681257e-01
## 2298 5 13 14 10.1168959 4.155381e-02 0 9.866184e-01 8.177871e-01
## 2299 5 13 14 6.6865784 2.344404e-01 0 3.465570e-01 5.371725e-01
## 2300 5 13 14 4.6575218 1.378895e-01 0 6.404410e-01 6.123490e-01
## 2301 5 13 14 2.2032610 4.453410e-01 0 8.139471e-01 7.430815e-01
## 2302 5 13 14 3.2523129 1.451853e-01 0 7.443921e-01 8.423840e-01
## 2303 5 13 14 7.2473308 7.369466e-02 0 8.863310e-01 8.052974e-01
## 2304 5 13 14 4.3994183 1.071479e-01 0 6.155269e-02 9.202125e-01
## 2305 5 13 14 2.7917131 9.594972e-02 0 9.132595e-01 1.704215e-02
## 2306 5 13 14 6.0947064 2.015735e-01 0 9.092301e-01 2.362941e-01
## 2307 5 13 14 6.9114391 1.701591e-01 0 5.736931e-01 5.352985e-01
## 2308 5 13 14 7.0177159 1.593558e-01 0 5.170631e-01 3.206889e-01
## 2309 5 13 14 7.1927041 4.762575e-01 0 5.285342e-01 3.333226e-01
## 2310 5 13 14 5.6990443 1.537619e-01 0 5.725672e-01 4.336169e-01
## 2311 5 13 14 2.9943735 1.188701e-01 0 5.800937e-01 1.129484e-01
## 2312 5 13 14 4.1851407 1.654983e-01 0 9.598811e-01 4.938465e-01
## 2313 5 13 14 5.3810778 7.063893e-01 0 7.864157e-01 1.345639e-01
## 2314 5 13 14 183.3712827 8.548317e-02 0 9.868886e-03 7.096733e-02
## 2315 5 13 14 3.2533485 4.522589e-01 0 8.896720e-01 3.880138e-01
## 2316 5 13 14 12.3695636 3.886673e-02 0 3.659521e-01 8.487598e-01
## 2317 5 13 14 3.7625924 8.794090e-01 0 5.669509e-02 1.215681e-01
## 2318 5 13 14 6.0415867 1.434169e-01 0 4.109277e-01 4.715264e-01
## 2319 5 13 14 7.3609338 6.104392e-02 0 8.090191e-01 1.228961e-01
## 2320 5 13 14 3.6052436 1.389669e-01 0 7.356909e-01 7.915578e-01
## 2321 5 13 14 5.5527324 2.192949e-03 0 6.128508e-01 3.319314e-01
## 2322 5 13 14 48.7485385 2.110862e-02 0 3.752133e-01 5.727372e-01
## 2323 5 13 14 7.9387167 6.716611e-01 0 8.927482e-01 1.807995e-01
## 2324 5 13 14 17.0231949 1.408742e-01 0 9.291351e-01 1.051899e-01
## 2325 5 13 14 2.0345886 4.062699e-01 0 6.946221e-01 4.539593e-01
## 2326 5 13 14 4.6767375 1.149990e-01 0 1.994335e-01 8.139117e-01
## 2327 5 13 14 6.4412539 8.889574e-01 0 4.111481e-01 7.471642e-01
## 2328 5 13 14 16.1650679 6.944833e-02 0 6.789041e-01 2.925753e-01
## 2329 5 13 14 4.9192470 9.884277e-01 0 7.999384e-01 5.885691e-01
## 2330 5 13 14 33.7912133 9.587155e-02 0 6.410302e-01 1.085874e-01
## 2331 5 13 14 4.5356071 8.348022e-01 0 2.346433e-01 2.038382e-01
## 2332 5 13 14 156.2838007 6.557879e-02 0 1.025660e-02 8.479511e-02
## 2333 5 13 14 5.2210130 3.295210e-01 0 2.253554e-01 7.305405e-01
## 2334 5 13 14 8.6388649 1.504768e-01 0 3.427575e-01 2.989367e-01
## 2335 5 13 14 3.6117736 7.517094e-01 0 8.705737e-01 4.609494e-01
## 2336 5 13 14 3.4806655 1.467839e-01 0 9.539057e-01 7.289776e-01
## 2337 5 13 14 3.2423208 2.522093e-02 0 9.593772e-01 6.352560e-01
## 2338 5 13 14 4.7951654 1.701794e-01 0 8.966371e-01 4.091413e-01
## 2339 5 13 14 6.8458391 6.786599e-02 0 1.050741e-02 4.607244e-01
## 2340 5 13 14 5.5110368 9.945169e-02 0 1.780589e-02 8.238353e-01
## 2341 5 13 14 2.8437868 5.462678e-01 0 4.550170e-01 9.954437e-01
## 2342 5 13 14 2.4033785 1.686733e-01 0 7.096029e-01 9.986461e-01
## 2343 5 13 14 2.3314994 9.556461e-01 0 1.230686e-01 9.015287e-02
## 2344 5 13 14 172.3196405 1.052514e-01 0 1.300997e-02 6.886217e-02
## 2345 5 13 14 4.7995645 9.003766e-01 0 6.217996e-01 4.627050e-01
## 2346 5 13 14 176.7177831 9.240265e-02 0 7.326380e-03 7.205234e-02
## 2347 5 13 14 2.9258157 6.730834e-01 0 9.892457e-01 9.340907e-02
## 2348 5 13 14 7.4697882 1.318132e-01 0 9.969935e-01 3.895898e-01
## 2349 5 13 14 3.9374604 9.391195e-01 0 2.632136e-01 9.683791e-01
## 2350 5 13 14 15.6962842 6.892443e-02 0 4.606352e-01 8.656329e-01
## 2351 5 13 14 7.8768496 8.043352e-01 0 4.791270e-01 8.412953e-01
## 2352 5 13 14 34.8088432 1.004718e-01 0 4.506254e-01 1.091123e-01
## 2353 5 13 14 5.5225224 3.596656e-01 0 6.456260e-01 3.448388e-01
## 2354 5 13 14 3.2941443 1.432074e-01 0 7.390202e-01 8.391567e-01
## 2355 5 13 14 3.8236850 4.223360e-01 0 9.277190e-01 6.186750e-01
## 2356 5 13 14 4.9328565 1.799916e-01 0 9.818383e-01 3.483597e-01
## 2357 5 13 14 2.5580206 5.808196e-01 0 4.713253e-01 2.448015e-01
## 2358 5 13 14 6.1261476 1.831127e-01 0 7.903752e-01 2.878183e-01
## 2359 5 13 14 7.6828995 9.038755e-01 0 8.676539e-01 3.199218e-02
## 2360 5 13 14 14.9875086 1.714040e-01 0 9.228857e-01 9.639163e-02
## 2361 5 13 14 2.3494771 2.150978e-01 0 2.781911e-01 3.031943e-02
## 2362 5 13 14 5.7496577 1.788227e-01 0 8.902681e-01 3.103809e-01
## 2363 5 13 14 2.8866509 7.008519e-01 0 9.559043e-01 3.690559e-01
## 2364 5 13 14 5.6994922 1.950885e-01 0 9.428360e-01 2.614369e-01
## 2365 5 13 14 3.8332293 5.889506e-01 0 8.280923e-01 1.237780e-02
## 2366 5 13 14 3.1978981 1.306160e-01 0 9.331927e-01 9.180930e-01
## 2367 5 13 14 4.4337593 3.031616e-02 0 1.759224e-01 8.699998e-01
## 2368 5 13 14 12.7276936 7.816745e-02 0 1.511280e-01 8.131583e-01
## 2369 5 13 14 2.1866192 4.292379e-01 0 7.853293e-01 9.898578e-01
## 2370 5 13 14 2.7393094 1.450141e-01 0 8.567088e-01 9.787623e-01
## 2371 5 13 14 3.2896314 1.790122e-01 0 1.746045e-02 2.489888e-01
## 2372 5 13 14 4.4921474 1.547641e-01 0 7.477697e-01 5.300937e-01
## 2373 5 13 14 6.6534030 3.209529e-02 0 8.964754e-02 2.641460e-01
## 2374 5 13 14 14.1705239 1.334685e-01 0 1.266182e-01 2.418530e-01
## 2375 5 13 14 2.1022678 6.429725e-01 0 8.069332e-01 8.544163e-01
## 2376 5 13 14 3.1322979 1.481609e-01 0 9.749636e-01 7.800217e-01
## 2377 5 13 14 6.7477771 7.067498e-01 0 9.420973e-01 8.103011e-02
## 2378 5 13 14 120.2306853 5.035291e-02 0 2.094347e-02 1.107315e-01
## 2379 5 13 14 4.9809379 8.760157e-01 0 4.594401e-01 8.882320e-01
## 2380 5 13 14 165.3533701 9.550494e-02 0 1.752316e-02 6.953184e-02
## 2381 5 13 14 2.1344914 1.446430e-01 0 4.218004e-01 7.198111e-01
## 2382 5 13 14 3.9195923 1.682202e-01 0 8.651800e-01 5.579580e-01
## 2383 5 13 14 5.5683504 4.572523e-01 0 2.982371e-01 1.033456e-01
## 2384 5 13 14 6.3167530 1.991511e-01 0 8.117790e-01 2.416270e-01
## 2385 5 13 14 6.8516241 1.597903e-01 0 9.197124e-01 1.391590e-01
## 2386 5 13 14 5.3828171 1.379607e-01 0 5.775110e-01 5.072546e-01
## 2387 5 13 14 2.5751120 7.342204e-01 0 8.875348e-01 2.378180e-01
## 2388 5 13 14 4.5584154 1.669465e-01 0 9.621044e-01 4.215238e-01
## 2389 5 13 14 7.6867522 5.786726e-01 0 4.268293e-01 4.349116e-02
## 2390 5 13 14 207.2297623 7.847862e-02 0 5.306025e-03 7.646666e-02
## 2391 5 13 14 7.8170229 6.703011e-01 0 5.138905e-01 7.317132e-03
## 2392 5 13 14 13.5021427 1.359903e-01 0 9.119148e-01 1.396761e-01
## 2393 5 13 14 4.0874069 1.266265e-02 0 5.818789e-01 8.938659e-01
## 2394 5 13 14 3.0074107 1.758473e-01 0 9.339312e-01 7.071140e-01
## 2395 5 13 14 7.0907777 2.762791e-01 0 1.264052e-01 6.899193e-01
## 2396 5 13 14 4.5343999 1.527533e-01 0 6.614624e-01 5.552318e-01
## 2397 5 13 14 5.2192222 8.159526e-01 0 9.504699e-01 3.465366e-01
## 2398 5 13 14 37.5658637 5.853788e-02 0 4.648294e-01 1.759750e-01
## 2399 5 13 14 6.4344291 3.476664e-02 0 5.097841e-01 9.172907e-01
## 2400 5 13 14 4.9232641 1.657991e-01 0 8.340452e-01 4.292444e-01
## 2401 5 13 14 7.9198798 5.211055e-01 0 7.034509e-01 3.684445e-01
## 2402 5 13 14 160.3579122 6.097095e-02 0 1.494300e-02 8.662298e-02
## 2403 5 13 14 6.6317402 6.072232e-01 0 2.603276e-01 8.762860e-01
## 2404 5 13 14 8.1716393 5.390284e-02 0 6.112219e-02 9.462446e-01
## 2405 5 13 14 3.3315116 7.825839e-01 0 6.602420e-02 4.246954e-01
## 2406 5 13 14 181.6965606 8.477849e-02 0 5.119701e-03 7.888913e-02
## 2407 5 13 14 6.5746898 5.098104e-01 0 5.495791e-02 4.550160e-01
## 2408 5 13 14 7.8297668 1.148076e-01 0 9.158750e-02 4.921589e-01
## 2409 5 13 14 2.5482884 1.525419e-02 0 4.883930e-01 2.849182e-02
## 2410 5 13 14 4.2989967 1.566338e-01 0 8.408446e-01 5.284552e-01
## 2411 5 13 14 5.2190207 3.407843e-01 0 4.000501e-01 2.427354e-01
## 2412 5 13 14 5.0493410 1.735342e-01 0 8.667349e-01 3.847151e-01
## 2413 5 13 14 3.5799277 5.915241e-01 0 2.556548e-01 6.937917e-01
## 2414 5 13 14 10.2790766 1.266808e-01 0 4.625432e-02 3.588210e-01
## 2415 5 13 14 5.3137130 7.430328e-01 0 2.345618e-01 2.895413e-01
## 2416 5 13 14 3.9882179 1.480417e-01 0 5.407394e-01 6.895816e-01
## 2417 5 13 14 2.5615261 5.076095e-01 0 9.434725e-02 8.216152e-02
## 2418 5 13 14 14.7006645 1.191643e-01 0 2.355671e-02 2.737914e-01
## 2419 5 13 14 5.4964539 3.889138e-01 0 3.029984e-01 2.807386e-01
## 2420 5 13 14 5.4263753 1.288941e-01 0 2.450486e-01 6.064651e-01
## 2421 5 13 14 4.2071015 9.845057e-01 0 1.598921e-01 8.065633e-01
## 2422 5 13 14 0.6590263 9.815934e-01 0 1.537833e-02 9.937499e-01
## 2423 5 13 14 6.8521750 6.545128e-01 0 6.979581e-01 1.871217e-01
## 2424 5 13 14 11.3065846 4.228441e-02 0 3.572321e-01 9.099267e-01
## 2425 5 13 14 5.5624106 3.902065e-01 0 7.303003e-01 2.771198e-01
## 2426 5 13 14 4.3638932 1.344317e-01 0 4.860042e-01 6.696662e-01
## 2427 5 13 14 3.4101187 3.148065e-02 0 4.755623e-02 4.526761e-01
## 2428 5 13 14 13.1114322 1.355331e-01 0 1.934579e-01 2.473902e-01
## 2429 5 13 14 7.4345569 9.524291e-02 0 4.373213e-01 8.961679e-01
## 2430 5 13 14 5.3811928 1.714108e-01 0 7.427473e-01 3.658497e-01
## 2431 5 13 14 6.2646455 6.160249e-01 0 5.421787e-01 2.416291e-01
## 2432 5 13 14 2.9146715 1.362047e-01 0 8.826731e-01 9.819843e-01
## 2433 5 13 14 4.5473539 8.354111e-02 0 9.831908e-01 9.570450e-02
## 2434 5 13 14 2.9810468 1.679223e-01 0 9.974846e-01 7.118022e-01
## 2435 5 13 14 2.9433265 8.064856e-01 0 5.453945e-01 5.519999e-02
## 2436 5 13 14 7.1784553 1.925036e-01 0 7.085967e-01 2.215764e-01
## 2437 5 13 14 7.6034638 8.404206e-01 0 6.645863e-01 4.255958e-01
## 2438 5 13 14 41.5599462 1.154886e-01 0 3.071379e-01 8.972036e-02
## 2439 5 13 14 6.3421951 1.213391e-01 0 8.105263e-02 5.837666e-01
## 2440 5 13 14 4.1645692 1.059142e-01 0 8.544777e-02 9.928675e-01
## 2441 5 13 14 7.2345492 9.968640e-01 0 3.159749e-01 9.215411e-01
## 2442 5 13 14 0.6959364 9.826592e-01 0 7.302649e-02 9.782098e-01
## 2443 5 13 14 6.2171090 1.070458e-01 0 7.415821e-01 1.134404e-01
## 2444 5 13 14 6.1428912 1.691562e-01 0 7.441241e-01 3.206693e-01
## 2445 5 13 14 6.5587524 7.054063e-01 0 4.513152e-01 6.657267e-01
## 2446 5 13 14 7.3683365 1.478356e-01 0 4.250426e-01 3.541140e-01
## 2447 5 13 14 4.8266794 5.795834e-01 0 2.284992e-02 4.786715e-01
## 2448 5 13 14 4.5622676 1.069010e-01 0 7.735858e-03 8.898217e-01
## 2449 5 13 14 7.6015941 7.744801e-01 0 2.167324e-01 9.550972e-01
## 2450 5 13 14 5.9045515 1.192700e-01 0 3.079892e-01 5.836022e-01
## 2451 5 13 14 2.4588065 4.220821e-01 0 9.044579e-01 6.658003e-01
## 2452 5 13 14 2.6776490 1.716653e-01 0 8.818049e-01 8.000214e-01
## 2453 5 13 14 6.5222967 9.926164e-01 0 1.464361e-01 1.816388e-01
## 2454 5 13 14 78.2857702 1.725883e-01 0 1.219676e-01 6.893031e-02
## 2455 5 13 14 6.5984474 5.559895e-01 0 5.471884e-01 2.181752e-01
## 2456 5 13 14 4.1012174 1.710499e-01 0 9.208578e-01 4.895044e-01
## 2457 5 13 14 6.5316048 5.286671e-03 0 8.063679e-01 7.345030e-01
## 2458 5 13 14 4.0292737 1.460524e-01 0 8.428395e-01 6.298061e-01
## 2459 5 13 14 3.3472974 1.214378e-02 0 1.256209e-02 2.646361e-01
## 2460 5 13 14 4.4608312 1.211793e-01 0 3.373723e-02 8.256427e-01
## 2461 5 13 14 5.3246695 5.340360e-01 0 1.978151e-01 9.091022e-01
## 2462 5 13 14 4.2291063 1.622093e-01 0 8.605419e-01 5.199188e-01
## 2463 5 13 14 3.7804194 4.924203e-01 0 9.987189e-02 8.649729e-02
## 2464 5 13 14 12.0287135 1.365894e-01 0 9.837092e-02 2.633469e-01
## 2465 5 13 14 6.1552769 1.814398e-01 0 9.180286e-01 9.402408e-01
## 2466 5 13 14 2.9500634 1.534538e-01 0 9.829152e-01 8.299291e-01
## 2467 5 13 14 4.3556399 7.083536e-01 0 7.585119e-01 9.251926e-01
## 2468 5 13 14 5.5923870 1.351640e-01 0 8.534683e-01 4.707474e-01
## 2469 5 13 14 3.3987913 7.974321e-01 0 7.735840e-01 4.497733e-01
## 2470 5 13 14 15.4114332 1.233586e-01 0 7.945236e-01 1.406958e-01
## 2471 5 13 14 5.1208341 2.554947e-01 0 8.722307e-02 4.742073e-02
## 2472 5 13 14 5.6880955 1.157313e-01 0 2.461460e-02 6.881860e-01
## 2473 5 13 14 2.7585620 1.487949e-01 0 9.386108e-01 3.428901e-01
## 2474 5 13 14 3.3454980 1.606568e-01 0 9.655173e-01 6.848185e-01
## 2475 5 13 14 3.2427819 5.626093e-01 0 1.538381e-01 9.092952e-01
## 2476 5 13 14 2.7815922 1.789497e-01 0 8.374600e-01 7.770220e-01
## 2477 5 13 14 4.8452267 2.212363e-01 0 1.362205e-01 3.867939e-02
## 2478 5 13 14 7.5398884 1.496266e-01 0 4.425007e-01 3.407315e-01
## 2479 5 13 14 4.2547480 4.903076e-01 0 7.386365e-01 5.386716e-01
## 2480 5 13 14 3.3213165 1.689647e-01 0 8.670310e-01 6.823575e-01
## 2481 5 13 14 4.0569859 5.604877e-01 0 8.188498e-01 5.891401e-01
## 2482 5 13 14 4.8279040 1.710049e-01 0 9.365524e-01 3.919697e-01
## 2483 5 13 14 3.2822690 3.175135e-01 0 7.481096e-01 9.824205e-01
## 2484 5 13 14 5.8407654 1.611117e-01 0 6.772864e-01 3.810518e-01
## 2485 5 13 14 5.6152289 2.351993e-01 0 5.497560e-01 5.649680e-01
## 2486 5 13 14 5.8729901 2.045950e-01 0 9.728188e-01 2.358863e-01
## 2487 5 13 14 7.6643618 4.456266e-01 0 2.527210e-01 1.177378e-01
## 2488 5 13 14 4.3806329 1.646249e-01 0 8.378219e-01 4.865618e-01
## 2489 5 13 14 6.0147211 8.849768e-01 0 4.529853e-01 5.177787e-01
## 2490 5 13 14 89.3052148 6.612292e-02 0 6.019676e-02 1.024672e-01
## 2491 5 13 14 3.2702260 9.848827e-01 0 9.532981e-01 1.387922e-01
## 2492 5 13 14 29.8240229 1.502121e-01 0 6.349859e-01 9.121200e-02
## 2493 5 13 14 2.5900186 8.611997e-01 0 2.357712e-01 3.584851e-01
## 2494 5 13 14 4.6498186 1.662514e-01 0 7.680958e-01 4.549811e-01
## 2495 5 13 14 4.0828172 1.231196e-02 0 5.007902e-02 4.172492e-01
## 2496 5 13 14 13.2815197 1.174810e-01 0 2.413642e-02 3.017205e-01
## 2497 5 13 14 3.6100975 6.581905e-01 0 8.224332e-01 5.425838e-01
## 2498 5 13 14 3.2468899 1.556105e-01 0 9.603987e-01 7.352109e-01
## 2499 5 13 14 3.6265446 2.154097e-01 0 7.840706e-01 1.540458e-01
## 2500 5 13 14 5.2720495 1.886470e-01 0 9.307305e-01 3.045384e-01
## 2501 5 13 14 4.0185424 7.466559e-01 0 3.885943e-01 3.778452e-01
## 2502 5 13 14 8.1846145 1.402685e-01 0 3.529081e-01 3.373186e-01
## 2503 5 13 14 6.1953493 1.409575e-01 0 3.818731e-01 8.843756e-01
## 2504 5 13 14 4.3705721 1.056125e-01 0 2.809332e-02 9.426445e-01
## 2505 5 13 14 2.0722686 2.917003e-01 0 3.075530e-01 8.693419e-01
## 2506 5 13 14 3.4889212 1.354670e-01 0 5.382520e-01 8.478189e-01
## 2507 5 13 14 2.5094994 2.072030e-01 0 3.717236e-01 1.953133e-01
## 2508 5 13 14 5.7911786 1.236163e-01 0 2.119655e-01 6.046368e-01
## 2509 5 13 14 2.5321990 4.815891e-01 0 3.423750e-01 9.808446e-01
## 2510 5 13 14 3.5740975 1.255373e-01 0 1.789246e-01 9.724389e-01
## 2511 5 13 14 7.2816550 9.440108e-01 0 6.553247e-01 6.736795e-01
## 2512 5 13 14 3.0337778 1.532909e-01 0 9.805084e-01 8.038277e-01
## 2513 5 13 14 7.5752046 1.579483e-01 0 1.646722e-01 9.883159e-01
## 2514 5 13 14 2.3670322 1.592331e-01 0 9.109321e-01 9.932806e-01
## 2515 5 13 14 5.4166457 3.572919e-02 0 5.976993e-01 5.506943e-01
## 2516 5 13 14 6.5020976 1.816137e-01 0 7.947085e-01 2.828585e-01
## 2517 5 13 14 5.1178438 1.725853e-01 0 9.648595e-01 2.141163e-01
## 2518 5 13 14 4.9217271 1.700936e-01 0 9.646339e-01 3.916907e-01
## 2519 5 13 14 4.9565296 2.850000e-01 0 5.301180e-01 8.964999e-01
## 2520 5 13 14 3.7885421 1.586875e-01 0 9.124631e-01 5.909623e-01
## 2521 5 13 14 4.6964954 9.244800e-01 0 7.531650e-03 6.573622e-01
## 2522 5 13 14 197.7774484 7.590492e-02 0 4.962323e-04 7.177959e-02
## 2523 5 13 14 7.3196900 7.042701e-02 0 2.742022e-01 6.055082e-01
## 2524 5 13 14 4.1414019 1.530281e-01 0 8.643988e-01 5.666262e-01
## 2525 5 13 14 2.2261492 5.581943e-02 0 3.617389e-01 7.229675e-01
## 2526 5 13 14 3.2616663 1.381909e-01 0 7.893590e-01 8.762500e-01
## 2527 5 13 14 7.3986505 5.071277e-02 0 4.418467e-01 9.537897e-01
## 2528 5 13 14 11.5329394 4.221583e-02 0 3.576244e-01 9.397901e-01
## 2529 5 13 14 3.7530150 4.480484e-01 0 5.124110e-01 4.557257e-01
## 2530 5 13 14 5.6867813 1.888231e-01 0 8.838577e-01 2.943939e-01
## 2531 5 13 14 4.5196591 2.059437e-01 0 3.454965e-01 8.927034e-01
## 2532 5 13 14 6.2411067 1.435318e-01 0 3.515552e-01 4.649135e-01
## 2533 5 13 14 7.9734256 7.271096e-01 0 7.192242e-01 2.146660e-01
## 2534 5 13 14 187.1381746 6.080165e-02 0 4.037090e-03 8.350074e-02
## 2535 5 13 14 6.5774981 2.414635e-01 0 2.594200e-02 7.185741e-01
## 2536 5 13 14 9.3321694 1.219717e-01 0 3.258654e-02 4.065446e-01
## 2537 5 13 14 3.2804885 3.962442e-01 0 5.953388e-01 3.119716e-01
## 2538 5 13 14 6.1253137 1.965241e-01 0 9.032294e-01 2.513388e-01
## 2539 5 13 14 7.4717095 5.665047e-01 0 8.484182e-01 3.833982e-01
## 2540 5 13 14 4.7409324 1.634407e-01 0 8.703015e-01 4.482460e-01
## 2541 5 13 14 6.0647639 1.947051e-01 0 7.591875e-01 4.732481e-01
## 2542 5 13 14 4.9510819 1.551185e-01 0 7.674440e-01 4.666295e-01
## 2543 5 13 14 4.1905277 1.105990e-01 0 5.495178e-01 2.114405e-01
## 2544 5 13 14 5.3029078 1.805667e-01 0 9.095370e-01 3.344888e-01
## 2545 5 13 14 3.4264214 9.447605e-01 0 2.193285e-01 2.543732e-01
## 2546 5 13 14 176.5806139 9.693182e-02 0 1.564952e-02 7.013215e-02
## 2547 5 13 14 6.1410729 4.665519e-01 0 5.610552e-01 7.556997e-01
## 2548 5 13 14 9.2444339 1.304668e-01 0 2.294135e-01 3.600211e-01
## 2549 5 13 14 6.8033253 9.422084e-01 0 5.393813e-01 2.912493e-01
## 2550 5 13 14 184.1310142 8.742522e-02 0 2.440009e-03 7.332197e-02
## 2551 5 13 14 2.4181459 5.319741e-01 0 9.067387e-02 9.844064e-01
## 2552 5 13 14 4.2892716 1.310881e-01 0 3.272255e-01 7.477376e-01
## 2553 5 13 14 6.3157693 3.872459e-01 0 8.252748e-01 2.244408e-01
## 2554 5 13 14 4.5306387 9.473239e-02 0 3.786174e-01 9.682522e-01
## 2555 5 13 14 5.6912384 8.149509e-01 0 1.580827e-01 1.180626e-01
## 2556 5 13 14 204.1532767 8.599198e-02 0 2.024807e-03 7.128232e-02
## 2557 5 13 14 6.8881410 7.652850e-01 0 8.362103e-01 4.537991e-01
## 2558 5 13 14 221.3511795 7.954009e-02 0 5.009395e-03 7.513349e-02
## 2559 5 13 14 2.9265508 2.040191e-01 0 9.488500e-01 4.181068e-01
## 2560 5 13 14 4.2299266 1.007645e-01 0 2.327853e-01 9.875474e-01
## 2561 5 13 14 5.7720306 8.913166e-01 0 4.582058e-01 6.151601e-01
## 2562 5 13 14 189.5773589 8.433222e-02 0 3.845034e-03 6.889687e-02
## 2563 5 13 14 7.4213575 5.746632e-01 0 5.253749e-01 5.344668e-01
## 2564 5 13 14 5.3529520 1.943665e-01 0 8.998738e-01 2.952981e-01
## 2565 5 13 14 6.6457566 2.243900e-01 0 3.840041e-01 2.099019e-01
## 2566 5 13 14 3.3977037 1.223828e-01 0 5.285560e-01 9.742560e-01
## 2567 5 13 14 4.5178916 1.811190e-01 0 1.603296e-01 3.587144e-01
## 2568 5 13 14 4.2502253 1.361203e-01 0 5.092923e-01 7.196121e-01
## 2569 5 13 14 2.1196368 9.811984e-01 0 6.929264e-01 7.001982e-01
## 2570 5 13 14 4.3477402 1.603039e-01 0 9.099608e-01 5.127115e-01
## 2571 5 13 14 3.8657732 5.112335e-01 0 6.477654e-01 3.794811e-01
## 2572 5 13 14 7.3936352 1.284526e-01 0 1.602408e-01 4.653819e-01
## 2573 5 13 14 4.3542484 3.140681e-01 0 6.724867e-01 8.928109e-01
## 2574 5 13 14 5.1397474 1.882843e-01 0 8.735582e-01 3.332898e-01
## 2575 5 13 14 4.0037595 2.732186e-01 0 5.916867e-01 5.319889e-01
## 2576 5 13 14 5.4320648 1.640525e-01 0 8.406269e-01 3.873687e-01
## 2577 5 13 14 7.8820757 8.273100e-01 0 3.857475e-01 2.306596e-01
## 2578 5 13 14 11.1471874 6.420968e-02 0 7.669082e-01 5.642560e-01
## 2579 5 13 14 3.9180947 4.738345e-01 0 1.433275e-01 8.950672e-01
## 2580 5 13 14 4.9868987 1.485197e-01 0 5.396284e-01 5.270659e-01
## 2581 5 13 14 6.9281426 2.706478e-02 0 5.709991e-01 2.601708e-01
## 2582 5 13 14 4.7879170 1.557909e-01 0 7.577776e-01 4.857593e-01
## 2583 5 13 14 5.0971510 9.120271e-01 0 2.483716e-01 5.947955e-01
## 2584 5 13 14 164.7706116 7.923463e-02 0 1.567430e-02 7.689375e-02
## 2585 5 13 14 2.0430084 2.088457e-01 0 5.438362e-01 5.977791e-01
## 2586 5 13 14 5.2443275 1.780866e-01 0 9.520041e-01 3.449896e-01
## 2587 5 13 14 4.2628754 1.712145e-01 0 3.804834e-02 6.162053e-01
## 2588 5 13 14 9.0687992 1.120228e-01 0 2.060744e-02 4.551595e-01
## 2589 5 13 14 4.7927838 2.296993e-02 0 7.816799e-01 6.251991e-01
## 2590 5 13 14 3.5598408 1.402600e-01 0 6.661756e-01 7.928492e-01
## 2591 5 13 14 3.9867086 5.455423e-01 0 5.954170e-02 4.671424e-01
## 2592 5 13 14 5.1316216 1.157069e-01 0 3.201170e-02 7.472776e-01
## 2593 5 13 14 2.1677160 7.611744e-01 0 5.329649e-01 3.660936e-01
## 2594 5 13 14 5.2356457 1.800622e-01 0 8.927680e-01 3.472160e-01
## 2595 5 13 14 5.6118510 7.625853e-01 0 6.542249e-01 1.478986e-01
## 2596 5 13 14 4.3007780 1.108665e-01 0 3.412320e-02 9.796283e-01
## 2597 5 13 14 4.8067749 6.284123e-01 0 4.648973e-01 6.374418e-01
## 2598 5 13 14 4.7653552 1.691232e-01 0 9.257439e-01 4.078846e-01
## 2599 5 13 14 7.8748331 5.035599e-01 0 7.809223e-01 3.001036e-01
## 2600 5 13 14 19.9529934 1.467866e-01 0 6.990907e-01 9.975619e-02
## 2601 5 13 14 4.2899760 8.529035e-01 0 9.626133e-01 7.435213e-03
## 2602 5 13 14 16.7376444 1.591367e-01 0 9.425530e-01 9.292118e-02
## 2603 5 13 14 3.1172343 3.125460e-01 0 9.976276e-02 1.766963e-01
## 2604 5 13 14 3.3095592 1.372927e-01 0 7.309926e-01 8.902336e-01
## 2605 5 13 14 5.9272674 8.449399e-01 0 4.965824e-01 6.373204e-01
## 2606 5 13 14 17.2915374 5.643104e-01 0 7.641275e-01 1.722723e-01
## 2607 5 13 14 5.9863727 3.211490e-01 0 5.743482e-01 5.445200e-01
## 2608 5 13 14 5.8603158 1.653758e-01 0 7.109017e-01 3.574494e-01
## 2609 5 13 14 5.2064259 9.813595e-01 0 9.882735e-01 2.580795e-02
## 2610 5 13 14 9.7014282 9.784993e-01 0 8.739152e-01 2.839081e-01
## 2611 5 13 14 3.7976703 4.028250e-01 0 4.448444e-01 9.513364e-02
## 2612 5 13 14 4.5729258 1.669878e-01 0 9.654600e-01 4.288897e-01
## 2613 5 13 14 3.4080196 4.637317e-02 0 8.967436e-01 7.787502e-03
## 2614 5 13 14 192.5539485 9.669281e-02 0 1.669983e-02 6.781150e-02
## 2615 5 13 14 5.8450380 8.059594e-01 0 2.068868e-01 1.490703e-01
## 2616 5 13 14 196.1071495 8.514573e-02 0 4.201337e-03 7.498772e-02
## 2617 5 13 14 2.3214201 2.206129e-01 0 9.577938e-01 1.816958e-01
## 2618 5 13 14 4.5162059 1.643338e-01 0 9.980078e-01 4.485455e-01
## 2619 5 13 14 4.5968821 5.936639e-01 0 3.391520e-01 5.683839e-01
## 2620 5 13 14 4.0191180 1.635557e-01 0 7.802553e-01 5.516440e-01
## 2621 5 13 14 4.1727264 5.725273e-01 0 5.730071e-01 9.839652e-01
## 2622 5 13 14 4.0326567 1.610956e-01 0 9.261418e-01 5.331391e-01
## 2623 5 13 14 7.2837009 1.560948e-01 0 8.453327e-03 5.121350e-01
## 2624 5 13 14 6.2273316 1.176428e-01 0 8.014424e-02 6.100818e-01
## 2625 5 13 14 3.7178057 6.303631e-02 0 7.176734e-01 2.634131e-01
## 2626 5 13 14 5.2147932 1.722813e-01 0 8.363799e-01 3.747161e-01
## 2627 5 13 14 7.4155874 9.052512e-01 0 2.499120e-01 4.467675e-01
## 2628 5 13 14 159.6055337 7.539740e-02 0 2.549923e-02 7.654418e-02
## 2629 5 13 14 5.9335544 2.055135e-01 0 2.340314e-01 4.297060e-01
## 2630 5 13 14 5.6572663 1.649780e-01 0 8.654431e-01 3.609738e-01
## 2631 5 13 14 5.1258848 6.776170e-01 0 9.834178e-01 5.580741e-01
## 2632 5 13 14 18.4042126 1.188265e-01 0 9.926315e-01 1.167627e-01
## 2633 5 13 14 3.8310249 7.579493e-01 0 5.690588e-01 4.995740e-01
## 2634 5 13 14 3.4729974 1.451513e-01 0 7.732733e-01 7.727417e-01
## 2635 5 13 14 2.7700234 7.663778e-02 0 3.719399e-01 4.250698e-01
## 2636 5 13 14 3.7582013 1.456160e-01 0 6.891920e-01 6.990894e-01
## 2637 5 13 14 7.9981716 7.948917e-01 0 8.792961e-01 8.016909e-01
## 2638 5 13 14 3.4278736 1.561461e-01 0 9.914288e-01 6.487021e-01
## 2639 5 13 14 6.1321355 3.816133e-01 0 3.196998e-01 8.015862e-01
## 2640 5 13 14 9.4957031 1.450262e-01 0 3.030457e-01 2.916358e-01
## 2641 5 13 14 6.0634864 9.154040e-01 0 1.841898e-01 7.096297e-01
## 2642 5 13 14 194.4021375 9.387401e-02 0 7.005222e-03 6.983814e-02
## 2643 5 13 14 5.4257059 4.320191e-01 0 3.406142e-01 8.200412e-03
## 2644 5 13 14 8.5224504 1.511240e-01 0 3.680716e-01 3.128423e-01
## 2645 5 13 14 3.8053155 9.191667e-01 0 8.772695e-01 1.296516e-01
## 2646 5 13 14 17.4457777 6.496851e-02 0 9.417470e-01 2.711295e-01
## 2647 5 13 14 2.0552920 5.091096e-01 0 7.876706e-01 6.793389e-01
## 2648 5 13 14 5.0325699 1.767374e-01 0 9.674216e-01 3.648956e-01
## 2649 5 13 14 7.7252812 2.101698e-01 0 4.757921e-01 2.529661e-01
## 2650 5 13 14 4.1785915 1.422699e-01 0 6.778256e-01 6.515037e-01
## 2651 5 13 14 3.5884392 3.470484e-02 0 8.636096e-02 7.798263e-01
## 2652 5 13 14 6.2089825 1.115494e-01 0 2.943269e-02 6.391252e-01
## 2653 5 13 14 7.4792039 2.185402e-01 0 6.561230e-01 8.851449e-01
## 2654 5 13 14 4.0568684 1.071429e-01 0 3.443229e-01 9.669561e-01
## 2655 5 13 14 7.2384419 9.243221e-01 0 7.804886e-01 5.804190e-01
## 2656 5 13 14 7.5800574 8.904131e-01 0 7.816803e-01 9.699007e-01
## 2657 5 13 14 7.4926385 4.438327e-01 0 1.828486e-02 9.727792e-01
## 2658 5 13 14 6.9149179 1.239947e-01 0 9.452578e-04 5.295965e-01
## 2659 5 13 14 3.1872702 4.219895e-01 0 2.946930e-01 3.246172e-01
## 2660 5 13 14 3.3819107 1.608329e-01 0 6.040705e-01 7.190552e-01
## 2661 5 13 14 7.4963099 9.763226e-01 0 8.153174e-01 9.930658e-01
## 2662 5 13 14 8.2944366 1.933370e-01 0 6.454000e-01 9.971480e-01
## 2663 5 13 14 6.9606979 3.549016e-01 0 3.426721e-01 5.255551e-01
## 2664 5 13 14 7.6927722 1.709220e-01 0 5.702019e-01 2.653260e-01
## 2665 5 13 14 6.4830294 8.613123e-01 0 9.703782e-01 6.763398e-01
## 2666 5 13 14 23.2851841 6.405884e-02 0 8.664902e-01 1.757006e-01
## 2667 5 13 14 2.0295854 9.779096e-01 0 9.961642e-01 5.285045e-01
## 2668 5 13 14 4.3436411 1.721293e-01 0 9.819252e-01 4.475417e-01
## 2669 5 13 14 3.8105803 4.402682e-01 0 6.327909e-01 2.381506e-01
## 2670 5 13 14 6.2881212 1.840178e-01 0 7.722962e-01 2.828444e-01
## 2671 5 13 14 5.9316581 7.692022e-01 0 1.640911e-01 4.560096e-01
## 2672 5 13 14 197.0356420 9.769307e-02 0 4.117884e-03 6.554201e-02
## 2673 5 13 14 6.1892778 7.172595e-01 0 4.762781e-01 5.567584e-01
## 2674 5 13 14 178.9348080 9.451794e-02 0 5.650946e-03 7.165431e-02
## 2675 5 13 14 5.6515405 1.861028e-01 0 1.939076e-01 4.628037e-01
## 2676 5 13 14 4.5449726 1.520188e-01 0 7.216563e-01 5.231820e-01
## 2677 5 13 14 3.7238483 5.284371e-01 0 2.627667e-01 9.204745e-01
## 2678 5 13 14 6.6316164 1.385672e-01 0 3.163668e-01 4.441971e-01
## 2679 5 13 14 2.6544735 6.395347e-01 0 8.475387e-01 5.339597e-01
## 2680 5 13 14 4.4394613 1.612743e-01 0 9.043989e-01 4.616085e-01
## 2681 5 13 14 7.1495065 8.101501e-01 0 8.520270e-01 7.567158e-01
## 2682 5 13 14 3.7215636 1.784464e-01 0 9.757978e-01 4.968154e-01
## 2683 5 13 14 3.6720796 4.955991e-01 0 7.659864e-02 6.537345e-02
## 2684 5 13 14 8.4548960 1.429778e-01 0 3.181974e-01 3.366839e-01
## 2685 5 13 14 3.9680583 5.118399e-01 0 1.942192e-01 9.135668e-01
## 2686 5 13 14 7.7245121 1.153486e-01 0 8.567442e-02 5.111502e-01
## 2687 5 13 14 2.1632669 5.034942e-01 0 2.536553e-02 2.867068e-01
## 2688 5 13 14 12.1549703 1.190174e-01 0 1.384843e-02 3.273744e-01
## 2689 5 13 14 5.8259357 4.488789e-01 0 9.459652e-01 7.384908e-01
## 2690 5 13 14 4.2986144 1.656042e-01 0 9.630649e-01 4.802442e-01
## 2691 5 13 14 4.7706294 8.663893e-01 0 5.800204e-01 3.956935e-01
## 2692 5 13 14 154.4857320 7.271027e-02 0 1.668199e-02 8.205136e-02
## 2693 5 13 14 2.3757192 9.217427e-01 0 6.074487e-01 7.773334e-01
## 2694 5 13 14 3.8839575 1.989518e-01 0 9.445008e-01 4.192494e-01
## 2695 5 13 14 4.7992637 4.266691e-01 0 4.503440e-01 7.919068e-01
## 2696 5 13 14 4.1197045 1.552839e-01 0 8.601205e-01 5.789889e-01
## 2697 5 13 14 7.7264581 8.985785e-01 0 1.148931e-01 7.475153e-01
## 2698 5 13 14 4.4032835 1.397584e-01 0 5.135520e-01 6.259622e-01
## 2699 5 13 14 7.5916785 1.380942e-01 0 7.252847e-01 3.085228e-02
## 2700 5 13 14 16.3765826 5.800664e-02 0 4.131581e-01 4.336350e-01
## 2701 5 13 14 2.9393106 9.977301e-01 0 9.628007e-03 9.133744e-01
## 2702 5 13 14 0.7553645 9.791846e-01 0 6.577464e-04 9.755907e-01
## p_H_cond_S phi_E phi_U phi_S h_V gamma N_0 E_0
## 1 0.180136720 1.09 1.09 0.2 0.125 0.92307504 8e+06 7.627312e+03
## 2 0.127628741 1.09 1.09 0.2 0.125 5.74870674 8e+06 1.077851e+04
## 3 0.267057887 1.09 1.09 0.2 0.125 0.99372449 8e+06 1.280629e+04
## 4 0.148070954 1.09 1.09 0.2 0.125 4.07074157 8e+06 1.032982e+04
## 5 0.250613797 1.09 1.09 0.2 0.125 0.97362226 8e+06 1.160875e+04
## 6 0.021048890 1.09 1.09 0.2 0.125 3.86854724 8e+06 1.443859e+04
## 7 0.246804192 1.09 1.09 0.2 0.125 0.20679777 8e+06 1.390926e+04
## 8 0.129454744 1.09 1.09 0.2 0.125 5.33674164 8e+06 2.592266e+04
## 9 0.349799142 1.09 1.09 0.2 0.125 0.34851806 8e+06 1.002521e+04
## 10 0.122968803 1.09 1.09 0.2 0.125 19.98377887 8e+06 1.600258e+04
## 11 0.250719509 1.09 1.09 0.2 0.125 0.35792300 8e+06 9.779505e+03
## 12 0.132414504 1.09 1.09 0.2 0.125 5.58987399 8e+06 1.469436e+04
## 13 0.256550472 1.09 1.09 0.2 0.125 0.56217992 8e+06 4.589185e+03
## 14 0.041161610 1.09 1.09 0.2 0.125 3.96937561 8e+06 4.039948e+03
## 15 0.131400933 1.09 1.09 0.2 0.125 0.68842123 8e+06 7.828145e+03
## 16 0.139340375 1.09 1.09 0.2 0.125 3.98875249 8e+06 1.336001e+04
## 17 0.126306358 1.09 1.09 0.2 0.125 0.96955555 8e+06 1.612331e+04
## 18 0.120560685 1.09 1.09 0.2 0.125 9.25429841 8e+06 2.032807e+04
## 19 0.129118137 1.09 1.09 0.2 0.125 0.30417680 8e+06 1.658054e+04
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## 62 0.118630205 1.09 1.09 0.2 0.125 3.87936044 8e+06 3.247965e+03
## 63 0.217118882 1.09 1.09 0.2 0.125 0.74611554 8e+06 9.598104e+03
## 64 0.151917744 1.09 1.09 0.2 0.125 12.60774914 8e+06 1.723987e+04
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## 73 0.101661550 1.09 1.09 0.2 0.125 0.77962983 8e+06 1.467010e+04
## 74 0.152724652 1.09 1.09 0.2 0.125 4.31347854 8e+06 2.940557e+04
## 75 0.057066252 1.09 1.09 0.2 0.125 0.47691666 8e+06 1.146541e+04
## 76 0.132829310 1.09 1.09 0.2 0.125 24.90091144 8e+06 2.034575e+04
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## 79 0.309854034 1.09 1.09 0.2 0.125 0.81654387 8e+06 1.093675e+04
## 80 0.136877788 1.09 1.09 0.2 0.125 7.75630331 8e+06 1.658552e+04
## 81 0.237911075 1.09 1.09 0.2 0.125 0.90218690 8e+06 2.977048e+03
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## 84 0.564173159 1.09 1.09 0.2 0.125 1.76846159 8e+06 2.759912e+02
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## 91 0.294941894 1.09 1.09 0.2 0.125 0.21397224 8e+06 1.636302e+04
## 92 0.131122231 1.09 1.09 0.2 0.125 3.18484799 8e+06 2.208998e+04
## 93 0.198824590 1.09 1.09 0.2 0.125 0.49430697 8e+06 1.199881e+04
## 94 0.106717822 1.09 1.09 0.2 0.125 9.11893486 8e+06 1.780152e+04
## 95 0.304954095 1.09 1.09 0.2 0.125 0.26005464 8e+06 7.018153e+03
## 96 0.111730654 1.09 1.09 0.2 0.125 5.64485722 8e+06 8.386040e+03
## 97 0.246188427 1.09 1.09 0.2 0.125 0.57778817 8e+06 1.116838e+03
## 98 0.600972069 1.09 1.09 0.2 0.125 3.39554825 8e+06 1.025519e+03
## 99 0.282707451 1.09 1.09 0.2 0.125 0.24432974 8e+06 7.640835e+03
## 100 0.123996430 1.09 1.09 0.2 0.125 8.57863445 8e+06 1.148220e+04
## 101 0.321435845 1.09 1.09 0.2 0.125 0.62349200 8e+06 1.152671e+03
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## 104 0.231551617 1.09 1.09 0.2 0.125 5.42007252 8e+06 4.977428e+03
## 105 0.158012274 1.09 1.09 0.2 0.125 0.36469834 8e+06 7.270039e+03
## 106 0.102471078 1.09 1.09 0.2 0.125 11.03551548 8e+06 9.648828e+03
## 107 0.096919257 1.09 1.09 0.2 0.125 0.53015663 8e+06 2.278461e+01
## 108 0.465979509 1.09 1.09 0.2 0.125 1.46981554 8e+06 2.908018e+01
## 109 0.293539554 1.09 1.09 0.2 0.125 0.70841960 8e+06 6.235928e+03
## 110 0.108510572 1.09 1.09 0.2 0.125 5.91969986 8e+06 1.033167e+04
## 111 0.082235932 1.09 1.09 0.2 0.125 0.97368664 8e+06 5.604627e+03
## 112 0.114678205 1.09 1.09 0.2 0.125 5.04484479 8e+06 7.253792e+03
## 113 0.338421185 1.09 1.09 0.2 0.125 0.56190476 8e+06 1.486415e+04
## 114 0.172800128 1.09 1.09 0.2 0.125 2.88480188 8e+06 2.329690e+04
## 115 0.386646190 1.09 1.09 0.2 0.125 0.84098562 8e+06 5.394910e+03
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## 117 0.170240387 1.09 1.09 0.2 0.125 0.92543578 8e+06 1.538369e+04
## 118 0.269210173 1.09 1.09 0.2 0.125 5.48168145 8e+06 1.021356e+04
## 119 0.083641995 1.09 1.09 0.2 0.125 0.29301102 8e+06 1.280979e+04
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## 121 0.155562475 1.09 1.09 0.2 0.125 0.53090073 8e+06 3.260381e+03
## 122 0.107261690 1.09 1.09 0.2 0.125 15.47899348 8e+06 5.693671e+03
## 123 0.207202296 1.09 1.09 0.2 0.125 0.61972152 8e+06 5.047625e+03
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## 134 0.188387996 1.09 1.09 0.2 0.125 21.26866829 8e+06 1.045706e+04
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## 212 0.142646974 1.09 1.09 0.2 0.125 12.99203160 8e+06 1.340465e+04
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## 220 0.109285794 1.09 1.09 0.2 0.125 8.14433778 8e+06 1.964324e+04
## 221 0.083469022 1.09 1.09 0.2 0.125 0.72558816 8e+06 9.730872e+03
## 222 0.136775928 1.09 1.09 0.2 0.125 3.41054851 8e+06 2.085103e+04
## 223 0.294464996 1.09 1.09 0.2 0.125 0.99154554 8e+06 4.764750e+03
## 224 0.096032335 1.09 1.09 0.2 0.125 6.99421793 8e+06 6.580556e+03
## 225 0.100575537 1.09 1.09 0.2 0.125 0.51456055 8e+06 2.231412e+03
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## 643 0.228744292 1.09 1.09 0.2 0.125 0.44928502 8e+06 5.359207e+03
## 644 0.142780124 1.09 1.09 0.2 0.125 8.59029062 8e+06 9.622913e+03
## 645 0.261041676 1.09 1.09 0.2 0.125 0.31783967 8e+06 4.402596e+03
## 646 0.122383516 1.09 1.09 0.2 0.125 5.63201164 8e+06 6.443501e+03
## 647 0.306798263 1.09 1.09 0.2 0.125 0.70591149 8e+06 8.813402e+03
## 648 0.510944799 1.09 1.09 0.2 0.125 4.90735202 8e+06 8.346757e+03
## 649 0.183946385 1.09 1.09 0.2 0.125 0.99961628 8e+06 3.042121e+03
## 650 0.112867651 1.09 1.09 0.2 0.125 3.69727353 8e+06 6.046097e+03
## 651 0.108160153 1.09 1.09 0.2 0.125 0.55914706 8e+06 1.428716e+04
## 652 0.647453269 1.09 1.09 0.2 0.125 1.66877700 8e+06 3.503807e+04
## 653 0.268179713 1.09 1.09 0.2 0.125 0.78429553 8e+06 1.578558e+04
## 654 0.153039654 1.09 1.09 0.2 0.125 9.03191631 8e+06 1.943023e+04
## 655 0.286961206 1.09 1.09 0.2 0.125 0.73450173 8e+06 3.080321e+03
## 656 0.106403348 1.09 1.09 0.2 0.125 4.36730515 8e+06 4.588403e+03
## 657 0.205650071 1.09 1.09 0.2 0.125 0.77137721 8e+06 1.520518e+04
## 658 0.575838166 1.09 1.09 0.2 0.125 1.68109443 8e+06 2.556401e+04
## 659 0.296132920 1.09 1.09 0.2 0.125 0.84748283 8e+06 8.574141e+01
## 660 0.096543646 1.09 1.09 0.2 0.125 4.14320040 8e+06 1.037912e+02
## 661 0.224816679 1.09 1.09 0.2 0.125 0.87151177 8e+06 4.888355e+03
## 662 0.036652897 1.09 1.09 0.2 0.125 3.98970348 8e+06 6.661336e+03
## 663 0.065448871 1.09 1.09 0.2 0.125 0.40723901 8e+06 9.882673e+03
## 664 0.117822428 1.09 1.09 0.2 0.125 20.65123910 8e+06 1.492007e+04
## 665 0.090039208 1.09 1.09 0.2 0.125 0.45060723 8e+06 1.651959e+04
## 666 0.049311454 1.09 1.09 0.2 0.125 1.54904448 8e+06 1.739413e+04
## 667 0.391384445 1.09 1.09 0.2 0.125 0.46923934 8e+06 1.504264e+04
## 668 0.211029832 1.09 1.09 0.2 0.125 8.18085899 8e+06 1.616096e+04
## 669 0.150302766 1.09 1.09 0.2 0.125 0.89565251 8e+06 1.745703e+02
## 670 0.093098582 1.09 1.09 0.2 0.125 5.83132128 8e+06 1.620294e+02
## 671 0.200469631 1.09 1.09 0.2 0.125 0.64148581 8e+06 1.904467e+04
## 672 0.119017833 1.09 1.09 0.2 0.125 2.78222013 8e+06 2.936003e+04
## 673 0.362363709 1.09 1.09 0.2 0.125 0.79540723 8e+06 6.488533e+03
## 674 0.137892508 1.09 1.09 0.2 0.125 5.71529279 8e+06 9.448068e+03
## 675 0.193856876 1.09 1.09 0.2 0.125 0.75214245 8e+06 1.534810e+04
## 676 0.151188484 1.09 1.09 0.2 0.125 7.18265128 8e+06 2.865605e+04
## 677 0.112874858 1.09 1.09 0.2 0.125 0.43532112 8e+06 1.251208e+02
## 678 0.096593364 1.09 1.09 0.2 0.125 11.04062562 8e+06 1.196384e+02
## 679 0.344219022 1.09 1.09 0.2 0.125 0.30264355 8e+06 1.067082e+04
## 680 0.120817086 1.09 1.09 0.2 0.125 4.46036544 8e+06 1.324939e+04
## 681 0.286973764 1.09 1.09 0.2 0.125 0.90437063 8e+06 1.244016e+04
## 682 0.646054134 1.09 1.09 0.2 0.125 2.79926670 8e+06 2.048439e+04
## 683 0.209316979 1.09 1.09 0.2 0.125 0.29843471 8e+06 5.099924e+03
## 684 0.137271549 1.09 1.09 0.2 0.125 12.62404820 8e+06 8.224228e+03
## 685 0.079039054 1.09 1.09 0.2 0.125 0.66829441 8e+06 1.087106e+04
## 686 0.167910139 1.09 1.09 0.2 0.125 10.07700447 8e+06 1.572402e+04
## 687 0.191869466 1.09 1.09 0.2 0.125 0.63271500 8e+06 1.271832e+04
## 688 0.170440372 1.09 1.09 0.2 0.125 9.61690329 8e+06 1.423536e+04
## 689 0.124261152 1.09 1.09 0.2 0.125 0.93128714 8e+06 1.151360e+04
## 690 0.074522975 1.09 1.09 0.2 0.125 3.29923145 8e+06 1.130449e+04
## 691 0.300492190 1.09 1.09 0.2 0.125 0.30647438 8e+06 1.764567e+04
## 692 0.255495970 1.09 1.09 0.2 0.125 7.80495034 8e+06 1.048128e+04
## 693 0.388915254 1.09 1.09 0.2 0.125 0.71194960 8e+06 1.597856e+04
## 694 0.140700028 1.09 1.09 0.2 0.125 14.03079884 8e+06 2.873384e+04
## 695 0.109464379 1.09 1.09 0.2 0.125 0.57209664 8e+06 4.143816e+03
## 696 0.601840862 1.09 1.09 0.2 0.125 1.65115390 8e+06 5.551156e+03
## 697 0.311167406 1.09 1.09 0.2 0.125 0.56809981 8e+06 2.556817e+03
## 698 0.046773448 1.09 1.09 0.2 0.125 3.65226775 8e+06 3.290638e+03
## 699 0.116382796 1.09 1.09 0.2 0.125 0.95686639 8e+06 1.010037e+04
## 700 0.140628886 1.09 1.09 0.2 0.125 5.00838099 8e+06 1.805826e+04
## 701 0.115571416 1.09 1.09 0.2 0.125 0.52719957 8e+06 1.983325e+04
## 702 0.171093421 1.09 1.09 0.2 0.125 3.18321650 8e+06 4.216094e+04
## 703 0.081418800 1.09 1.09 0.2 0.125 0.35176831 8e+06 9.782490e+03
## 704 0.563685646 1.09 1.09 0.2 0.125 2.99447144 8e+06 1.342098e+04
## 705 0.057680533 1.09 1.09 0.2 0.125 0.87503147 8e+06 3.271083e+02
## 706 0.102311285 1.09 1.09 0.2 0.125 11.45774195 8e+06 3.423741e+02
## 707 0.320588284 1.09 1.09 0.2 0.125 0.76489395 8e+06 1.415813e+04
## 708 0.567173702 1.09 1.09 0.2 0.125 1.57902160 8e+06 1.846959e+04
## 709 0.308603501 1.09 1.09 0.2 0.125 0.36766228 8e+06 5.948446e+03
## 710 0.106308749 1.09 1.09 0.2 0.125 3.95130588 8e+06 9.427925e+03
## 711 0.265630869 1.09 1.09 0.2 0.125 0.86008181 8e+06 1.158674e+04
## 712 0.179138041 1.09 1.09 0.2 0.125 5.70553929 8e+06 1.687342e+04
## 713 0.212442248 1.09 1.09 0.2 0.125 0.45040949 8e+06 1.390815e+04
## 714 0.190790249 1.09 1.09 0.2 0.125 17.88895549 8e+06 1.910165e+04
## 715 0.236845457 1.09 1.09 0.2 0.125 0.69329851 8e+06 9.087080e+03
## 716 0.553543258 1.09 1.09 0.2 0.125 1.42919371 8e+06 1.337709e+04
## 717 0.145942058 1.09 1.09 0.2 0.125 0.44965975 8e+06 1.300150e+04
## 718 0.126159283 1.09 1.09 0.2 0.125 6.29713535 8e+06 2.239513e+04
## 719 0.228792762 1.09 1.09 0.2 0.125 0.65487981 8e+06 1.443040e+04
## 720 0.164580045 1.09 1.09 0.2 0.125 8.16851126 8e+06 2.824009e+04
## 721 0.124105018 1.09 1.09 0.2 0.125 0.32386184 8e+06 1.777138e+04
## 722 0.147034865 1.09 1.09 0.2 0.125 7.34107101 8e+06 2.511880e+04
## 723 0.114883542 1.09 1.09 0.2 0.125 0.98891074 8e+06 2.830250e+03
## 724 0.048351467 1.09 1.09 0.2 0.125 3.13557864 8e+06 3.724372e+03
## 725 0.220856717 1.09 1.09 0.2 0.125 0.67918628 8e+06 8.545286e+03
## 726 0.154256150 1.09 1.09 0.2 0.125 6.92528191 8e+06 1.335704e+04
## 727 0.110771908 1.09 1.09 0.2 0.125 0.27244504 8e+06 1.747020e+04
## 728 0.208913319 1.09 1.09 0.2 0.125 6.51615421 8e+06 1.435571e+04
## 729 0.332157218 1.09 1.09 0.2 0.125 0.43407091 8e+06 9.352828e+03
## 730 0.136734796 1.09 1.09 0.2 0.125 4.63241326 8e+06 1.679834e+04
## 731 0.385308060 1.09 1.09 0.2 0.125 0.51816445 8e+06 2.119432e+03
## 732 0.058027612 1.09 1.09 0.2 0.125 3.36344448 8e+06 2.512733e+03
## 733 0.116613427 1.09 1.09 0.2 0.125 0.96982292 8e+06 1.249471e+04
## 734 0.554318357 1.09 1.09 0.2 0.125 1.47138168 8e+06 1.938650e+04
## 735 0.102329570 1.09 1.09 0.2 0.125 0.49085568 8e+06 6.149461e+03
## 736 0.103831588 1.09 1.09 0.2 0.125 5.75030589 8e+06 9.668817e+03
## 737 0.129468397 1.09 1.09 0.2 0.125 0.27962840 8e+06 1.881979e+04
## 738 0.179999297 1.09 1.09 0.2 0.125 9.22479075 8e+06 2.362609e+04
## 739 0.292720544 1.09 1.09 0.2 0.125 0.30499537 8e+06 1.039081e+03
## 740 0.109767773 1.09 1.09 0.2 0.125 7.28611273 8e+06 1.418582e+03
## 741 0.282591123 1.09 1.09 0.2 0.125 0.27303722 8e+06 8.594757e+03
## 742 0.203218022 1.09 1.09 0.2 0.125 25.46712288 8e+06 1.233348e+04
## 743 0.166236146 1.09 1.09 0.2 0.125 0.95737097 8e+06 8.301316e+02
## 744 0.561162931 1.09 1.09 0.2 0.125 2.01116682 8e+06 8.873853e+02
## 745 0.080075365 1.09 1.09 0.2 0.125 0.58189545 8e+06 1.942509e+04
## 746 0.166358829 1.09 1.09 0.2 0.125 3.98458044 8e+06 3.200703e+04
## 747 0.365137005 1.09 1.09 0.2 0.125 0.54108436 8e+06 1.468755e+04
## 748 0.045707026 1.09 1.09 0.2 0.125 3.65398377 8e+06 1.790636e+04
## 749 0.204866821 1.09 1.09 0.2 0.125 0.89398363 8e+06 1.999559e+04
## 750 0.171771104 1.09 1.09 0.2 0.125 9.77449431 8e+06 3.104013e+04
## 751 0.167045756 1.09 1.09 0.2 0.125 0.76616201 8e+06 1.103532e+04
## 752 0.097942692 1.09 1.09 0.2 0.125 9.35259277 8e+06 1.336836e+04
## 753 0.269621746 1.09 1.09 0.2 0.125 0.48789046 8e+06 1.473779e+04
## 754 0.144217632 1.09 1.09 0.2 0.125 2.63471539 8e+06 2.525882e+04
## 755 0.074313021 1.09 1.09 0.2 0.125 0.66367845 8e+06 4.917580e+03
## 756 0.197561159 1.09 1.09 0.2 0.125 2.53557775 8e+06 5.068447e+03
## 757 0.327592055 1.09 1.09 0.2 0.125 0.23518174 8e+06 3.143945e+02
## 758 0.091813357 1.09 1.09 0.2 0.125 4.69901359 8e+06 2.474122e+02
## 759 0.273671787 1.09 1.09 0.2 0.125 0.90064091 8e+06 1.873521e+04
## 760 0.172021068 1.09 1.09 0.2 0.125 20.51884888 8e+06 2.707897e+04
## 761 0.236880030 1.09 1.09 0.2 0.125 0.90086202 8e+06 4.018499e+03
## 762 0.104030073 1.09 1.09 0.2 0.125 4.24462129 8e+06 5.872400e+03
## 763 0.075787051 1.09 1.09 0.2 0.125 0.60833620 8e+06 1.128160e+04
## 764 0.125127987 1.09 1.09 0.2 0.125 15.80663747 8e+06 1.577808e+04
## 765 0.367765916 1.09 1.09 0.2 0.125 0.49950571 8e+06 1.657361e+04
## 766 0.133807162 1.09 1.09 0.2 0.125 2.29942879 8e+06 2.557003e+04
## 767 0.110469940 1.09 1.09 0.2 0.125 0.69766896 8e+06 6.541322e+03
## 768 0.217684309 1.09 1.09 0.2 0.125 5.26753532 8e+06 9.392415e+03
## 769 0.215229374 1.09 1.09 0.2 0.125 0.43800249 8e+06 1.323613e+04
## 770 0.153859251 1.09 1.09 0.2 0.125 4.83433046 8e+06 1.709958e+04
## 771 0.319373129 1.09 1.09 0.2 0.125 0.83772111 8e+06 1.936788e+04
## 772 0.177599848 1.09 1.09 0.2 0.125 8.78410801 8e+06 2.433524e+04
## 773 0.172925704 1.09 1.09 0.2 0.125 0.75573220 8e+06 5.597391e+03
## 774 0.123253562 1.09 1.09 0.2 0.125 12.92778476 8e+06 8.538066e+03
## 775 0.376846279 1.09 1.09 0.2 0.125 0.39755896 8e+06 3.868355e+03
## 776 0.781603154 1.09 1.09 0.2 0.125 1.37235439 8e+06 5.823575e+03
## 777 0.388216248 1.09 1.09 0.2 0.125 0.93888854 8e+06 4.840848e+03
## 778 0.113691636 1.09 1.09 0.2 0.125 10.30716795 8e+06 7.449045e+03
## 779 0.244570743 1.09 1.09 0.2 0.125 0.42267070 8e+06 4.674800e+03
## 780 0.182606132 1.09 1.09 0.2 0.125 2.75207204 8e+06 8.574580e+03
## 781 0.274573708 1.09 1.09 0.2 0.125 0.30198017 8e+06 8.914980e+03
## 782 0.129474392 1.09 1.09 0.2 0.125 11.20824486 8e+06 1.431131e+04
## 783 0.344572284 1.09 1.09 0.2 0.125 0.65335474 8e+06 1.097234e+04
## 784 0.136331223 1.09 1.09 0.2 0.125 4.48270316 8e+06 1.892480e+04
## 785 0.312975360 1.09 1.09 0.2 0.125 0.87803793 8e+06 1.152625e+04
## 786 0.102458246 1.09 1.09 0.2 0.125 11.04915269 8e+06 1.488228e+04
## 787 0.080511245 1.09 1.09 0.2 0.125 0.60912319 8e+06 9.944743e+03
## 788 0.054867530 1.09 1.09 0.2 0.125 2.58594723 8e+06 1.460239e+04
## 789 0.345785052 1.09 1.09 0.2 0.125 0.59187132 8e+06 1.303161e+04
## 790 0.175426386 1.09 1.09 0.2 0.125 28.65948647 8e+06 2.207297e+04
## 791 0.111756957 1.09 1.09 0.2 0.125 0.29807181 8e+06 1.599398e+04
## 792 0.216181580 1.09 1.09 0.2 0.125 4.68819284 8e+06 1.008383e+04
## 793 0.370257969 1.09 1.09 0.2 0.125 0.38805383 8e+06 1.762017e+03
## 794 0.048515300 1.09 1.09 0.2 0.125 6.58866464 8e+06 2.311735e+03
## 795 0.193084939 1.09 1.09 0.2 0.125 0.75387112 8e+06 6.378318e+03
## 796 0.092125141 1.09 1.09 0.2 0.125 5.64991487 8e+06 8.476394e+03
## 797 0.180988979 1.09 1.09 0.2 0.125 0.52045039 8e+06 2.602071e+03
## 798 0.146532523 1.09 1.09 0.2 0.125 2.42661673 8e+06 6.051318e+03
## 799 0.144523017 1.09 1.09 0.2 0.125 0.91914284 8e+06 1.503557e+04
## 800 0.138271186 1.09 1.09 0.2 0.125 6.41278437 8e+06 2.770164e+04
## 801 0.222156810 1.09 1.09 0.2 0.125 0.64268967 8e+06 1.272862e+03
## 802 0.100372982 1.09 1.09 0.2 0.125 3.51376894 8e+06 1.629195e+03
## 803 0.287583737 1.09 1.09 0.2 0.125 0.76908121 8e+06 4.834326e+03
## 804 0.149570812 1.09 1.09 0.2 0.125 24.58772472 8e+06 8.449586e+03
## 805 0.256792779 1.09 1.09 0.2 0.125 0.66497964 8e+06 4.957165e+03
## 806 0.834818547 1.09 1.09 0.2 0.125 2.62480144 8e+06 5.706217e+03
## 807 0.312535768 1.09 1.09 0.2 0.125 0.82824072 8e+06 5.512612e+03
## 808 0.124365588 1.09 1.09 0.2 0.125 7.99907548 8e+06 4.823178e+03
## 809 0.053984283 1.09 1.09 0.2 0.125 0.93435713 8e+06 3.980976e+03
## 810 0.259545832 1.09 1.09 0.2 0.125 8.59636621 8e+06 8.511775e+03
## 811 0.196778027 1.09 1.09 0.2 0.125 0.36632507 8e+06 9.415164e+03
## 812 0.148067671 1.09 1.09 0.2 0.125 12.02930481 8e+06 1.319124e+04
## 813 0.382154921 1.09 1.09 0.2 0.125 0.88905584 8e+06 1.664512e+04
## 814 0.161865547 1.09 1.09 0.2 0.125 5.22353999 8e+06 2.617418e+04
## 815 0.317668855 1.09 1.09 0.2 0.125 0.91375650 8e+06 1.303039e+04
## 816 0.173121215 1.09 1.09 0.2 0.125 7.73254446 8e+06 1.904570e+04
## 817 0.150876974 1.09 1.09 0.2 0.125 0.44436983 8e+06 3.551361e+03
## 818 0.115611995 1.09 1.09 0.2 0.125 4.11128696 8e+06 5.705579e+03
## 819 0.064735711 1.09 1.09 0.2 0.125 0.74288402 8e+06 1.042741e+04
## 820 0.136478238 1.09 1.09 0.2 0.125 3.49250519 8e+06 1.272640e+04
## 821 0.326275017 1.09 1.09 0.2 0.125 0.92031172 8e+06 3.919539e+03
## 822 0.108747675 1.09 1.09 0.2 0.125 12.19074934 8e+06 6.211979e+03
## 823 0.292528539 1.09 1.09 0.2 0.125 0.63201190 8e+06 9.189796e+03
## 824 0.137929240 1.09 1.09 0.2 0.125 8.25011512 8e+06 1.823239e+04
## 825 0.220947313 1.09 1.09 0.2 0.125 0.75903637 8e+06 6.768670e+03
## 826 0.098668799 1.09 1.09 0.2 0.125 4.20250911 8e+06 1.062900e+04
## 827 0.363722580 1.09 1.09 0.2 0.125 0.70811125 8e+06 6.382392e+03
## 828 0.211406474 1.09 1.09 0.2 0.125 4.33319210 8e+06 9.631961e+03
## 829 0.250983946 1.09 1.09 0.2 0.125 0.74969593 8e+06 8.097715e+03
## 830 0.130773885 1.09 1.09 0.2 0.125 9.36853869 8e+06 1.375724e+04
## 831 0.122512960 1.09 1.09 0.2 0.125 0.43932610 8e+06 1.439296e+04
## 832 0.141120871 1.09 1.09 0.2 0.125 7.08428394 8e+06 2.379648e+04
## 833 0.357590408 1.09 1.09 0.2 0.125 0.53431631 8e+06 1.699415e+04
## 834 0.026758365 1.09 1.09 0.2 0.125 3.81491394 8e+06 1.527352e+04
## 835 0.319780329 1.09 1.09 0.2 0.125 0.56173080 8e+06 1.977209e+04
## 836 0.078579062 1.09 1.09 0.2 0.125 1.79305211 8e+06 2.696261e+04
## 837 0.237395709 1.09 1.09 0.2 0.125 0.42357213 8e+06 1.798274e+04
## 838 0.212363639 1.09 1.09 0.2 0.125 5.41109810 8e+06 2.971116e+04
## 839 0.086724414 1.09 1.09 0.2 0.125 0.44116148 8e+06 2.032164e+03
## 840 0.502897667 1.09 1.09 0.2 0.125 1.61296122 8e+06 2.780252e+03
## 841 0.162361138 1.09 1.09 0.2 0.125 0.67460305 8e+06 6.712047e+03
## 842 0.115493603 1.09 1.09 0.2 0.125 4.58157149 8e+06 9.665309e+03
## 843 0.311532863 1.09 1.09 0.2 0.125 0.89826377 8e+06 3.320829e+03
## 844 0.510126209 1.09 1.09 0.2 0.125 6.30672365 8e+06 4.614767e+03
## 845 0.282427167 1.09 1.09 0.2 0.125 0.35630140 8e+06 1.793062e+04
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## 877 0.229759513 1.09 1.09 0.2 0.125 0.29389833 8e+06 8.225242e+03
## 878 0.137981338 1.09 1.09 0.2 0.125 14.90234578 8e+06 1.272519e+04
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## 881 0.379363019 1.09 1.09 0.2 0.125 0.72522484 8e+06 5.173520e+03
## 882 0.132520265 1.09 1.09 0.2 0.125 4.24216045 8e+06 8.982135e+03
## 883 0.286520405 1.09 1.09 0.2 0.125 0.73596489 8e+06 1.557504e+04
## 884 0.170220339 1.09 1.09 0.2 0.125 24.22817366 8e+06 2.556544e+04
## 885 0.357129764 1.09 1.09 0.2 0.125 0.97457783 8e+06 1.977333e+04
## 886 0.152795905 1.09 1.09 0.2 0.125 9.09441145 8e+06 3.872932e+04
## 887 0.115470592 1.09 1.09 0.2 0.125 0.47182808 8e+06 9.366641e+03
## 888 0.174114580 1.09 1.09 0.2 0.125 3.49721834 8e+06 1.375547e+04
## 889 0.348793581 1.09 1.09 0.2 0.125 0.88352347 8e+06 8.296045e+03
## 890 0.116673757 1.09 1.09 0.2 0.125 15.83205218 8e+06 1.356107e+04
## 891 0.147463477 1.09 1.09 0.2 0.125 0.58192698 8e+06 1.566635e+04
## 892 0.185688039 1.09 1.09 0.2 0.125 10.76322623 8e+06 3.075841e+04
## 893 0.191203320 1.09 1.09 0.2 0.125 0.58601875 8e+06 1.945949e+04
## 894 0.134808893 1.09 1.09 0.2 0.125 4.57695822 8e+06 3.630668e+04
## 895 0.189976862 1.09 1.09 0.2 0.125 0.39907832 8e+06 1.703972e+04
## 896 0.188875899 1.09 1.09 0.2 0.125 10.80177699 8e+06 2.145646e+04
## 897 0.099318141 1.09 1.09 0.2 0.125 0.91483564 8e+06 1.127609e+04
## 898 0.548705641 1.09 1.09 0.2 0.125 1.72489988 8e+06 1.274320e+04
## 899 0.197825692 1.09 1.09 0.2 0.125 0.90090864 8e+06 1.354278e+04
## 900 0.158575173 1.09 1.09 0.2 0.125 23.69249531 8e+06 2.248506e+04
## 901 0.343115745 1.09 1.09 0.2 0.125 0.66876548 8e+06 1.257706e+04
## 902 0.098565002 1.09 1.09 0.2 0.125 21.39009621 8e+06 3.443573e+04
## 903 0.364477315 1.09 1.09 0.2 0.125 0.35240462 8e+06 1.301210e+04
## 904 0.126546266 1.09 1.09 0.2 0.125 5.08401094 8e+06 2.239838e+04
## 905 0.241265877 1.09 1.09 0.2 0.125 0.32756026 8e+06 1.930455e+04
## 906 0.577030048 1.09 1.09 0.2 0.125 4.66844180 8e+06 3.547384e+04
## 907 0.283001146 1.09 1.09 0.2 0.125 0.64033362 8e+06 1.252300e+04
## 908 0.580127976 1.09 1.09 0.2 0.125 7.45697439 8e+06 1.756361e+04
## 909 0.136583716 1.09 1.09 0.2 0.125 0.97013353 8e+06 8.643301e+03
## 910 0.108030702 1.09 1.09 0.2 0.125 4.62162590 8e+06 1.147980e+04
## 911 0.196566163 1.09 1.09 0.2 0.125 0.76742285 8e+06 3.413628e+03
## 912 0.527834445 1.09 1.09 0.2 0.125 1.25548253 8e+06 6.458406e+03
## 913 0.213483031 1.09 1.09 0.2 0.125 0.93360457 8e+06 1.962302e+04
## 914 0.140280657 1.09 1.09 0.2 0.125 4.34651111 8e+06 3.997314e+04
## 915 0.294898183 1.09 1.09 0.2 0.125 0.58556311 8e+06 1.426413e+04
## 916 0.180743560 1.09 1.09 0.2 0.125 11.63278114 8e+06 1.863717e+04
## 917 0.225835932 1.09 1.09 0.2 0.125 0.83493575 8e+06 1.901762e+04
## 918 0.196259732 1.09 1.09 0.2 0.125 54.70917179 8e+06 2.005188e+04
## 919 0.056051325 1.09 1.09 0.2 0.125 0.67486463 8e+06 9.499256e+03
## 920 0.153755002 1.09 1.09 0.2 0.125 2.76424037 8e+06 1.001222e+04
## 921 0.262567847 1.09 1.09 0.2 0.125 0.88574036 8e+06 1.790132e+04
## 922 0.603466148 1.09 1.09 0.2 0.125 2.56177473 8e+06 3.205884e+04
## 923 0.109790534 1.09 1.09 0.2 0.125 0.41509433 8e+06 1.449290e+04
## 924 0.150052322 1.09 1.09 0.2 0.125 6.76531537 8e+06 1.252645e+04
## 925 0.119483399 1.09 1.09 0.2 0.125 0.27053984 8e+06 1.516390e+04
## 926 0.659620014 1.09 1.09 0.2 0.125 4.55007165 8e+06 2.829340e+04
## 927 0.373159835 1.09 1.09 0.2 0.125 0.90312925 8e+06 8.933439e+02
## 928 0.081049096 1.09 1.09 0.2 0.125 2.72738568 8e+06 1.245952e+03
## 929 0.096579470 1.09 1.09 0.2 0.125 0.33866066 8e+06 4.261803e+03
## 930 0.173298139 1.09 1.09 0.2 0.125 6.13605087 8e+06 7.372503e+03
## 931 0.060659272 1.09 1.09 0.2 0.125 0.58046257 8e+06 1.996833e+04
## 932 0.200007223 1.09 1.09 0.2 0.125 8.57715428 8e+06 1.866825e+04
## 933 0.096902353 1.09 1.09 0.2 0.125 0.35563582 8e+06 1.389100e+04
## 934 0.118816722 1.09 1.09 0.2 0.125 1.83792279 8e+06 2.764727e+04
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## 936 0.147891970 1.09 1.09 0.2 0.125 6.32674991 8e+06 1.534111e+04
## 937 0.062753397 1.09 1.09 0.2 0.125 0.68462015 8e+06 1.960644e+04
## 938 0.168903044 1.09 1.09 0.2 0.125 4.34335913 8e+06 3.669295e+04
## 939 0.198212442 1.09 1.09 0.2 0.125 0.81617767 8e+06 5.704536e+03
## 940 0.058208062 1.09 1.09 0.2 0.125 5.12708620 8e+06 8.345343e+03
## 941 0.079373279 1.09 1.09 0.2 0.125 0.93344496 8e+06 1.829880e+04
## 942 0.121451187 1.09 1.09 0.2 0.125 7.41313432 8e+06 3.067092e+04
## 943 0.335871238 1.09 1.09 0.2 0.125 0.62463651 8e+06 6.292869e+02
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## 945 0.210443912 1.09 1.09 0.2 0.125 0.71784368 8e+06 4.340009e+03
## 946 0.681216657 1.09 1.09 0.2 0.125 8.13489582 8e+06 7.628061e+03
## 947 0.239566795 1.09 1.09 0.2 0.125 0.64788835 8e+06 6.206064e+03
## 948 0.125153133 1.09 1.09 0.2 0.125 2.77790380 8e+06 1.024790e+04
## 949 0.064334756 1.09 1.09 0.2 0.125 0.54941747 8e+06 5.504819e+02
## 950 0.566861023 1.09 1.09 0.2 0.125 2.47187165 8e+06 5.145752e+02
## 951 0.281296988 1.09 1.09 0.2 0.125 0.48474171 8e+06 3.411903e+02
## 952 0.095367919 1.09 1.09 0.2 0.125 3.81121880 8e+06 3.253364e+02
## 953 0.209190116 1.09 1.09 0.2 0.125 0.27951499 8e+06 5.045648e+03
## 954 0.057282240 1.09 1.09 0.2 0.125 6.57282546 8e+06 6.701504e+03
## 955 0.263309278 1.09 1.09 0.2 0.125 0.23185844 8e+06 6.668256e+03
## 956 0.134048345 1.09 1.09 0.2 0.125 6.09305138 8e+06 1.207709e+04
## 957 0.198061249 1.09 1.09 0.2 0.125 0.28777116 8e+06 7.871815e+03
## 958 0.128139348 1.09 1.09 0.2 0.125 5.51897354 8e+06 1.283459e+04
## 959 0.238454773 1.09 1.09 0.2 0.125 0.71354541 8e+06 9.196577e+03
## 960 0.201018749 1.09 1.09 0.2 0.125 5.19348104 8e+06 1.285399e+04
## 961 0.245622301 1.09 1.09 0.2 0.125 0.26059884 8e+06 3.892583e+03
## 962 0.087512233 1.09 1.09 0.2 0.125 3.06598237 8e+06 4.290972e+03
## 963 0.066924138 1.09 1.09 0.2 0.125 0.92715390 8e+06 4.245083e+03
## 964 0.113317367 1.09 1.09 0.2 0.125 8.76148523 8e+06 6.828567e+03
## 965 0.182977151 1.09 1.09 0.2 0.125 0.79228502 8e+06 1.516271e+04
## 966 0.159166576 1.09 1.09 0.2 0.125 3.37033207 8e+06 3.389615e+04
## 967 0.341942977 1.09 1.09 0.2 0.125 0.43350631 8e+06 1.954099e+04
## 968 0.185421244 1.09 1.09 0.2 0.125 9.49483477 8e+06 3.866702e+04
## 969 0.191030882 1.09 1.09 0.2 0.125 0.66141869 8e+06 7.913645e+03
## 970 0.203857692 1.09 1.09 0.2 0.125 15.52967571 8e+06 9.844663e+03
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## 975 0.165227893 1.09 1.09 0.2 0.125 0.20769699 8e+06 1.058914e+04
## 976 0.112271753 1.09 1.09 0.2 0.125 4.07389639 8e+06 1.609994e+04
## 977 0.173448322 1.09 1.09 0.2 0.125 0.87935989 8e+06 7.741224e+03
## 978 0.125777536 1.09 1.09 0.2 0.125 11.25838292 8e+06 1.325889e+04
## 979 0.237075833 1.09 1.09 0.2 0.125 0.94940177 8e+06 1.363068e+04
## 980 0.154258372 1.09 1.09 0.2 0.125 3.59091343 8e+06 2.847943e+04
## 981 0.152541025 1.09 1.09 0.2 0.125 0.73345685 8e+06 1.162271e+04
## 982 0.199544589 1.09 1.09 0.2 0.125 10.64451197 8e+06 1.494384e+04
## 983 0.191290440 1.09 1.09 0.2 0.125 0.37515957 8e+06 9.387260e+03
## 984 0.121688270 1.09 1.09 0.2 0.125 4.36221321 8e+06 1.338403e+04
## 985 0.283658821 1.09 1.09 0.2 0.125 0.89789449 8e+06 6.733359e+03
## 986 0.206254364 1.09 1.09 0.2 0.125 11.01883416 8e+06 1.002469e+04
## 987 0.250935273 1.09 1.09 0.2 0.125 0.85008890 8e+06 4.928852e+03
## 988 0.056704465 1.09 1.09 0.2 0.125 8.63445577 8e+06 5.785824e+03
## 989 0.201357869 1.09 1.09 0.2 0.125 0.72225676 8e+06 1.074133e+04
## 990 0.143905784 1.09 1.09 0.2 0.125 11.50011109 8e+06 2.815711e+04
## 991 0.295783929 1.09 1.09 0.2 0.125 0.24764337 8e+06 1.998857e+04
## 992 0.121323289 1.09 1.09 0.2 0.125 3.61837895 8e+06 3.231412e+04
## 993 0.309078417 1.09 1.09 0.2 0.125 0.58983877 8e+06 1.598914e+04
## 994 0.163277399 1.09 1.09 0.2 0.125 6.15144793 8e+06 2.200121e+04
## 995 0.142036819 1.09 1.09 0.2 0.125 0.86154943 8e+06 1.293124e+03
## 996 0.042868628 1.09 1.09 0.2 0.125 17.37198887 8e+06 1.293175e+03
## 997 0.288939784 1.09 1.09 0.2 0.125 0.81924944 8e+06 1.772594e+04
## 998 0.182281503 1.09 1.09 0.2 0.125 5.01449092 8e+06 1.922934e+04
## 999 0.073547775 1.09 1.09 0.2 0.125 0.95756328 8e+06 9.206851e+03
## 1000 0.168400176 1.09 1.09 0.2 0.125 8.68533208 8e+06 1.229061e+04
## 1001 0.389173886 1.09 1.09 0.2 0.125 0.56313378 8e+06 1.308981e+04
## 1002 0.137996866 1.09 1.09 0.2 0.125 5.13359137 8e+06 1.974209e+04
## 1003 0.319325511 1.09 1.09 0.2 0.125 0.74193541 8e+06 1.295330e+04
## 1004 0.125254133 1.09 1.09 0.2 0.125 35.65949800 8e+06 2.637303e+04
## 1005 0.255161196 1.09 1.09 0.2 0.125 0.92464292 8e+06 5.445359e+03
## 1006 0.105554340 1.09 1.09 0.2 0.125 3.69431895 8e+06 7.633226e+03
## 1007 0.395722318 1.09 1.09 0.2 0.125 0.63982305 8e+06 1.763515e+04
## 1008 0.175035547 1.09 1.09 0.2 0.125 4.38156314 8e+06 2.586919e+04
## 1009 0.194877379 1.09 1.09 0.2 0.125 0.57384546 8e+06 9.405643e+03
## 1010 0.159650595 1.09 1.09 0.2 0.125 2.93256200 8e+06 1.251821e+04
## 1011 0.387926405 1.09 1.09 0.2 0.125 0.49130879 8e+06 6.286227e+03
## 1012 0.106033838 1.09 1.09 0.2 0.125 8.84968420 8e+06 9.699535e+03
## 1013 0.085083011 1.09 1.09 0.2 0.125 0.25805859 8e+06 9.384460e+03
## 1014 0.099312828 1.09 1.09 0.2 0.125 4.83322261 8e+06 1.432983e+04
## 1015 0.298270762 1.09 1.09 0.2 0.125 0.21270053 8e+06 3.625671e+03
## 1016 0.143962166 1.09 1.09 0.2 0.125 3.94104933 8e+06 7.032480e+03
## 1017 0.107125674 1.09 1.09 0.2 0.125 0.60083228 8e+06 1.146261e+04
## 1018 0.150161912 1.09 1.09 0.2 0.125 4.20261762 8e+06 1.971668e+04
## 1019 0.350086749 1.09 1.09 0.2 0.125 0.32771442 8e+06 5.894596e+03
## 1020 0.100967160 1.09 1.09 0.2 0.125 9.51804974 8e+06 8.019508e+03
## 1021 0.237760934 1.09 1.09 0.2 0.125 0.33114212 8e+06 1.472839e+04
## 1022 0.131098927 1.09 1.09 0.2 0.125 11.39597615 8e+06 1.935194e+04
## 1023 0.187177546 1.09 1.09 0.2 0.125 0.96790448 8e+06 8.441747e+03
## 1024 0.136905696 1.09 1.09 0.2 0.125 8.63101637 8e+06 1.499816e+04
## 1025 0.132293141 1.09 1.09 0.2 0.125 0.90596566 8e+06 1.420424e+04
## 1026 0.136646109 1.09 1.09 0.2 0.125 5.36836822 8e+06 2.308084e+04
## 1027 0.345074143 1.09 1.09 0.2 0.125 0.80065096 8e+06 1.401676e+02
## 1028 0.622966331 1.09 1.09 0.2 0.125 2.68573745 8e+06 1.819301e+02
## 1029 0.154953962 1.09 1.09 0.2 0.125 0.86440344 8e+06 1.516817e+04
## 1030 0.124857134 1.09 1.09 0.2 0.125 5.31239485 8e+06 2.277980e+04
## 1031 0.365839046 1.09 1.09 0.2 0.125 0.88830658 8e+06 1.023860e+04
## 1032 0.120479099 1.09 1.09 0.2 0.125 3.27609552 8e+06 2.026938e+04
## 1033 0.104468066 1.09 1.09 0.2 0.125 0.27394264 8e+06 1.149823e+04
## 1034 0.144378603 1.09 1.09 0.2 0.125 4.49593202 8e+06 1.906844e+04
## 1035 0.239376347 1.09 1.09 0.2 0.125 0.38441292 8e+06 1.548006e+04
## 1036 0.161442555 1.09 1.09 0.2 0.125 4.47436803 8e+06 2.513973e+04
## 1037 0.305178117 1.09 1.09 0.2 0.125 0.60683177 8e+06 5.653218e+03
## 1038 0.627615176 1.09 1.09 0.2 0.125 6.70348574 8e+06 9.921950e+03
## 1039 0.395607331 1.09 1.09 0.2 0.125 0.30903973 8e+06 1.594981e+03
## 1040 0.111472893 1.09 1.09 0.2 0.125 5.65403444 8e+06 1.739691e+03
## 1041 0.327325143 1.09 1.09 0.2 0.125 0.43226352 8e+06 7.054169e+03
## 1042 0.618109086 1.09 1.09 0.2 0.125 1.32454260 8e+06 9.646494e+03
## 1043 0.076109374 1.09 1.09 0.2 0.125 0.50140885 8e+06 2.305515e+03
## 1044 0.053702965 1.09 1.09 0.2 0.125 5.12193297 8e+06 2.798190e+03
## 1045 0.304683606 1.09 1.09 0.2 0.125 0.68905229 8e+06 2.182687e+03
## 1046 0.697485386 1.09 1.09 0.2 0.125 3.02282811 8e+06 3.870385e+03
## 1047 0.245733837 1.09 1.09 0.2 0.125 0.99423337 8e+06 8.241779e+03
## 1048 0.130580362 1.09 1.09 0.2 0.125 6.03556138 8e+06 1.555287e+04
## 1049 0.366041024 1.09 1.09 0.2 0.125 0.50436254 8e+06 1.643187e+04
## 1050 0.184205757 1.09 1.09 0.2 0.125 4.77618116 8e+06 1.695389e+04
## 1051 0.262584007 1.09 1.09 0.2 0.125 0.33345657 8e+06 1.556336e+04
## 1052 0.151399045 1.09 1.09 0.2 0.125 5.07938544 8e+06 1.687358e+04
## 1053 0.200710091 1.09 1.09 0.2 0.125 0.77737303 8e+06 3.993401e+03
## 1054 0.109835847 1.09 1.09 0.2 0.125 3.80731877 8e+06 7.469111e+03
## 1055 0.389668486 1.09 1.09 0.2 0.125 0.82344105 8e+06 1.136641e+04
## 1056 0.600385950 1.09 1.09 0.2 0.125 1.19788053 8e+06 1.972256e+04
## 1057 0.240755958 1.09 1.09 0.2 0.125 0.32004419 8e+06 2.992814e+03
## 1058 0.138371388 1.09 1.09 0.2 0.125 6.80738490 8e+06 5.376350e+03
## 1059 0.269171966 1.09 1.09 0.2 0.125 0.34191135 8e+06 2.045476e+03
## 1060 0.169316203 1.09 1.09 0.2 0.125 4.87489156 8e+06 4.169251e+03
## 1061 0.326025938 1.09 1.09 0.2 0.125 0.61538242 8e+06 6.990286e+02
## 1062 0.592536561 1.09 1.09 0.2 0.125 1.56276489 8e+06 8.940970e+02
## 1063 0.259511739 1.09 1.09 0.2 0.125 0.49792240 8e+06 4.019611e+03
## 1064 0.112870011 1.09 1.09 0.2 0.125 6.95817875 8e+06 5.202550e+03
## 1065 0.295699974 1.09 1.09 0.2 0.125 0.67924857 8e+06 1.679960e+04
## 1066 0.161456698 1.09 1.09 0.2 0.125 12.32681267 8e+06 2.571270e+04
## 1067 0.293766217 1.09 1.09 0.2 0.125 0.53245005 8e+06 2.110546e+03
## 1068 0.108657347 1.09 1.09 0.2 0.125 6.19096141 8e+06 3.023861e+03
## 1069 0.210578113 1.09 1.09 0.2 0.125 0.99433312 8e+06 1.949311e+04
## 1070 0.167954865 1.09 1.09 0.2 0.125 6.71133275 8e+06 3.553166e+04
## 1071 0.345814438 1.09 1.09 0.2 0.125 0.24137245 8e+06 1.491309e+04
## 1072 0.149964266 1.09 1.09 0.2 0.125 7.70949831 8e+06 2.757038e+04
## 1073 0.349554704 1.09 1.09 0.2 0.125 0.74025975 8e+06 1.667217e+04
## 1074 0.556957926 1.09 1.09 0.2 0.125 4.51670861 8e+06 2.728347e+04
## 1075 0.095133578 1.09 1.09 0.2 0.125 0.21818769 8e+06 1.766339e+04
## 1076 0.125796039 1.09 1.09 0.2 0.125 1.91458545 8e+06 2.779833e+04
## 1077 0.327825364 1.09 1.09 0.2 0.125 0.75147304 8e+06 1.383271e+04
## 1078 0.146198428 1.09 1.09 0.2 0.125 10.99276197 8e+06 2.582717e+04
## 1079 0.128467985 1.09 1.09 0.2 0.125 0.26841170 8e+06 1.147746e+04
## 1080 0.158028580 1.09 1.09 0.2 0.125 4.94134285 8e+06 1.577044e+04
## 1081 0.219178146 1.09 1.09 0.2 0.125 0.94142623 8e+06 1.732602e+04
## 1082 0.149060462 1.09 1.09 0.2 0.125 4.22670234 8e+06 3.080201e+04
## 1083 0.216822579 1.09 1.09 0.2 0.125 0.58163044 8e+06 1.335322e+03
## 1084 0.503977411 1.09 1.09 0.2 0.125 1.31125206 8e+06 1.746210e+03
## 1085 0.381615254 1.09 1.09 0.2 0.125 0.83097560 8e+06 1.769217e+04
## 1086 0.143084069 1.09 1.09 0.2 0.125 3.62535220 8e+06 2.518773e+04
## 1087 0.364144538 1.09 1.09 0.2 0.125 0.95147418 8e+06 1.700164e+04
## 1088 0.168394556 1.09 1.09 0.2 0.125 6.90319365 8e+06 1.440042e+04
## 1089 0.368106281 1.09 1.09 0.2 0.125 0.77374332 8e+06 1.721014e+04
## 1090 0.189383266 1.09 1.09 0.2 0.125 8.15161396 8e+06 2.112704e+04
## 1091 0.056714143 1.09 1.09 0.2 0.125 0.48396499 8e+06 1.663892e+04
## 1092 0.615074228 1.09 1.09 0.2 0.125 2.63621023 8e+06 3.163754e+04
## 1093 0.203208546 1.09 1.09 0.2 0.125 0.43578797 8e+06 8.026534e+03
## 1094 0.131605706 1.09 1.09 0.2 0.125 8.58708896 8e+06 1.621986e+04
## 1095 0.118517400 1.09 1.09 0.2 0.125 0.78614871 8e+06 3.942527e+03
## 1096 0.517640250 1.09 1.09 0.2 0.125 4.30657853 8e+06 6.294138e+03
## 1097 0.296457832 1.09 1.09 0.2 0.125 0.54761777 8e+06 1.617624e+04
## 1098 0.149372082 1.09 1.09 0.2 0.125 13.22464033 8e+06 3.228447e+04
## 1099 0.230594337 1.09 1.09 0.2 0.125 0.74891843 8e+06 6.112745e+03
## 1100 0.097472400 1.09 1.09 0.2 0.125 12.29613320 8e+06 6.545051e+03
## 1101 0.373203349 1.09 1.09 0.2 0.125 0.55900378 8e+06 8.398420e+03
## 1102 0.114504085 1.09 1.09 0.2 0.125 3.63296444 8e+06 1.282532e+04
## 1103 0.335916080 1.09 1.09 0.2 0.125 0.68795262 8e+06 9.496768e+03
## 1104 0.200895448 1.09 1.09 0.2 0.125 6.21018388 8e+06 1.077267e+04
## 1105 0.103985470 1.09 1.09 0.2 0.125 0.22976169 8e+06 1.380892e+04
## 1106 0.141304552 1.09 1.09 0.2 0.125 11.03259422 8e+06 2.710872e+04
## 1107 0.398013606 1.09 1.09 0.2 0.125 0.30624551 8e+06 4.923907e+03
## 1108 0.048367047 1.09 1.09 0.2 0.125 8.89493568 8e+06 5.854954e+03
## 1109 0.190019423 1.09 1.09 0.2 0.125 0.84321048 8e+06 1.779135e+04
## 1110 0.159192591 1.09 1.09 0.2 0.125 16.29564713 8e+06 4.081962e+04
## 1111 0.171319800 1.09 1.09 0.2 0.125 0.86924951 8e+06 2.470246e+03
## 1112 0.101712475 1.09 1.09 0.2 0.125 3.64776206 8e+06 3.836511e+03
## 1113 0.196588880 1.09 1.09 0.2 0.125 0.27140950 8e+06 5.719514e+03
## 1114 0.161147620 1.09 1.09 0.2 0.125 7.60623082 8e+06 9.439801e+03
## 1115 0.253338730 1.09 1.09 0.2 0.125 0.60012716 8e+06 1.706089e+04
## 1116 0.618248166 1.09 1.09 0.2 0.125 0.84732376 8e+06 2.542935e+04
## 1117 0.301172205 1.09 1.09 0.2 0.125 0.73386364 8e+06 9.936858e+03
## 1118 0.180067142 1.09 1.09 0.2 0.125 9.17294410 8e+06 1.249595e+04
## 1119 0.223613809 1.09 1.09 0.2 0.125 0.89025102 8e+06 1.520304e+04
## 1120 0.721716886 1.09 1.09 0.2 0.125 1.71659433 8e+06 2.687317e+04
## 1121 0.102047113 1.09 1.09 0.2 0.125 0.53743578 8e+06 7.054888e+03
## 1122 0.293228912 1.09 1.09 0.2 0.125 0.66621120 8e+06 7.340109e+03
## 1123 0.080352734 1.09 1.09 0.2 0.125 0.71523636 8e+06 1.054388e+04
## 1124 0.128705113 1.09 1.09 0.2 0.125 7.96806078 8e+06 1.829561e+04
## 1125 0.277184673 1.09 1.09 0.2 0.125 0.48726242 8e+06 1.419612e+04
## 1126 0.167642207 1.09 1.09 0.2 0.125 8.66483708 8e+06 1.913427e+04
## 1127 0.299685940 1.09 1.09 0.2 0.125 0.91531521 8e+06 2.363963e+03
## 1128 0.623473159 1.09 1.09 0.2 0.125 2.13157670 8e+06 3.423666e+03
## 1129 0.218258648 1.09 1.09 0.2 0.125 0.47619076 8e+06 7.201483e+03
## 1130 0.119515379 1.09 1.09 0.2 0.125 7.18268249 8e+06 1.133381e+04
## 1131 0.285240003 1.09 1.09 0.2 0.125 0.97614530 8e+06 3.384938e+03
## 1132 0.057595370 1.09 1.09 0.2 0.125 8.20622526 8e+06 4.783138e+03
## 1133 0.397765954 1.09 1.09 0.2 0.125 0.69584036 8e+06 1.324209e+04
## 1134 0.132070084 1.09 1.09 0.2 0.125 3.76389347 8e+06 2.407761e+04
## 1135 0.070031466 1.09 1.09 0.2 0.125 0.27135842 8e+06 6.412912e+03
## 1136 0.049867102 1.09 1.09 0.2 0.125 7.08907029 8e+06 7.862301e+03
## 1137 0.189792708 1.09 1.09 0.2 0.125 0.50642004 8e+06 5.386981e+03
## 1138 0.107801425 1.09 1.09 0.2 0.125 5.85971508 8e+06 8.625684e+03
## 1139 0.342820770 1.09 1.09 0.2 0.125 0.95599322 8e+06 7.092833e+03
## 1140 0.129995550 1.09 1.09 0.2 0.125 2.03927237 8e+06 1.376444e+04
## 1141 0.083616312 1.09 1.09 0.2 0.125 0.59776146 8e+06 5.732866e+03
## 1142 0.116981722 1.09 1.09 0.2 0.125 4.37071482 8e+06 1.095248e+04
## 1143 0.110020400 1.09 1.09 0.2 0.125 0.38263916 8e+06 9.624743e+03
## 1144 0.128666159 1.09 1.09 0.2 0.125 6.37006752 8e+06 1.621723e+04
## 1145 0.217705197 1.09 1.09 0.2 0.125 0.29107459 8e+06 1.649504e+04
## 1146 0.164043652 1.09 1.09 0.2 0.125 4.25689824 8e+06 2.098357e+04
## 1147 0.118977094 1.09 1.09 0.2 0.125 0.22346985 8e+06 9.904399e+03
## 1148 0.128794618 1.09 1.09 0.2 0.125 5.28005562 8e+06 1.742838e+04
## 1149 0.185834045 1.09 1.09 0.2 0.125 0.33182718 8e+06 1.281883e+04
## 1150 0.677580509 1.09 1.09 0.2 0.125 2.26977706 8e+06 2.130386e+04
## 1151 0.164389647 1.09 1.09 0.2 0.125 0.82461423 8e+06 1.410025e+03
## 1152 0.495392163 1.09 1.09 0.2 0.125 1.58436347 8e+06 1.356050e+03
## 1153 0.396137975 1.09 1.09 0.2 0.125 0.33375094 8e+06 6.509125e+03
## 1154 0.121331877 1.09 1.09 0.2 0.125 4.28500706 8e+06 9.832574e+03
## 1155 0.061361426 1.09 1.09 0.2 0.125 0.61677904 8e+06 5.833100e+03
## 1156 0.140999031 1.09 1.09 0.2 0.125 5.11956087 8e+06 9.265645e+03
## 1157 0.110258971 1.09 1.09 0.2 0.125 0.28999523 8e+06 5.146899e+03
## 1158 0.104729552 1.09 1.09 0.2 0.125 3.23510900 8e+06 7.226571e+03
## 1159 0.357419650 1.09 1.09 0.2 0.125 0.32119963 8e+06 9.207804e+03
## 1160 0.553634153 1.09 1.09 0.2 0.125 1.26553231 8e+06 1.688141e+04
## 1161 0.227312781 1.09 1.09 0.2 0.125 0.90566185 8e+06 9.492791e+03
## 1162 0.033682497 1.09 1.09 0.2 0.125 9.10806379 8e+06 9.774942e+03
## 1163 0.393587363 1.09 1.09 0.2 0.125 0.34183441 8e+06 7.234803e+03
## 1164 0.125200373 1.09 1.09 0.2 0.125 6.15024225 8e+06 1.372465e+04
## 1165 0.178083736 1.09 1.09 0.2 0.125 0.84200622 8e+06 1.898974e+03
## 1166 0.058429946 1.09 1.09 0.2 0.125 7.19012572 8e+06 2.189124e+03
## 1167 0.332634913 1.09 1.09 0.2 0.125 0.45582671 8e+06 1.844071e+04
## 1168 0.139353603 1.09 1.09 0.2 0.125 6.41847049 8e+06 3.505992e+04
## 1169 0.069444958 1.09 1.09 0.2 0.125 0.78411125 8e+06 1.057284e+04
## 1170 0.249156985 1.09 1.09 0.2 0.125 15.16804365 8e+06 9.975867e+03
## 1171 0.213193397 1.09 1.09 0.2 0.125 0.58107998 8e+06 1.016829e+04
## 1172 0.168275640 1.09 1.09 0.2 0.125 12.91737551 8e+06 1.334110e+04
## 1173 0.363882423 1.09 1.09 0.2 0.125 0.26022103 8e+06 8.377815e+03
## 1174 0.638042087 1.09 1.09 0.2 0.125 1.45733721 8e+06 1.294549e+04
## 1175 0.098501354 1.09 1.09 0.2 0.125 0.35066938 8e+06 9.202424e+03
## 1176 0.130139957 1.09 1.09 0.2 0.125 3.51694271 8e+06 1.417317e+04
## 1177 0.382812073 1.09 1.09 0.2 0.125 0.64600371 8e+06 1.149604e+04
## 1178 0.151471197 1.09 1.09 0.2 0.125 4.29629860 8e+06 1.896501e+04
## 1179 0.249887055 1.09 1.09 0.2 0.125 0.35185954 8e+06 7.971573e+03
## 1180 0.124930169 1.09 1.09 0.2 0.125 4.60126869 8e+06 1.203747e+04
## 1181 0.203606489 1.09 1.09 0.2 0.125 0.93325167 8e+06 4.625372e+03
## 1182 0.105221708 1.09 1.09 0.2 0.125 3.63334198 8e+06 6.902042e+03
## 1183 0.110254303 1.09 1.09 0.2 0.125 0.31585976 8e+06 1.492726e+04
## 1184 0.198175834 1.09 1.09 0.2 0.125 10.06241403 8e+06 1.340194e+04
## 1185 0.343932940 1.09 1.09 0.2 0.125 0.74389338 8e+06 2.298655e+03
## 1186 0.101911082 1.09 1.09 0.2 0.125 7.14361053 8e+06 3.560798e+03
## 1187 0.107943931 1.09 1.09 0.2 0.125 0.37815891 8e+06 1.899585e+04
## 1188 0.147137897 1.09 1.09 0.2 0.125 6.78674109 8e+06 3.918442e+04
## 1189 0.165345693 1.09 1.09 0.2 0.125 0.96533504 8e+06 6.147808e+03
## 1190 0.728275560 1.09 1.09 0.2 0.125 1.55898103 8e+06 1.170897e+04
## 1191 0.273662123 1.09 1.09 0.2 0.125 0.43974734 8e+06 2.965889e+03
## 1192 0.240017927 1.09 1.09 0.2 0.125 2.85706397 8e+06 5.465288e+03
## 1193 0.158768152 1.09 1.09 0.2 0.125 0.73789277 8e+06 5.472106e+03
## 1194 0.525611545 1.09 1.09 0.2 0.125 3.53845855 8e+06 8.065243e+03
## 1195 0.081093252 1.09 1.09 0.2 0.125 0.44072410 8e+06 1.613211e+04
## 1196 0.191957839 1.09 1.09 0.2 0.125 5.43805285 8e+06 2.430622e+04
## 1197 0.306932643 1.09 1.09 0.2 0.125 0.31104918 8e+06 1.652702e+04
## 1198 0.177209657 1.09 1.09 0.2 0.125 10.41352398 8e+06 1.912361e+04
## 1199 0.246179116 1.09 1.09 0.2 0.125 0.32171908 8e+06 1.535501e+04
## 1200 0.200522662 1.09 1.09 0.2 0.125 4.92565162 8e+06 1.675932e+04
## 1201 0.296916053 1.09 1.09 0.2 0.125 0.83938251 8e+06 1.695635e+03
## 1202 0.047755238 1.09 1.09 0.2 0.125 4.13862483 8e+06 1.594796e+03
## 1203 0.187965673 1.09 1.09 0.2 0.125 0.82753056 8e+06 5.868488e+03
## 1204 0.128011671 1.09 1.09 0.2 0.125 3.67571415 8e+06 9.842463e+03
## 1205 0.295129053 1.09 1.09 0.2 0.125 0.47739946 8e+06 1.907185e+04
## 1206 0.185782718 1.09 1.09 0.2 0.125 39.03027921 8e+06 4.219975e+04
## 1207 0.186630325 1.09 1.09 0.2 0.125 0.85560528 8e+06 2.148165e+03
## 1208 0.383260901 1.09 1.09 0.2 0.125 3.05786712 8e+06 2.060108e+03
## 1209 0.114039832 1.09 1.09 0.2 0.125 0.34695179 8e+06 1.949230e+04
## 1210 0.142068905 1.09 1.09 0.2 0.125 7.67197063 8e+06 3.796939e+04
## 1211 0.187709659 1.09 1.09 0.2 0.125 0.92595854 8e+06 6.341696e+03
## 1212 0.128595207 1.09 1.09 0.2 0.125 10.98809857 8e+06 1.010003e+04
## 1213 0.384442634 1.09 1.09 0.2 0.125 0.58824350 8e+06 1.401468e+04
## 1214 0.204863049 1.09 1.09 0.2 0.125 10.09997502 8e+06 1.680265e+04
## 1215 0.184770100 1.09 1.09 0.2 0.125 0.67834390 8e+06 1.011510e+04
## 1216 0.123950359 1.09 1.09 0.2 0.125 12.60897742 8e+06 1.918859e+04
## 1217 0.310281317 1.09 1.09 0.2 0.125 0.86354879 8e+06 7.741653e+03
## 1218 0.584948006 1.09 1.09 0.2 0.125 1.41785391 8e+06 1.381151e+04
## 1219 0.129667862 1.09 1.09 0.2 0.125 0.74149755 8e+06 8.486504e+03
## 1220 0.167856366 1.09 1.09 0.2 0.125 3.55792482 8e+06 1.169832e+04
## 1221 0.323975631 1.09 1.09 0.2 0.125 0.77431483 8e+06 6.543925e+03
## 1222 0.097973223 1.09 1.09 0.2 0.125 6.89311994 8e+06 9.107683e+03
## 1223 0.354459772 1.09 1.09 0.2 0.125 0.34438544 8e+06 6.120224e+03
## 1224 0.128042344 1.09 1.09 0.2 0.125 3.32968951 8e+06 8.670397e+03
## 1225 0.180406632 1.09 1.09 0.2 0.125 0.91882100 8e+06 1.287355e+04
## 1226 0.127224074 1.09 1.09 0.2 0.125 15.95295362 8e+06 2.034642e+04
## 1227 0.276916750 1.09 1.09 0.2 0.125 0.90636524 8e+06 1.074165e+04
## 1228 0.253850123 1.09 1.09 0.2 0.125 5.44668016 8e+06 9.978358e+03
## 1229 0.283423420 1.09 1.09 0.2 0.125 0.46000995 8e+06 1.968590e+04
## 1230 0.134762531 1.09 1.09 0.2 0.125 3.23905988 8e+06 2.958412e+04
## 1231 0.261648086 1.09 1.09 0.2 0.125 0.32244435 8e+06 1.182450e+04
## 1232 0.144628325 1.09 1.09 0.2 0.125 4.51526037 8e+06 1.820894e+04
## 1233 0.377871795 1.09 1.09 0.2 0.125 0.48402182 8e+06 3.084573e+03
## 1234 0.064551357 1.09 1.09 0.2 0.125 5.63569712 8e+06 3.447970e+03
## 1235 0.373573619 1.09 1.09 0.2 0.125 0.46227175 8e+06 7.345468e+03
## 1236 0.115255582 1.09 1.09 0.2 0.125 5.25967236 8e+06 1.128088e+04
## 1237 0.164848193 1.09 1.09 0.2 0.125 0.43941695 8e+06 1.873683e+04
## 1238 0.190656306 1.09 1.09 0.2 0.125 10.81244360 8e+06 2.730036e+04
## 1239 0.114185089 1.09 1.09 0.2 0.125 0.68512323 8e+06 1.732188e+04
## 1240 0.738323939 1.09 1.09 0.2 0.125 1.98313923 8e+06 3.055604e+04
## 1241 0.372689086 1.09 1.09 0.2 0.125 0.44855983 8e+06 1.488541e+04
## 1242 0.194724907 1.09 1.09 0.2 0.125 6.40017009 8e+06 1.950934e+04
## 1243 0.186818504 1.09 1.09 0.2 0.125 0.76146542 8e+06 1.927034e+02
## 1244 0.568781966 1.09 1.09 0.2 0.125 2.51615696 8e+06 1.618604e+02
## 1245 0.241012689 1.09 1.09 0.2 0.125 0.29455818 8e+06 4.683931e+03
## 1246 0.152951445 1.09 1.09 0.2 0.125 6.16793636 8e+06 8.465585e+03
## 1247 0.240872828 1.09 1.09 0.2 0.125 0.23158578 8e+06 1.604338e+04
## 1248 0.132971945 1.09 1.09 0.2 0.125 3.87694583 8e+06 2.728500e+04
## 1249 0.377686166 1.09 1.09 0.2 0.125 0.40440011 8e+06 4.492491e+03
## 1250 0.624128973 1.09 1.09 0.2 0.125 3.29898901 8e+06 6.380477e+03
## 1251 0.088829776 1.09 1.09 0.2 0.125 0.77249202 8e+06 4.152413e+03
## 1252 0.072553288 1.09 1.09 0.2 0.125 2.62723204 8e+06 6.474881e+03
## 1253 0.061395101 1.09 1.09 0.2 0.125 0.42782309 8e+06 1.951941e+03
## 1254 0.046160804 1.09 1.09 0.2 0.125 3.79061110 8e+06 1.648405e+03
## 1255 0.265917902 1.09 1.09 0.2 0.125 0.83670430 8e+06 1.106726e+04
## 1256 0.123370064 1.09 1.09 0.2 0.125 13.20049490 8e+06 2.014978e+04
## 1257 0.323269401 1.09 1.09 0.2 0.125 0.87298450 8e+06 1.231987e+04
## 1258 0.134438800 1.09 1.09 0.2 0.125 4.25818149 8e+06 2.320004e+04
## 1259 0.227789370 1.09 1.09 0.2 0.125 0.82672347 8e+06 1.088566e+04
## 1260 0.123647011 1.09 1.09 0.2 0.125 4.43259972 8e+06 1.682937e+04
## 1261 0.312126375 1.09 1.09 0.2 0.125 0.79916490 8e+06 3.760946e+03
## 1262 0.121011681 1.09 1.09 0.2 0.125 5.12355921 8e+06 4.822954e+03
## 1263 0.129076046 1.09 1.09 0.2 0.125 0.26039599 8e+06 6.748529e+02
## 1264 0.614688097 1.09 1.09 0.2 0.125 1.79556855 8e+06 6.262844e+02
## 1265 0.329711652 1.09 1.09 0.2 0.125 0.65472828 8e+06 1.174669e+04
## 1266 0.746383363 1.09 1.09 0.2 0.125 1.04103225 8e+06 2.232630e+04
## 1267 0.075848911 1.09 1.09 0.2 0.125 0.96827954 8e+06 1.806213e+04
## 1268 0.581527124 1.09 1.09 0.2 0.125 1.63689496 8e+06 3.218005e+04
## 1269 0.340876591 1.09 1.09 0.2 0.125 0.97965022 8e+06 1.438604e+04
## 1270 0.569139030 1.09 1.09 0.2 0.125 3.04108083 8e+06 2.943090e+04
## 1271 0.108141185 1.09 1.09 0.2 0.125 0.86454416 8e+06 8.615268e+02
## 1272 0.048582055 1.09 1.09 0.2 0.125 10.08704530 8e+06 9.489481e+02
## 1273 0.205269753 1.09 1.09 0.2 0.125 0.33202742 8e+06 1.987236e+03
## 1274 0.491192657 1.09 1.09 0.2 0.125 12.47767419 8e+06 2.221754e+03
## 1275 0.074616130 1.09 1.09 0.2 0.125 0.28891919 8e+06 1.512943e+04
## 1276 0.188515474 1.09 1.09 0.2 0.125 12.82172553 8e+06 2.708347e+04
## 1277 0.375252103 1.09 1.09 0.2 0.125 0.29570722 8e+06 1.542488e+04
## 1278 0.189814860 1.09 1.09 0.2 0.125 6.80956380 8e+06 2.376186e+04
## 1279 0.296677191 1.09 1.09 0.2 0.125 0.63852235 8e+06 4.164319e+03
## 1280 0.108730609 1.09 1.09 0.2 0.125 3.81385986 8e+06 8.660412e+03
## 1281 0.336210834 1.09 1.09 0.2 0.125 0.91538005 8e+06 1.819439e+04
## 1282 0.671951694 1.09 1.09 0.2 0.125 1.98399050 8e+06 3.731629e+04
## 1283 0.309967335 1.09 1.09 0.2 0.125 0.74478133 8e+06 1.567399e+04
## 1284 0.201319429 1.09 1.09 0.2 0.125 6.97523280 8e+06 2.672612e+04
## 1285 0.302029613 1.09 1.09 0.2 0.125 0.48903765 8e+06 8.112219e+03
## 1286 0.053593723 1.09 1.09 0.2 0.125 4.01881743 8e+06 7.415227e+03
## 1287 0.061408415 1.09 1.09 0.2 0.125 0.97887806 8e+06 1.572996e+04
## 1288 0.132127032 1.09 1.09 0.2 0.125 4.40912427 8e+06 2.387568e+04
## 1289 0.261520868 1.09 1.09 0.2 0.125 0.28770459 8e+06 8.675870e+02
## 1290 0.110073943 1.09 1.09 0.2 0.125 4.21619532 8e+06 1.344024e+03
## 1291 0.349888713 1.09 1.09 0.2 0.125 0.34063143 8e+06 2.417657e+03
## 1292 0.051269198 1.09 1.09 0.2 0.125 23.39405024 8e+06 3.682859e+03
## 1293 0.166754345 1.09 1.09 0.2 0.125 0.58113499 8e+06 3.896466e+03
## 1294 0.677403920 1.09 1.09 0.2 0.125 1.95236741 8e+06 5.767206e+03
## 1295 0.068727620 1.09 1.09 0.2 0.125 0.23123969 8e+06 3.605590e+03
## 1296 0.112335614 1.09 1.09 0.2 0.125 21.40888048 8e+06 5.408081e+03
## 1297 0.190873341 1.09 1.09 0.2 0.125 0.81910934 8e+06 9.681988e+03
## 1298 0.183083123 1.09 1.09 0.2 0.125 5.21794200 8e+06 1.789647e+04
## 1299 0.208348875 1.09 1.09 0.2 0.125 0.26632329 8e+06 1.594140e+04
## 1300 0.137767753 1.09 1.09 0.2 0.125 13.11527783 8e+06 2.580161e+04
## 1301 0.147289330 1.09 1.09 0.2 0.125 0.86681819 8e+06 9.848620e+03
## 1302 0.129729105 1.09 1.09 0.2 0.125 10.41279372 8e+06 1.569765e+04
## 1303 0.126102976 1.09 1.09 0.2 0.125 0.33363927 8e+06 1.615829e+04
## 1304 0.608628730 1.09 1.09 0.2 0.125 2.30451992 8e+06 3.128997e+04
## 1305 0.368617263 1.09 1.09 0.2 0.125 0.77046172 8e+06 8.948654e+03
## 1306 0.127541037 1.09 1.09 0.2 0.125 10.60555642 8e+06 1.592118e+04
## 1307 0.258462484 1.09 1.09 0.2 0.125 0.79219390 8e+06 1.347147e+04
## 1308 0.127262095 1.09 1.09 0.2 0.125 9.14793834 8e+06 2.018460e+04
## 1309 0.387762361 1.09 1.09 0.2 0.125 0.94905310 8e+06 9.721381e+03
## 1310 0.155648358 1.09 1.09 0.2 0.125 18.07712860 8e+06 1.648970e+04
## 1311 0.284669254 1.09 1.09 0.2 0.125 0.72360403 8e+06 1.801352e+04
## 1312 0.182028414 1.09 1.09 0.2 0.125 3.91650494 8e+06 2.995383e+04
## 1313 0.238765333 1.09 1.09 0.2 0.125 0.33510020 8e+06 4.987486e+03
## 1314 0.047567369 1.09 1.09 0.2 0.125 13.03326579 8e+06 6.076185e+03
## 1315 0.300387620 1.09 1.09 0.2 0.125 0.25977100 8e+06 1.087647e+04
## 1316 0.560785875 1.09 1.09 0.2 0.125 1.38613272 8e+06 1.801666e+04
## 1317 0.269783123 1.09 1.09 0.2 0.125 0.67893520 8e+06 9.894448e+03
## 1318 0.132811782 1.09 1.09 0.2 0.125 6.40137820 8e+06 1.470783e+04
## 1319 0.363480623 1.09 1.09 0.2 0.125 0.28070259 8e+06 9.047380e+03
## 1320 0.101131879 1.09 1.09 0.2 0.125 2.73077488 8e+06 9.603256e+03
## 1321 0.123397628 1.09 1.09 0.2 0.125 0.21567887 8e+06 9.871004e+03
## 1322 0.130290187 1.09 1.09 0.2 0.125 7.71307230 8e+06 1.575485e+04
## 1323 0.289350932 1.09 1.09 0.2 0.125 0.40985041 8e+06 6.897404e+03
## 1324 0.516869461 1.09 1.09 0.2 0.125 2.74079261 8e+06 1.198950e+04
## 1325 0.214643101 1.09 1.09 0.2 0.125 0.86005716 8e+06 5.792977e+03
## 1326 0.116736140 1.09 1.09 0.2 0.125 5.83718307 8e+06 1.098548e+04
## 1327 0.290313422 1.09 1.09 0.2 0.125 0.88883353 8e+06 1.408692e+04
## 1328 0.362573948 1.09 1.09 0.2 0.125 5.62691180 8e+06 1.399738e+04
## 1329 0.099127260 1.09 1.09 0.2 0.125 0.93770790 8e+06 5.270861e+03
## 1330 0.135961524 1.09 1.09 0.2 0.125 5.24444367 8e+06 8.349066e+03
## 1331 0.272849330 1.09 1.09 0.2 0.125 0.32780369 8e+06 2.020333e+03
## 1332 0.124575129 1.09 1.09 0.2 0.125 8.72737120 8e+06 3.911376e+03
## 1333 0.105667817 1.09 1.09 0.2 0.125 0.29961052 8e+06 1.082027e+04
## 1334 0.118720760 1.09 1.09 0.2 0.125 6.86241968 8e+06 1.691782e+04
## 1335 0.127802162 1.09 1.09 0.2 0.125 0.54352438 8e+06 1.794796e+03
## 1336 0.842614850 1.09 1.09 0.2 0.125 0.86574492 8e+06 4.395452e+03
## 1337 0.375471646 1.09 1.09 0.2 0.125 0.82670099 8e+06 4.036204e+03
## 1338 0.112648556 1.09 1.09 0.2 0.125 6.83447495 8e+06 5.096140e+03
## 1339 0.291407206 1.09 1.09 0.2 0.125 0.40749789 8e+06 4.988141e+03
## 1340 0.147416123 1.09 1.09 0.2 0.125 2.40874291 8e+06 9.467805e+03
## 1341 0.114671671 1.09 1.09 0.2 0.125 0.59154274 8e+06 1.644984e+04
## 1342 0.183066759 1.09 1.09 0.2 0.125 6.99740658 8e+06 2.195050e+04
## 1343 0.097128219 1.09 1.09 0.2 0.125 0.52191176 8e+06 4.908473e+03
## 1344 0.575455363 1.09 1.09 0.2 0.125 1.26238638 8e+06 6.447424e+03
## 1345 0.116974386 1.09 1.09 0.2 0.125 0.69559656 8e+06 1.909002e+03
## 1346 0.082877301 1.09 1.09 0.2 0.125 6.65028271 8e+06 2.699713e+03
## 1347 0.260959878 1.09 1.09 0.2 0.125 0.94709944 8e+06 6.119402e+03
## 1348 0.103460768 1.09 1.09 0.2 0.125 2.50581546 8e+06 1.005914e+04
## 1349 0.216399591 1.09 1.09 0.2 0.125 0.48572948 8e+06 1.477828e+04
## 1350 0.123235114 1.09 1.09 0.2 0.125 10.33674687 8e+06 2.815825e+04
## 1351 0.334394620 1.09 1.09 0.2 0.125 0.95308189 8e+06 6.268202e+03
## 1352 0.159814012 1.09 1.09 0.2 0.125 7.65034334 8e+06 1.020945e+04
## 1353 0.247767421 1.09 1.09 0.2 0.125 0.35020647 8e+06 1.828536e+04
## 1354 0.181383986 1.09 1.09 0.2 0.125 9.42409211 8e+06 2.772594e+04
## 1355 0.299435916 1.09 1.09 0.2 0.125 0.82869453 8e+06 7.218020e+03
## 1356 0.157569208 1.09 1.09 0.2 0.125 14.99268783 8e+06 1.110475e+04
## 1357 0.295849038 1.09 1.09 0.2 0.125 0.36829349 8e+06 1.143959e+04
## 1358 0.169412542 1.09 1.09 0.2 0.125 6.50823431 8e+06 2.025079e+04
## 1359 0.342965577 1.09 1.09 0.2 0.125 0.35518491 8e+06 1.224085e+04
## 1360 0.138581668 1.09 1.09 0.2 0.125 8.38274417 8e+06 1.896823e+04
## 1361 0.061805685 1.09 1.09 0.2 0.125 0.66040763 8e+06 1.695558e+04
## 1362 0.176514068 1.09 1.09 0.2 0.125 3.40028684 8e+06 3.035193e+04
## 1363 0.280000574 1.09 1.09 0.2 0.125 0.70405979 8e+06 6.230202e+03
## 1364 0.610478532 1.09 1.09 0.2 0.125 3.24263629 8e+06 7.490064e+03
## 1365 0.111592366 1.09 1.09 0.2 0.125 0.35080244 8e+06 3.792926e+03
## 1366 0.058971355 1.09 1.09 0.2 0.125 4.55803583 8e+06 5.422849e+03
## 1367 0.052785997 1.09 1.09 0.2 0.125 0.72858602 8e+06 3.697435e+03
## 1368 0.135742500 1.09 1.09 0.2 0.125 7.06000465 8e+06 6.368006e+03
## 1369 0.353769233 1.09 1.09 0.2 0.125 0.59091413 8e+06 9.862293e+03
## 1370 0.205743145 1.09 1.09 0.2 0.125 6.94105464 8e+06 1.088856e+04
## 1371 0.267397082 1.09 1.09 0.2 0.125 0.90119592 8e+06 1.590934e+04
## 1372 0.164658768 1.09 1.09 0.2 0.125 3.57639646 8e+06 2.405061e+04
## 1373 0.184827399 1.09 1.09 0.2 0.125 0.95410730 8e+06 1.206826e+04
## 1374 0.141095217 1.09 1.09 0.2 0.125 11.53561887 8e+06 1.733481e+04
## 1375 0.374539988 1.09 1.09 0.2 0.125 0.66890174 8e+06 1.039411e+04
## 1376 0.156291120 1.09 1.09 0.2 0.125 8.52791569 8e+06 1.426214e+04
## 1377 0.391852850 1.09 1.09 0.2 0.125 0.50976210 8e+06 1.946937e+04
## 1378 0.177684797 1.09 1.09 0.2 0.125 7.03057676 8e+06 2.572152e+04
## 1379 0.070083344 1.09 1.09 0.2 0.125 0.71665531 8e+06 8.878451e+03
## 1380 0.133191163 1.09 1.09 0.2 0.125 7.99124770 8e+06 9.646706e+03
## 1381 0.294819055 1.09 1.09 0.2 0.125 0.40881793 8e+06 4.998503e+03
## 1382 0.116388247 1.09 1.09 0.2 0.125 29.08030292 8e+06 9.811133e+03
## 1383 0.069896937 1.09 1.09 0.2 0.125 0.28518397 8e+06 1.214122e+04
## 1384 0.108094735 1.09 1.09 0.2 0.125 7.42251827 8e+06 1.543685e+04
## 1385 0.206883493 1.09 1.09 0.2 0.125 0.90395333 8e+06 2.349137e+03
## 1386 0.078074848 1.09 1.09 0.2 0.125 5.66983877 8e+06 2.834332e+03
## 1387 0.262119662 1.09 1.09 0.2 0.125 0.61606678 8e+06 1.975986e+04
## 1388 0.544755950 1.09 1.09 0.2 0.125 1.76888080 8e+06 2.795037e+04
## 1389 0.386093493 1.09 1.09 0.2 0.125 0.66251525 8e+06 2.972249e+03
## 1390 0.132415461 1.09 1.09 0.2 0.125 4.72486382 8e+06 5.618727e+03
## 1391 0.191840082 1.09 1.09 0.2 0.125 0.72799831 8e+06 8.707124e+01
## 1392 0.045617312 1.09 1.09 0.2 0.125 5.01750383 8e+06 8.078551e+01
## 1393 0.144954622 1.09 1.09 0.2 0.125 0.97742917 8e+06 8.392826e+03
## 1394 0.153002930 1.09 1.09 0.2 0.125 5.54039337 8e+06 1.381059e+04
## 1395 0.340887767 1.09 1.09 0.2 0.125 0.56057408 8e+06 1.489143e+04
## 1396 0.568140261 1.09 1.09 0.2 0.125 2.96517476 8e+06 2.896303e+04
## 1397 0.090053721 1.09 1.09 0.2 0.125 0.41410534 8e+06 1.260332e+04
## 1398 0.171567759 1.09 1.09 0.2 0.125 6.91289615 8e+06 1.432314e+04
## 1399 0.312737558 1.09 1.09 0.2 0.125 0.48655932 8e+06 5.135738e+03
## 1400 0.660550326 1.09 1.09 0.2 0.125 1.89594934 8e+06 9.454777e+03
## 1401 0.350401950 1.09 1.09 0.2 0.125 0.61264720 8e+06 7.178548e+03
## 1402 0.083804516 1.09 1.09 0.2 0.125 5.25964899 8e+06 1.098538e+04
## 1403 0.073857932 1.09 1.09 0.2 0.125 0.58769036 8e+06 1.600201e+04
## 1404 0.197143693 1.09 1.09 0.2 0.125 1.04549066 8e+06 1.670082e+04
## 1405 0.131546494 1.09 1.09 0.2 0.125 0.39983077 8e+06 2.222684e+03
## 1406 0.293146224 1.09 1.09 0.2 0.125 0.16747537 8e+06 2.382191e+03
## 1407 0.084363348 1.09 1.09 0.2 0.125 0.64678210 8e+06 1.102933e+04
## 1408 0.173265416 1.09 1.09 0.2 0.125 25.93095938 8e+06 1.287775e+04
## 1409 0.395327089 1.09 1.09 0.2 0.125 0.81974227 8e+06 1.367682e+04
## 1410 0.192040925 1.09 1.09 0.2 0.125 3.54989048 8e+06 1.704471e+04
## 1411 0.154005280 1.09 1.09 0.2 0.125 0.39746067 8e+06 4.877959e+03
## 1412 0.545679404 1.09 1.09 0.2 0.125 2.04985336 8e+06 7.366537e+03
## 1413 0.250813847 1.09 1.09 0.2 0.125 0.73257497 8e+06 1.675495e+04
## 1414 0.079744818 1.09 1.09 0.2 0.125 0.61273475 8e+06 1.916845e+04
## 1415 0.397575972 1.09 1.09 0.2 0.125 0.36353074 8e+06 1.518922e+04
## 1416 0.128313055 1.09 1.09 0.2 0.125 2.05714190 8e+06 1.561821e+04
## 1417 0.211144831 1.09 1.09 0.2 0.125 0.75655920 8e+06 8.276848e+03
## 1418 0.541355434 1.09 1.09 0.2 0.125 1.26657165 8e+06 7.390409e+03
## 1419 0.294444392 1.09 1.09 0.2 0.125 0.35727068 8e+06 8.611158e+03
## 1420 0.132067702 1.09 1.09 0.2 0.125 5.14340584 8e+06 1.412115e+04
## 1421 0.225962239 1.09 1.09 0.2 0.125 0.71349136 8e+06 1.439942e+04
## 1422 0.108081345 1.09 1.09 0.2 0.125 10.27487730 8e+06 2.150744e+04
## 1423 0.180051073 1.09 1.09 0.2 0.125 0.50760557 8e+06 1.803741e+04
## 1424 0.663315618 1.09 1.09 0.2 0.125 5.44761258 8e+06 2.535629e+04
## 1425 0.130746911 1.09 1.09 0.2 0.125 0.54485829 8e+06 4.615238e+03
## 1426 0.546045495 1.09 1.09 0.2 0.125 19.61177334 8e+06 5.677164e+03
## 1427 0.173435408 1.09 1.09 0.2 0.125 0.74227132 8e+06 1.741021e+04
## 1428 0.190830344 1.09 1.09 0.2 0.125 4.02983198 8e+06 2.592725e+04
## 1429 0.227121251 1.09 1.09 0.2 0.125 0.93946821 8e+06 1.038530e+04
## 1430 0.120350892 1.09 1.09 0.2 0.125 18.13581954 8e+06 1.466729e+04
## 1431 0.330410687 1.09 1.09 0.2 0.125 0.84762873 8e+06 1.212221e+04
## 1432 0.572725729 1.09 1.09 0.2 0.125 1.16385741 8e+06 2.165607e+04
## 1433 0.178307227 1.09 1.09 0.2 0.125 0.80254432 8e+06 1.665054e+04
## 1434 0.162623448 1.09 1.09 0.2 0.125 17.87331165 8e+06 2.688294e+04
## 1435 0.129578895 1.09 1.09 0.2 0.125 0.36490543 8e+06 1.199296e+04
## 1436 0.526424379 1.09 1.09 0.2 0.125 1.62243432 8e+06 1.558198e+04
## 1437 0.323921387 1.09 1.09 0.2 0.125 0.38990116 8e+06 5.829907e+03
## 1438 0.205292787 1.09 1.09 0.2 0.125 31.04177919 8e+06 9.639181e+03
## 1439 0.189620585 1.09 1.09 0.2 0.125 0.33823136 8e+06 1.073696e+04
## 1440 0.200046275 1.09 1.09 0.2 0.125 45.03799974 8e+06 9.838027e+03
## 1441 0.097224111 1.09 1.09 0.2 0.125 0.51999055 8e+06 4.054476e+03
## 1442 0.126908656 1.09 1.09 0.2 0.125 2.77534025 8e+06 6.229181e+03
## 1443 0.107034267 1.09 1.09 0.2 0.125 0.21370712 8e+06 5.144861e+03
## 1444 0.109520670 1.09 1.09 0.2 0.125 3.94868477 8e+06 8.710489e+03
## 1445 0.145754517 1.09 1.09 0.2 0.125 0.71879545 8e+06 1.947936e+04
## 1446 0.560728782 1.09 1.09 0.2 0.125 1.62077164 8e+06 2.730407e+04
## 1447 0.351842281 1.09 1.09 0.2 0.125 0.51345792 8e+06 1.482212e+04
## 1448 0.585602503 1.09 1.09 0.2 0.125 1.19902562 8e+06 2.408937e+04
## 1449 0.273605707 1.09 1.09 0.2 0.125 0.39996383 8e+06 1.917267e+04
## 1450 0.148846123 1.09 1.09 0.2 0.125 3.40390954 8e+06 2.901379e+04
## 1451 0.074250746 1.09 1.09 0.2 0.125 0.95368207 8e+06 8.990316e+03
## 1452 0.156949437 1.09 1.09 0.2 0.125 7.21759479 8e+06 1.265519e+04
## 1453 0.264256906 1.09 1.09 0.2 0.125 0.85996207 8e+06 1.352967e+04
## 1454 0.133064003 1.09 1.09 0.2 0.125 4.64921537 8e+06 2.756880e+04
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## 1482 0.045589806 1.09 1.09 0.2 0.125 4.00377867 8e+06 3.848827e+03
## 1483 0.190670657 1.09 1.09 0.2 0.125 0.74060822 8e+06 1.270286e+04
## 1484 0.190253839 1.09 1.09 0.2 0.125 10.02915613 8e+06 1.204260e+04
## 1485 0.097301525 1.09 1.09 0.2 0.125 0.21402505 8e+06 8.616404e+03
## 1486 0.031161790 1.09 1.09 0.2 0.125 0.56810683 8e+06 1.281718e+04
## 1487 0.304733377 1.09 1.09 0.2 0.125 0.86274445 8e+06 1.295145e+04
## 1488 0.616149851 1.09 1.09 0.2 0.125 2.57481375 8e+06 2.712809e+04
## 1489 0.292290592 1.09 1.09 0.2 0.125 0.34917726 8e+06 1.091817e+04
## 1490 0.121476407 1.09 1.09 0.2 0.125 6.83196345 8e+06 2.409364e+04
## 1491 0.286846803 1.09 1.09 0.2 0.125 0.77705424 8e+06 9.224732e+03
## 1492 0.675816339 1.09 1.09 0.2 0.125 9.44780810 8e+06 1.361220e+04
## 1493 0.135117962 1.09 1.09 0.2 0.125 0.49804554 8e+06 9.426194e+03
## 1494 0.130100041 1.09 1.09 0.2 0.125 8.33550596 8e+06 2.032941e+04
## 1495 0.202468826 1.09 1.09 0.2 0.125 0.87395501 8e+06 1.277064e+04
## 1496 0.130006624 1.09 1.09 0.2 0.125 3.17442072 8e+06 1.447942e+04
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## 1498 0.552530318 1.09 1.09 0.2 0.125 1.24516955 8e+06 2.018767e+04
## 1499 0.098031255 1.09 1.09 0.2 0.125 0.40181426 8e+06 1.481165e+04
## 1500 0.779010731 1.09 1.09 0.2 0.125 4.12345935 8e+06 1.874375e+04
## 1501 0.210363228 1.09 1.09 0.2 0.125 0.69242729 8e+06 1.238896e+04
## 1502 0.127853645 1.09 1.09 0.2 0.125 3.76264665 8e+06 1.993220e+04
## 1503 0.065213747 1.09 1.09 0.2 0.125 0.94508128 8e+06 1.184489e+04
## 1504 0.128811704 1.09 1.09 0.2 0.125 6.33277651 8e+06 2.051826e+04
## 1505 0.310747466 1.09 1.09 0.2 0.125 0.51502303 8e+06 5.844154e+03
## 1506 0.132324516 1.09 1.09 0.2 0.125 5.00206783 8e+06 9.310411e+03
## 1507 0.398401630 1.09 1.09 0.2 0.125 0.61214239 8e+06 5.593134e+03
## 1508 0.142175294 1.09 1.09 0.2 0.125 17.52417374 8e+06 1.100125e+04
## 1509 0.289980443 1.09 1.09 0.2 0.125 0.27639194 8e+06 7.673859e+03
## 1510 0.040867144 1.09 1.09 0.2 0.125 2.68542568 8e+06 1.096513e+04
## 1511 0.203766280 1.09 1.09 0.2 0.125 0.33325855 8e+06 5.943710e+03
## 1512 0.051270026 1.09 1.09 0.2 0.125 6.04977273 8e+06 6.248243e+03
## 1513 0.149675135 1.09 1.09 0.2 0.125 0.21629371 8e+06 3.594236e+03
## 1514 0.595251333 1.09 1.09 0.2 0.125 5.00067604 8e+06 7.150692e+03
## 1515 0.338547952 1.09 1.09 0.2 0.125 0.69932640 8e+06 1.089949e+04
## 1516 0.311678436 1.09 1.09 0.2 0.125 4.81427557 8e+06 9.472525e+03
## 1517 0.155667206 1.09 1.09 0.2 0.125 0.42954251 8e+06 1.298335e+04
## 1518 0.133695140 1.09 1.09 0.2 0.125 8.83122726 8e+06 2.695173e+04
## 1519 0.278319377 1.09 1.09 0.2 0.125 0.42992444 8e+06 4.105759e+03
## 1520 0.057177243 1.09 1.09 0.2 0.125 12.59480420 8e+06 4.892574e+03
## 1521 0.137947664 1.09 1.09 0.2 0.125 0.75549352 8e+06 1.719701e+04
## 1522 0.142258367 1.09 1.09 0.2 0.125 4.07478149 8e+06 3.213138e+04
## 1523 0.207185564 1.09 1.09 0.2 0.125 0.20966031 8e+06 9.345619e+03
## 1524 0.133226869 1.09 1.09 0.2 0.125 4.39012856 8e+06 1.493562e+04
## 1525 0.215838963 1.09 1.09 0.2 0.125 0.36004862 8e+06 1.294167e+04
## 1526 0.562719281 1.09 1.09 0.2 0.125 1.57311512 8e+06 2.243208e+04
## 1527 0.387375251 1.09 1.09 0.2 0.125 0.98066483 8e+06 1.410942e+04
## 1528 0.657939264 1.09 1.09 0.2 0.125 12.18821857 8e+06 2.918854e+04
## 1529 0.376196781 1.09 1.09 0.2 0.125 0.63712712 8e+06 1.330029e+04
## 1530 0.142277215 1.09 1.09 0.2 0.125 3.55174575 8e+06 2.688367e+04
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## 1532 0.103696501 1.09 1.09 0.2 0.125 2.39224297 8e+06 2.525091e+03
## 1533 0.254161534 1.09 1.09 0.2 0.125 0.79951689 8e+06 1.735983e+03
## 1534 0.102531267 1.09 1.09 0.2 0.125 4.24442473 8e+06 2.339282e+03
## 1535 0.285876200 1.09 1.09 0.2 0.125 0.67880296 8e+06 9.718897e+03
## 1536 0.595730477 1.09 1.09 0.2 0.125 1.83550341 8e+06 1.981776e+04
## 1537 0.101830893 1.09 1.09 0.2 0.125 0.44823917 8e+06 1.247492e+03
## 1538 0.066120337 1.09 1.09 0.2 0.125 3.60850207 8e+06 1.576850e+03
## 1539 0.244796534 1.09 1.09 0.2 0.125 0.52584488 8e+06 4.213674e+03
## 1540 0.103219941 1.09 1.09 0.2 0.125 12.52142474 8e+06 6.762376e+03
## 1541 0.290711893 1.09 1.09 0.2 0.125 0.66732330 8e+06 1.198798e+04
## 1542 0.191238459 1.09 1.09 0.2 0.125 10.37807272 8e+06 1.748617e+04
## 1543 0.312939638 1.09 1.09 0.2 0.125 0.53454026 8e+06 1.468505e+04
## 1544 0.165426726 1.09 1.09 0.2 0.125 6.37691041 8e+06 2.016821e+04
## 1545 0.358356706 1.09 1.09 0.2 0.125 0.94323039 8e+06 8.179314e+03
## 1546 0.213470926 1.09 1.09 0.2 0.125 10.19267934 8e+06 9.766925e+03
## 1547 0.325438861 1.09 1.09 0.2 0.125 0.83796347 8e+06 1.448849e+04
## 1548 0.132976507 1.09 1.09 0.2 0.125 7.30080149 8e+06 2.416211e+04
## 1549 0.170511178 1.09 1.09 0.2 0.125 0.68180995 8e+06 1.069629e+04
## 1550 0.096136351 1.09 1.09 0.2 0.125 3.81485543 8e+06 1.578716e+04
## 1551 0.124990918 1.09 1.09 0.2 0.125 0.36902557 8e+06 1.034975e+04
## 1552 0.082753926 1.09 1.09 0.2 0.125 1.96066482 8e+06 9.030241e+03
## 1553 0.056746295 1.09 1.09 0.2 0.125 0.22908465 8e+06 1.008773e+04
## 1554 0.581127494 1.09 1.09 0.2 0.125 2.13376998 8e+06 1.653290e+04
## 1555 0.224697841 1.09 1.09 0.2 0.125 0.47106703 8e+06 1.081047e+04
## 1556 0.106934539 1.09 1.09 0.2 0.125 5.28658921 8e+06 1.326062e+04
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## 1559 0.220008399 1.09 1.09 0.2 0.125 0.66821910 8e+06 1.882828e+04
## 1560 0.207033758 1.09 1.09 0.2 0.125 21.12940964 8e+06 2.329783e+04
## 1561 0.227225335 1.09 1.09 0.2 0.125 0.40713521 8e+06 1.204552e+04
## 1562 0.109727063 1.09 1.09 0.2 0.125 3.19821524 8e+06 2.603087e+04
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## 1564 0.138226798 1.09 1.09 0.2 0.125 6.34527403 8e+06 2.926206e+04
## 1565 0.256984561 1.09 1.09 0.2 0.125 0.63976670 8e+06 3.663685e+03
## 1566 0.617535565 1.09 1.09 0.2 0.125 2.66845157 8e+06 7.345386e+03
## 1567 0.383302623 1.09 1.09 0.2 0.125 0.73096261 8e+06 1.083421e+04
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## 1570 0.049406054 1.09 1.09 0.2 0.125 4.42995772 8e+06 8.455057e+02
## 1571 0.106558018 1.09 1.09 0.2 0.125 0.33932057 8e+06 3.121060e+03
## 1572 0.115670266 1.09 1.09 0.2 0.125 5.40533303 8e+06 5.436904e+03
## 1573 0.200301100 1.09 1.09 0.2 0.125 0.81735768 8e+06 2.940610e+03
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## 1575 0.313640313 1.09 1.09 0.2 0.125 0.68472731 8e+06 1.448066e+04
## 1576 0.142767610 1.09 1.09 0.2 0.125 6.68731547 8e+06 3.045429e+04
## 1577 0.074185277 1.09 1.09 0.2 0.125 0.72556661 8e+06 1.364321e+04
## 1578 0.153677600 1.09 1.09 0.2 0.125 3.70319270 8e+06 2.497158e+04
## 1579 0.129756755 1.09 1.09 0.2 0.125 0.64919277 8e+06 3.767654e+03
## 1580 0.135620225 1.09 1.09 0.2 0.125 8.59597093 8e+06 7.388622e+03
## 1581 0.372200190 1.09 1.09 0.2 0.125 0.65107209 8e+06 1.319475e+04
## 1582 0.134626082 1.09 1.09 0.2 0.125 6.90595251 8e+06 1.800056e+04
## 1583 0.260486531 1.09 1.09 0.2 0.125 0.70938161 8e+06 4.953774e+03
## 1584 0.177774577 1.09 1.09 0.2 0.125 10.34537707 8e+06 9.733364e+03
## 1585 0.111436106 1.09 1.09 0.2 0.125 0.56689417 8e+06 1.691094e+04
## 1586 0.048827491 1.09 1.09 0.2 0.125 0.08773066 8e+06 1.504953e+04
## 1587 0.326220953 1.09 1.09 0.2 0.125 0.96984578 8e+06 8.002547e+03
## 1588 0.230755237 1.09 1.09 0.2 0.125 4.62832100 8e+06 1.002980e+04
## 1589 0.348892468 1.09 1.09 0.2 0.125 0.71029229 8e+06 4.751798e+01
## 1590 0.485488667 1.09 1.09 0.2 0.125 14.26318727 8e+06 6.536849e+01
## 1591 0.063181003 1.09 1.09 0.2 0.125 0.51880720 8e+06 4.902244e+03
## 1592 0.103209124 1.09 1.09 0.2 0.125 4.06095794 8e+06 7.573568e+03
## 1593 0.342099625 1.09 1.09 0.2 0.125 0.76375001 8e+06 1.446789e+04
## 1594 0.154399530 1.09 1.09 0.2 0.125 4.11679978 8e+06 2.015616e+04
## 1595 0.264481271 1.09 1.09 0.2 0.125 0.59164211 8e+06 1.522097e+04
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## 1599 0.150918882 1.09 1.09 0.2 0.125 0.26428050 8e+06 7.072956e+03
## 1600 0.558367004 1.09 1.09 0.2 0.125 1.35359425 8e+06 1.027494e+04
## 1601 0.383274842 1.09 1.09 0.2 0.125 0.25511664 8e+06 1.381420e+04
## 1602 0.230244587 1.09 1.09 0.2 0.125 35.01871732 8e+06 1.169859e+04
## 1603 0.238230431 1.09 1.09 0.2 0.125 0.27023956 8e+06 5.525964e+03
## 1604 0.046473407 1.09 1.09 0.2 0.125 3.78766374 8e+06 5.795592e+03
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## 1606 0.066003352 1.09 1.09 0.2 0.125 3.78690701 8e+06 1.112760e+04
## 1607 0.083726610 1.09 1.09 0.2 0.125 0.65209913 8e+06 3.628861e+03
## 1608 0.046443426 1.09 1.09 0.2 0.125 1.55402970 8e+06 3.512778e+03
## 1609 0.066838008 1.09 1.09 0.2 0.125 0.91620078 8e+06 1.447526e+04
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## 1611 0.389947890 1.09 1.09 0.2 0.125 0.25093707 8e+06 1.825650e+04
## 1612 0.151147677 1.09 1.09 0.2 0.125 6.57528823 8e+06 3.043282e+04
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## 1617 0.359966207 1.09 1.09 0.2 0.125 0.43613142 8e+06 9.257321e+03
## 1618 0.121385641 1.09 1.09 0.2 0.125 5.90094362 8e+06 1.534004e+04
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## 1623 0.184718744 1.09 1.09 0.2 0.125 0.75950683 8e+06 1.292692e+04
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## 1630 0.111573732 1.09 1.09 0.2 0.125 2.99978077 8e+06 7.738167e+03
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## 1634 0.192581893 1.09 1.09 0.2 0.125 12.65839005 8e+06 1.374632e+04
## 1635 0.157603191 1.09 1.09 0.2 0.125 0.60493751 8e+06 5.462896e+03
## 1636 0.048188605 1.09 1.09 0.2 0.125 3.44337619 8e+06 7.606289e+03
## 1637 0.229436454 1.09 1.09 0.2 0.125 0.25643430 8e+06 7.275949e+03
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## 1639 0.200395490 1.09 1.09 0.2 0.125 0.68457704 8e+06 7.497688e+03
## 1640 0.128368562 1.09 1.09 0.2 0.125 5.17355942 8e+06 1.476571e+04
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## 1643 0.198100632 1.09 1.09 0.2 0.125 0.63902156 8e+06 1.939913e+04
## 1644 0.191349384 1.09 1.09 0.2 0.125 6.15410716 8e+06 3.006747e+04
## 1645 0.196500836 1.09 1.09 0.2 0.125 0.49843353 8e+06 2.321851e+03
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## 1647 0.144428400 1.09 1.09 0.2 0.125 0.69486713 8e+06 8.081500e+03
## 1648 0.123997450 1.09 1.09 0.2 0.125 20.79396045 8e+06 1.778068e+04
## 1649 0.214313938 1.09 1.09 0.2 0.125 0.33107201 8e+06 1.271275e+04
## 1650 0.559330580 1.09 1.09 0.2 0.125 1.09030881 8e+06 1.914046e+04
## 1651 0.091575392 1.09 1.09 0.2 0.125 0.20601778 8e+06 1.740024e+04
## 1652 0.207261403 1.09 1.09 0.2 0.125 6.85915662 8e+06 1.542939e+04
## 1653 0.251590840 1.09 1.09 0.2 0.125 0.99317217 8e+06 1.396676e+04
## 1654 0.569733129 1.09 1.09 0.2 0.125 0.92081492 8e+06 2.299088e+04
## 1655 0.386380932 1.09 1.09 0.2 0.125 0.62222779 8e+06 1.081242e+04
## 1656 0.120238262 1.09 1.09 0.2 0.125 6.15544396 8e+06 2.177106e+04
## 1657 0.176599175 1.09 1.09 0.2 0.125 0.65582487 8e+06 1.246799e+04
## 1658 0.163227495 1.09 1.09 0.2 0.125 3.90257358 8e+06 2.676178e+04
## 1659 0.133728175 1.09 1.09 0.2 0.125 0.66356563 8e+06 7.507900e+03
## 1660 0.523290027 1.09 1.09 0.2 0.125 1.17117225 8e+06 9.958120e+03
## 1661 0.210255948 1.09 1.09 0.2 0.125 0.29536718 8e+06 9.781226e+03
## 1662 0.135519457 1.09 1.09 0.2 0.125 9.21485701 8e+06 2.007211e+04
## 1663 0.063436472 1.09 1.09 0.2 0.125 0.77655224 8e+06 1.931905e+04
## 1664 0.194601294 1.09 1.09 0.2 0.125 4.04667831 8e+06 3.798306e+04
## 1665 0.107504509 1.09 1.09 0.2 0.125 0.59553995 8e+06 7.939816e+03
## 1666 0.530266890 1.09 1.09 0.2 0.125 10.75219051 8e+06 9.011923e+03
## 1667 0.218412319 1.09 1.09 0.2 0.125 0.59761676 8e+06 9.116932e+03
## 1668 0.138680074 1.09 1.09 0.2 0.125 3.34810354 8e+06 2.175275e+04
## 1669 0.230491386 1.09 1.09 0.2 0.125 0.26057101 8e+06 1.745283e+04
## 1670 0.169461682 1.09 1.09 0.2 0.125 3.37062508 8e+06 2.902127e+04
## 1671 0.265179366 1.09 1.09 0.2 0.125 0.83640630 8e+06 1.837047e+04
## 1672 0.592165178 1.09 1.09 0.2 0.125 14.92721399 8e+06 3.108331e+04
## 1673 0.210892310 1.09 1.09 0.2 0.125 0.23418427 8e+06 1.561474e+03
## 1674 0.765106326 1.09 1.09 0.2 0.125 1.21967864 8e+06 3.203282e+03
## 1675 0.215827771 1.09 1.09 0.2 0.125 0.24873025 8e+06 7.586651e+03
## 1676 0.139512876 1.09 1.09 0.2 0.125 19.16505239 8e+06 1.196714e+04
## 1677 0.267996756 1.09 1.09 0.2 0.125 0.91674373 8e+06 2.672353e+03
## 1678 0.112189430 1.09 1.09 0.2 0.125 9.69255052 8e+06 3.260802e+03
## 1679 0.132868262 1.09 1.09 0.2 0.125 0.71099527 8e+06 6.413628e+03
## 1680 0.173744886 1.09 1.09 0.2 0.125 7.28249903 8e+06 9.739884e+03
## 1681 0.387026073 1.09 1.09 0.2 0.125 0.52822536 8e+06 2.980866e+03
## 1682 0.146827818 1.09 1.09 0.2 0.125 4.90882992 8e+06 5.548428e+03
## 1683 0.079138849 1.09 1.09 0.2 0.125 0.33938052 8e+06 7.721537e+03
## 1684 0.130082919 1.09 1.09 0.2 0.125 5.39005950 8e+06 1.222717e+04
## 1685 0.343405061 1.09 1.09 0.2 0.125 0.86488703 8e+06 1.331469e+04
## 1686 0.131084681 1.09 1.09 0.2 0.125 2.81725783 8e+06 2.789698e+04
## 1687 0.277432610 1.09 1.09 0.2 0.125 0.82009435 8e+06 1.340012e+04
## 1688 0.506482510 1.09 1.09 0.2 0.125 2.04461717 8e+06 1.661812e+04
## 1689 0.383086118 1.09 1.09 0.2 0.125 0.46766302 8e+06 1.747417e+04
## 1690 0.133356750 1.09 1.09 0.2 0.125 4.91660244 8e+06 3.392562e+04
## 1691 0.058848800 1.09 1.09 0.2 0.125 0.63385437 8e+06 8.314017e+03
## 1692 0.156405109 1.09 1.09 0.2 0.125 4.65920885 8e+06 1.468750e+04
## 1693 0.324561273 1.09 1.09 0.2 0.125 0.41307401 8e+06 1.102644e+04
## 1694 0.163818947 1.09 1.09 0.2 0.125 15.91081855 8e+06 1.758200e+04
## 1695 0.324059242 1.09 1.09 0.2 0.125 0.70232685 8e+06 1.798060e+04
## 1696 0.145092078 1.09 1.09 0.2 0.125 3.62425394 8e+06 2.989971e+04
## 1697 0.290679272 1.09 1.09 0.2 0.125 0.40888601 8e+06 8.335227e+03
## 1698 0.180697598 1.09 1.09 0.2 0.125 8.90217346 8e+06 1.121171e+04
## 1699 0.085446276 1.09 1.09 0.2 0.125 0.60963760 8e+06 5.456768e+03
## 1700 0.138008997 1.09 1.09 0.2 0.125 5.40544592 8e+06 1.009578e+04
## 1701 0.078891481 1.09 1.09 0.2 0.125 0.79808295 8e+06 8.416634e+03
## 1702 0.724302922 1.09 1.09 0.2 0.125 1.83778272 8e+06 1.600322e+04
## 1703 0.209795323 1.09 1.09 0.2 0.125 0.69813899 8e+06 1.043102e+04
## 1704 0.127466371 1.09 1.09 0.2 0.125 7.04173825 8e+06 1.697393e+04
## 1705 0.362629406 1.09 1.09 0.2 0.125 0.93359651 8e+06 1.609603e+04
## 1706 0.138360470 1.09 1.09 0.2 0.125 4.70929984 8e+06 2.903891e+04
## 1707 0.276758285 1.09 1.09 0.2 0.125 0.35015742 8e+06 6.318947e+03
## 1708 0.113729064 1.09 1.09 0.2 0.125 2.57458948 8e+06 7.990784e+03
## 1709 0.367930653 1.09 1.09 0.2 0.125 0.55061136 8e+06 1.191793e+04
## 1710 0.103852264 1.09 1.09 0.2 0.125 18.04485767 8e+06 1.777418e+04
## 1711 0.074790206 1.09 1.09 0.2 0.125 0.95471483 8e+06 1.730382e+04
## 1712 0.187541744 1.09 1.09 0.2 0.125 17.61565046 8e+06 2.547879e+04
## 1713 0.333757125 1.09 1.09 0.2 0.125 0.77076700 8e+06 7.733451e+03
## 1714 0.158626138 1.09 1.09 0.2 0.125 2.32398296 8e+06 1.135611e+04
## 1715 0.178283070 1.09 1.09 0.2 0.125 0.63292716 8e+06 1.615290e+04
## 1716 0.162886153 1.09 1.09 0.2 0.125 7.44509860 8e+06 3.210302e+04
## 1717 0.345560084 1.09 1.09 0.2 0.125 0.25286556 8e+06 2.892529e+03
## 1718 0.115177903 1.09 1.09 0.2 0.125 3.68920610 8e+06 3.381353e+03
## 1719 0.089515492 1.09 1.09 0.2 0.125 0.40792504 8e+06 9.885793e+03
## 1720 0.308833824 1.09 1.09 0.2 0.125 0.63687865 8e+06 1.128272e+04
## 1721 0.326866474 1.09 1.09 0.2 0.125 0.44279963 8e+06 4.042671e+03
## 1722 0.046561271 1.09 1.09 0.2 0.125 6.98949005 8e+06 3.635287e+03
## 1723 0.148461766 1.09 1.09 0.2 0.125 0.29254462 8e+06 1.142647e+04
## 1724 0.547885494 1.09 1.09 0.2 0.125 2.44794142 8e+06 1.970348e+04
## 1725 0.231807423 1.09 1.09 0.2 0.125 0.65396216 8e+06 1.710208e+04
## 1726 0.567156322 1.09 1.09 0.2 0.125 9.78063801 8e+06 3.694570e+04
## 1727 0.371220307 1.09 1.09 0.2 0.125 0.68038250 8e+06 4.889514e+03
## 1728 0.106927677 1.09 1.09 0.2 0.125 3.85944371 8e+06 6.539181e+03
## 1729 0.240779177 1.09 1.09 0.2 0.125 0.70759692 8e+06 1.530076e+03
## 1730 0.487023185 1.09 1.09 0.2 0.125 0.96856052 8e+06 2.246276e+03
## 1731 0.247189817 1.09 1.09 0.2 0.125 0.80409560 8e+06 6.270928e+03
## 1732 0.137037578 1.09 1.09 0.2 0.125 5.46336918 8e+06 1.538968e+04
## 1733 0.264284585 1.09 1.09 0.2 0.125 0.27287367 8e+06 5.103056e+03
## 1734 0.119430277 1.09 1.09 0.2 0.125 2.78018129 8e+06 8.696678e+03
## 1735 0.052824331 1.09 1.09 0.2 0.125 0.93821246 8e+06 1.155420e+04
## 1736 0.529069651 1.09 1.09 0.2 0.125 16.61255056 8e+06 1.484398e+04
## 1737 0.073074877 1.09 1.09 0.2 0.125 0.64780890 8e+06 6.171663e+03
## 1738 0.057794158 1.09 1.09 0.2 0.125 6.23535619 8e+06 8.433658e+03
## 1739 0.221777975 1.09 1.09 0.2 0.125 0.55333362 8e+06 1.429827e+04
## 1740 0.136102038 1.09 1.09 0.2 0.125 6.71032463 8e+06 2.991152e+04
## 1741 0.122171854 1.09 1.09 0.2 0.125 0.48454306 8e+06 1.564597e+03
## 1742 0.104265119 1.09 1.09 0.2 0.125 10.31530044 8e+06 2.548420e+03
## 1743 0.060019741 1.09 1.09 0.2 0.125 0.97466273 8e+06 4.859675e+03
## 1744 0.161780408 1.09 1.09 0.2 0.125 5.06574992 8e+06 8.294266e+03
## 1745 0.243276173 1.09 1.09 0.2 0.125 0.69618426 8e+06 8.184152e+03
## 1746 0.176633713 1.09 1.09 0.2 0.125 5.78951101 8e+06 1.174557e+04
## 1747 0.310785343 1.09 1.09 0.2 0.125 0.56816311 8e+06 8.640478e+03
## 1748 0.932854213 1.09 1.09 0.2 0.125 1.89024452 8e+06 1.043617e+04
## 1749 0.211541139 1.09 1.09 0.2 0.125 0.62193968 8e+06 4.763112e+03
## 1750 0.065014834 1.09 1.09 0.2 0.125 15.46920987 8e+06 5.018593e+03
## 1751 0.186253914 1.09 1.09 0.2 0.125 0.36376319 8e+06 1.362770e+04
## 1752 0.147563470 1.09 1.09 0.2 0.125 6.34872569 8e+06 2.572614e+04
## 1753 0.134170373 1.09 1.09 0.2 0.125 0.58265303 8e+06 1.227652e+04
## 1754 0.199063776 1.09 1.09 0.2 0.125 7.02150295 8e+06 9.790733e+03
## 1755 0.160283555 1.09 1.09 0.2 0.125 0.47630377 8e+06 2.256750e+03
## 1756 0.538093641 1.09 1.09 0.2 0.125 1.31338763 8e+06 2.787388e+03
## 1757 0.132331010 1.09 1.09 0.2 0.125 0.25765383 8e+06 2.789390e+03
## 1758 0.098388677 1.09 1.09 0.2 0.125 3.45104187 8e+06 4.042090e+03
## 1759 0.236681075 1.09 1.09 0.2 0.125 0.91726387 8e+06 1.999155e+03
## 1760 0.048577609 1.09 1.09 0.2 0.125 19.31038700 8e+06 2.273715e+03
## 1761 0.223912578 1.09 1.09 0.2 0.125 0.20566448 8e+06 5.208236e+02
## 1762 0.479751114 1.09 1.09 0.2 0.125 9.25740635 8e+06 6.452658e+02
## 1763 0.338172542 1.09 1.09 0.2 0.125 0.29725958 8e+06 4.621182e+02
## 1764 0.045057815 1.09 1.09 0.2 0.125 3.47560456 8e+06 4.417125e+02
## 1765 0.121567476 1.09 1.09 0.2 0.125 0.63013018 8e+06 1.941904e+04
## 1766 0.129930155 1.09 1.09 0.2 0.125 12.28389097 8e+06 2.574180e+04
## 1767 0.162387028 1.09 1.09 0.2 0.125 0.54151084 8e+06 8.254291e+02
## 1768 0.509020249 1.09 1.09 0.2 0.125 2.15199339 8e+06 8.104848e+02
## 1769 0.210501659 1.09 1.09 0.2 0.125 0.88971109 8e+06 2.275633e+03
## 1770 0.550238563 1.09 1.09 0.2 0.125 1.75332258 8e+06 3.291340e+03
## 1771 0.398074307 1.09 1.09 0.2 0.125 0.25012593 8e+06 1.138148e+04
## 1772 0.139170263 1.09 1.09 0.2 0.125 4.86929747 8e+06 1.849634e+04
## 1773 0.211905236 1.09 1.09 0.2 0.125 0.38068917 8e+06 1.221740e+04
## 1774 0.138761747 1.09 1.09 0.2 0.125 13.14628204 8e+06 1.748303e+04
## 1775 0.199406600 1.09 1.09 0.2 0.125 0.72486185 8e+06 4.862764e+03
## 1776 0.107502099 1.09 1.09 0.2 0.125 4.24430164 8e+06 7.938304e+03
## 1777 0.143770070 1.09 1.09 0.2 0.125 0.23210146 8e+06 4.121266e+03
## 1778 0.192989629 1.09 1.09 0.2 0.125 5.51715359 8e+06 4.564052e+03
## 1779 0.180772585 1.09 1.09 0.2 0.125 0.49740382 8e+06 6.958067e+03
## 1780 0.497688943 1.09 1.09 0.2 0.125 2.89649074 8e+06 1.045382e+04
## 1781 0.120361638 1.09 1.09 0.2 0.125 0.26138616 8e+06 5.901430e+03
## 1782 0.127207743 1.09 1.09 0.2 0.125 15.84378931 8e+06 1.078880e+04
## 1783 0.348087077 1.09 1.09 0.2 0.125 0.74073232 8e+06 1.724168e+04
## 1784 0.568693547 1.09 1.09 0.2 0.125 1.12675184 8e+06 2.589106e+04
## 1785 0.218657024 1.09 1.09 0.2 0.125 0.85030376 8e+06 1.644705e+04
## 1786 0.151317075 1.09 1.09 0.2 0.125 7.59968127 8e+06 2.369100e+04
## 1787 0.117859235 1.09 1.09 0.2 0.125 0.42925853 8e+06 5.879327e+03
## 1788 0.529899382 1.09 1.09 0.2 0.125 1.28784745 8e+06 8.133696e+03
## 1789 0.359238587 1.09 1.09 0.2 0.125 0.32893904 8e+06 1.424412e+04
## 1790 0.137478885 1.09 1.09 0.2 0.125 5.93897097 8e+06 2.317256e+04
## 1791 0.186491644 1.09 1.09 0.2 0.125 0.52335898 8e+06 4.319970e+03
## 1792 0.050767979 1.09 1.09 0.2 0.125 4.89121778 8e+06 6.747925e+03
## 1793 0.244842085 1.09 1.09 0.2 0.125 0.62788860 8e+06 4.951685e+02
## 1794 0.040617107 1.09 1.09 0.2 0.125 4.85164614 8e+06 5.729832e+02
## 1795 0.239891981 1.09 1.09 0.2 0.125 0.32607766 8e+06 1.468287e+04
## 1796 0.550251721 1.09 1.09 0.2 0.125 18.55831961 8e+06 1.802755e+04
## 1797 0.217259086 1.09 1.09 0.2 0.125 0.57721160 8e+06 2.844373e+03
## 1798 0.053506594 1.09 1.09 0.2 0.125 5.37857994 8e+06 3.346905e+03
## 1799 0.202789985 1.09 1.09 0.2 0.125 0.28259271 8e+06 7.334684e+03
## 1800 0.117644516 1.09 1.09 0.2 0.125 4.71378506 8e+06 1.033548e+04
## 1801 0.236005392 1.09 1.09 0.2 0.125 0.37881410 8e+06 3.891732e+01
## 1802 0.092891675 1.09 1.09 0.2 0.125 4.35892071 8e+06 4.118127e+01
## 1803 0.077170019 1.09 1.09 0.2 0.125 0.28819805 8e+06 1.954886e+04
## 1804 0.592168924 1.09 1.09 0.2 0.125 1.54232651 8e+06 3.605066e+04
## 1805 0.315883113 1.09 1.09 0.2 0.125 0.41106124 8e+06 1.161938e+04
## 1806 0.683968775 1.09 1.09 0.2 0.125 1.62047060 8e+06 1.909135e+04
## 1807 0.338902849 1.09 1.09 0.2 0.125 0.86406856 8e+06 1.860416e+03
## 1808 0.100282122 1.09 1.09 0.2 0.125 5.28683130 8e+06 2.324275e+03
## 1809 0.264099445 1.09 1.09 0.2 0.125 0.40366931 8e+06 2.771246e+02
## 1810 0.572027023 1.09 1.09 0.2 0.125 1.61575581 8e+06 3.729579e+02
## 1811 0.080559228 1.09 1.09 0.2 0.125 0.62256498 8e+06 4.268569e+03
## 1812 0.165190593 1.09 1.09 0.2 0.125 12.65812354 8e+06 8.538946e+03
## 1813 0.397397121 1.09 1.09 0.2 0.125 0.81656802 8e+06 2.145161e+03
## 1814 0.112696186 1.09 1.09 0.2 0.125 5.01581996 8e+06 3.442895e+03
## 1815 0.341182357 1.09 1.09 0.2 0.125 0.62487017 8e+06 6.790048e+03
## 1816 0.516221054 1.09 1.09 0.2 0.125 1.73788868 8e+06 1.029636e+04
## 1817 0.105758218 1.09 1.09 0.2 0.125 0.42402229 8e+06 7.259086e+03
## 1818 0.121239755 1.09 1.09 0.2 0.125 5.66508253 8e+06 1.132393e+04
## 1819 0.344189234 1.09 1.09 0.2 0.125 0.51096952 8e+06 1.963319e+04
## 1820 0.585336450 1.09 1.09 0.2 0.125 1.30298418 8e+06 3.202111e+04
## 1821 0.157061304 1.09 1.09 0.2 0.125 0.70956214 8e+06 1.718631e+04
## 1822 0.579969409 1.09 1.09 0.2 0.125 3.20069911 8e+06 3.410774e+04
## 1823 0.365151051 1.09 1.09 0.2 0.125 0.56418376 8e+06 4.386659e+03
## 1824 0.622038572 1.09 1.09 0.2 0.125 1.86208137 8e+06 6.417089e+03
## 1825 0.237183196 1.09 1.09 0.2 0.125 0.98296475 8e+06 3.666323e+03
## 1826 0.118114356 1.09 1.09 0.2 0.125 3.71535919 8e+06 7.810547e+03
## 1827 0.117987005 1.09 1.09 0.2 0.125 0.37693013 8e+06 5.829054e+03
## 1828 0.105371490 1.09 1.09 0.2 0.125 9.18626662 8e+06 9.013841e+03
## 1829 0.260846842 1.09 1.09 0.2 0.125 0.50239503 8e+06 1.377268e+04
## 1830 0.136495202 1.09 1.09 0.2 0.125 2.68501476 8e+06 2.158608e+04
## 1831 0.142786846 1.09 1.09 0.2 0.125 0.35624002 8e+06 7.872622e+03
## 1832 0.554853132 1.09 1.09 0.2 0.125 1.04261598 8e+06 1.076181e+04
## 1833 0.328368540 1.09 1.09 0.2 0.125 0.82361941 8e+06 9.277323e+03
## 1834 0.167621259 1.09 1.09 0.2 0.125 6.15268149 8e+06 1.523420e+04
## 1835 0.157727169 1.09 1.09 0.2 0.125 0.22766972 8e+06 7.668600e+03
## 1836 0.102597430 1.09 1.09 0.2 0.125 3.23254130 8e+06 1.185439e+04
## 1837 0.178766624 1.09 1.09 0.2 0.125 0.92405039 8e+06 1.479279e+04
## 1838 0.587268247 1.09 1.09 0.2 0.125 2.43245669 8e+06 3.436961e+04
## 1839 0.172159748 1.09 1.09 0.2 0.125 0.82144238 8e+06 1.341472e+03
## 1840 0.100697788 1.09 1.09 0.2 0.125 8.44642581 8e+06 1.665228e+03
## 1841 0.262490606 1.09 1.09 0.2 0.125 0.95654991 8e+06 3.909732e+03
## 1842 0.046557320 1.09 1.09 0.2 0.125 7.12805177 8e+06 4.462375e+03
## 1843 0.367912841 1.09 1.09 0.2 0.125 0.47471399 8e+06 1.236634e+04
## 1844 0.183942854 1.09 1.09 0.2 0.125 3.97519310 8e+06 1.321982e+04
## 1845 0.217838111 1.09 1.09 0.2 0.125 0.95241521 8e+06 7.289322e+03
## 1846 0.031585794 1.09 1.09 0.2 0.125 14.27249546 8e+06 8.873619e+03
## 1847 0.210405760 1.09 1.09 0.2 0.125 0.60100407 8e+06 4.391848e+03
## 1848 0.082833074 1.09 1.09 0.2 0.125 12.04928280 8e+06 7.944837e+03
## 1849 0.083594308 1.09 1.09 0.2 0.125 0.30008603 8e+06 8.617430e+03
## 1850 0.191383169 1.09 1.09 0.2 0.125 4.65880254 8e+06 1.447241e+04
## 1851 0.137381093 1.09 1.09 0.2 0.125 0.99148248 8e+06 2.835379e+03
## 1852 0.731282143 1.09 1.09 0.2 0.125 1.34431984 8e+06 3.532992e+03
## 1853 0.398421317 1.09 1.09 0.2 0.125 0.61856904 8e+06 1.106670e+04
## 1854 0.036863026 1.09 1.09 0.2 0.125 5.17613907 8e+06 1.071090e+04
## 1855 0.289654212 1.09 1.09 0.2 0.125 0.38026365 8e+06 1.582092e+03
## 1856 0.586678364 1.09 1.09 0.2 0.125 4.46317179 8e+06 1.791692e+03
## 1857 0.271639327 1.09 1.09 0.2 0.125 0.66148601 8e+06 1.363471e+04
## 1858 0.120272506 1.09 1.09 0.2 0.125 4.59345244 8e+06 1.936226e+04
## 1859 0.183314641 1.09 1.09 0.2 0.125 0.73132160 8e+06 4.285652e+03
## 1860 0.051736093 1.09 1.09 0.2 0.125 2.24380892 8e+06 5.891540e+03
## 1861 0.102887142 1.09 1.09 0.2 0.125 0.75837026 8e+06 7.867051e+03
## 1862 0.524564478 1.09 1.09 0.2 0.125 1.58076677 8e+06 9.499457e+03
## 1863 0.398038861 1.09 1.09 0.2 0.125 0.88527366 8e+06 7.941588e+01
## 1864 0.096593259 1.09 1.09 0.2 0.125 4.67347614 8e+06 1.019357e+02
## 1865 0.218251778 1.09 1.09 0.2 0.125 0.23404036 8e+06 1.803185e+04
## 1866 0.215123902 1.09 1.09 0.2 0.125 4.79965587 8e+06 2.493825e+04
## 1867 0.398188745 1.09 1.09 0.2 0.125 0.39272168 8e+06 5.327179e+03
## 1868 0.121841528 1.09 1.09 0.2 0.125 5.07391767 8e+06 8.937246e+03
## 1869 0.359026939 1.09 1.09 0.2 0.125 0.46849542 8e+06 4.640165e+03
## 1870 0.527055737 1.09 1.09 0.2 0.125 1.21729673 8e+06 7.476848e+03
## 1871 0.390065088 1.09 1.09 0.2 0.125 0.58863609 8e+06 6.878482e+02
## 1872 0.129775105 1.09 1.09 0.2 0.125 5.71764518 8e+06 1.039974e+03
## 1873 0.228352156 1.09 1.09 0.2 0.125 0.27440853 8e+06 1.123377e+04
## 1874 0.567159649 1.09 1.09 0.2 0.125 1.05958793 8e+06 2.106676e+04
## 1875 0.057722506 1.09 1.09 0.2 0.125 0.44290763 8e+06 2.709929e+03
## 1876 0.460807158 1.09 1.09 0.2 0.125 5.00195172 8e+06 5.225859e+03
## 1877 0.309543650 1.09 1.09 0.2 0.125 0.37801695 8e+06 4.322960e+03
## 1878 0.130938160 1.09 1.09 0.2 0.125 5.72841947 8e+06 8.380866e+03
## 1879 0.148818401 1.09 1.09 0.2 0.125 0.64158237 8e+06 6.412733e+03
## 1880 0.133002618 1.09 1.09 0.2 0.125 3.29109081 8e+06 1.054313e+04
## 1881 0.060536536 1.09 1.09 0.2 0.125 0.99112652 8e+06 1.165167e+04
## 1882 0.114092992 1.09 1.09 0.2 0.125 3.36047627 8e+06 1.779282e+04
## 1883 0.269695543 1.09 1.09 0.2 0.125 0.28783819 8e+06 3.411918e+01
## 1884 0.075938358 1.09 1.09 0.2 0.125 5.90545010 8e+06 3.475092e+01
## 1885 0.346640478 1.09 1.09 0.2 0.125 0.29093656 8e+06 1.111242e+03
## 1886 0.044808300 1.09 1.09 0.2 0.125 3.66841011 8e+06 1.491230e+03
## 1887 0.155236783 1.09 1.09 0.2 0.125 0.95833853 8e+06 6.185292e+02
## 1888 0.102506644 1.09 1.09 0.2 0.125 7.51726025 8e+06 5.522016e+02
## 1889 0.321302390 1.09 1.09 0.2 0.125 0.93830254 8e+06 1.981335e+04
## 1890 0.817872901 1.09 1.09 0.2 0.125 0.56650451 8e+06 1.856458e+04
## 1891 0.266747580 1.09 1.09 0.2 0.125 0.75128694 8e+06 1.073229e+04
## 1892 0.691517199 1.09 1.09 0.2 0.125 2.69416926 8e+06 2.344681e+04
## 1893 0.109430752 1.09 1.09 0.2 0.125 0.85793998 8e+06 1.898813e+04
## 1894 0.602299558 1.09 1.09 0.2 0.125 2.64071522 8e+06 3.053201e+04
## 1895 0.303294889 1.09 1.09 0.2 0.125 0.80810501 8e+06 8.709740e+03
## 1896 0.119484128 1.09 1.09 0.2 0.125 5.84657394 8e+06 1.649292e+04
## 1897 0.350413083 1.09 1.09 0.2 0.125 0.86856628 8e+06 1.500442e+04
## 1898 0.654574475 1.09 1.09 0.2 0.125 3.02497438 8e+06 2.516642e+04
## 1899 0.302814420 1.09 1.09 0.2 0.125 0.57497479 8e+06 1.272094e+04
## 1900 0.544983737 1.09 1.09 0.2 0.125 1.47748483 8e+06 2.259064e+04
## 1901 0.065618086 1.09 1.09 0.2 0.125 0.93513919 8e+06 1.341522e+04
## 1902 0.573543475 1.09 1.09 0.2 0.125 5.48347469 8e+06 2.298216e+04
## 1903 0.228135847 1.09 1.09 0.2 0.125 0.71824102 8e+06 1.563054e+04
## 1904 0.565858880 1.09 1.09 0.2 0.125 3.11268282 8e+06 2.216169e+04
## 1905 0.057402356 1.09 1.09 0.2 0.125 0.53181241 8e+06 1.412283e+04
## 1906 0.246525952 1.09 1.09 0.2 0.125 7.67044016 8e+06 1.118413e+04
## 1907 0.124895895 1.09 1.09 0.2 0.125 0.38489297 8e+06 1.283323e+04
## 1908 0.169838710 1.09 1.09 0.2 0.125 4.44045271 8e+06 2.212353e+04
## 1909 0.351438332 1.09 1.09 0.2 0.125 0.38105562 8e+06 1.478763e+04
## 1910 0.140531575 1.09 1.09 0.2 0.125 4.63662928 8e+06 2.906660e+04
## 1911 0.330245461 1.09 1.09 0.2 0.125 0.55247695 8e+06 5.014421e+03
## 1912 0.047087870 1.09 1.09 0.2 0.125 5.55828441 8e+06 6.478272e+03
## 1913 0.263026417 1.09 1.09 0.2 0.125 0.82650424 8e+06 1.301171e+04
## 1914 0.153570624 1.09 1.09 0.2 0.125 4.71142144 8e+06 2.277098e+04
## 1915 0.268726166 1.09 1.09 0.2 0.125 0.95074368 8e+06 6.110661e+03
## 1916 0.119867994 1.09 1.09 0.2 0.125 8.06124698 8e+06 9.156723e+03
## 1917 0.299438001 1.09 1.09 0.2 0.125 0.33531859 8e+06 8.631454e+03
## 1918 0.160900712 1.09 1.09 0.2 0.125 12.64281810 8e+06 1.255088e+04
## 1919 0.188234166 1.09 1.09 0.2 0.125 0.39738472 8e+06 2.062278e+03
## 1920 0.158857362 1.09 1.09 0.2 0.125 2.49985796 8e+06 4.505364e+03
## 1921 0.391011949 1.09 1.09 0.2 0.125 0.97910398 8e+06 1.495014e+04
## 1922 0.133215146 1.09 1.09 0.2 0.125 14.92001342 8e+06 1.760868e+04
## 1923 0.338380333 1.09 1.09 0.2 0.125 0.81014684 8e+06 1.191856e+04
## 1924 0.696848145 1.09 1.09 0.2 0.125 21.35289006 8e+06 1.859047e+04
## 1925 0.235104379 1.09 1.09 0.2 0.125 0.68741195 8e+06 8.190800e+03
## 1926 0.692231436 1.09 1.09 0.2 0.125 3.95005250 8e+06 2.072667e+04
## 1927 0.386322951 1.09 1.09 0.2 0.125 0.85460939 8e+06 5.051688e+03
## 1928 0.124035727 1.09 1.09 0.2 0.125 4.27061757 8e+06 9.180945e+03
## 1929 0.178912534 1.09 1.09 0.2 0.125 0.68421446 8e+06 1.078747e+04
## 1930 0.550760226 1.09 1.09 0.2 0.125 2.18738572 8e+06 1.487488e+04
## 1931 0.280325841 1.09 1.09 0.2 0.125 0.67279660 8e+06 1.823696e+03
## 1932 0.120074256 1.09 1.09 0.2 0.125 3.73706706 8e+06 3.253825e+03
## 1933 0.246386642 1.09 1.09 0.2 0.125 0.59284738 8e+06 6.502172e+03
## 1934 0.101690598 1.09 1.09 0.2 0.125 3.31765967 8e+06 8.356774e+03
## 1935 0.245532980 1.09 1.09 0.2 0.125 0.75352708 8e+06 1.627533e+04
## 1936 0.129659681 1.09 1.09 0.2 0.125 19.99282933 8e+06 2.591885e+04
## 1937 0.236044463 1.09 1.09 0.2 0.125 0.41985534 8e+06 1.610596e+04
## 1938 0.144969017 1.09 1.09 0.2 0.125 2.21477315 8e+06 3.672858e+04
## 1939 0.297428614 1.09 1.09 0.2 0.125 0.78010953 8e+06 1.341655e+04
## 1940 0.130353431 1.09 1.09 0.2 0.125 6.09684591 8e+06 2.725434e+04
## 1941 0.340690211 1.09 1.09 0.2 0.125 0.21207921 8e+06 1.904566e+04
## 1942 0.143911737 1.09 1.09 0.2 0.125 8.27425543 8e+06 3.303458e+04
## 1943 0.350137614 1.09 1.09 0.2 0.125 0.24698059 8e+06 1.546028e+04
## 1944 0.162161410 1.09 1.09 0.2 0.125 14.08395310 8e+06 2.499832e+04
## 1945 0.182930342 1.09 1.09 0.2 0.125 0.58154657 8e+06 8.604963e+03
## 1946 0.627925605 1.09 1.09 0.2 0.125 1.19022757 8e+06 1.477623e+04
## 1947 0.104003503 1.09 1.09 0.2 0.125 0.93543506 8e+06 7.161847e+02
## 1948 0.520390829 1.09 1.09 0.2 0.125 1.44761557 8e+06 8.526086e+02
## 1949 0.117601068 1.09 1.09 0.2 0.125 0.53154347 8e+06 8.115065e+03
## 1950 0.167521713 1.09 1.09 0.2 0.125 3.20146684 8e+06 1.120356e+04
## 1951 0.359644295 1.09 1.09 0.2 0.125 0.89304717 8e+06 9.544200e+03
## 1952 0.185913509 1.09 1.09 0.2 0.125 15.40461010 8e+06 1.110826e+04
## 1953 0.368683776 1.09 1.09 0.2 0.125 0.34812028 8e+06 7.391177e+02
## 1954 0.100422547 1.09 1.09 0.2 0.125 3.74860072 8e+06 8.327990e+02
## 1955 0.225554091 1.09 1.09 0.2 0.125 0.42195606 8e+06 3.876521e+03
## 1956 0.505595143 1.09 1.09 0.2 0.125 9.61740897 8e+06 5.596333e+03
## 1957 0.399404224 1.09 1.09 0.2 0.125 0.56443125 8e+06 5.124504e+03
## 1958 0.128774668 1.09 1.09 0.2 0.125 6.73470897 8e+06 8.341300e+03
## 1959 0.169307453 1.09 1.09 0.2 0.125 0.78451970 8e+06 1.988571e+04
## 1960 0.179076700 1.09 1.09 0.2 0.125 3.44216688 8e+06 4.150379e+04
## 1961 0.220042868 1.09 1.09 0.2 0.125 0.36085477 8e+06 1.422002e+04
## 1962 0.166620244 1.09 1.09 0.2 0.125 3.76446577 8e+06 1.885044e+04
## 1963 0.237685980 1.09 1.09 0.2 0.125 0.30269425 8e+06 1.725801e+04
## 1964 0.151079963 1.09 1.09 0.2 0.125 18.36423673 8e+06 3.076392e+04
## 1965 0.053055317 1.09 1.09 0.2 0.125 0.80972988 8e+06 3.540962e+03
## 1966 0.145627730 1.09 1.09 0.2 0.125 3.60023735 8e+06 6.284614e+03
## 1967 0.360866372 1.09 1.09 0.2 0.125 0.38430254 8e+06 1.232369e+04
## 1968 0.172884767 1.09 1.09 0.2 0.125 9.97705854 8e+06 2.126973e+04
## 1969 0.298729436 1.09 1.09 0.2 0.125 0.53956294 8e+06 1.880791e+04
## 1970 0.112277116 1.09 1.09 0.2 0.125 3.97168099 8e+06 2.700665e+04
## 1971 0.265742366 1.09 1.09 0.2 0.125 0.76478070 8e+06 1.522655e+04
## 1972 0.167945212 1.09 1.09 0.2 0.125 9.84629296 8e+06 2.086183e+04
## 1973 0.055971093 1.09 1.09 0.2 0.125 0.44175578 8e+06 1.155609e+04
## 1974 0.133418277 1.09 1.09 0.2 0.125 5.58798823 8e+06 1.866052e+04
## 1975 0.271058089 1.09 1.09 0.2 0.125 0.58507427 8e+06 1.923691e+04
## 1976 0.159851935 1.09 1.09 0.2 0.125 12.28980694 8e+06 2.175029e+04
## 1977 0.333541287 1.09 1.09 0.2 0.125 0.64338898 8e+06 1.512981e+04
## 1978 0.117224829 1.09 1.09 0.2 0.125 9.84066829 8e+06 2.762866e+04
## 1979 0.223442435 1.09 1.09 0.2 0.125 0.50560322 8e+06 1.375322e+04
## 1980 0.119270727 1.09 1.09 0.2 0.125 5.31301795 8e+06 2.151298e+04
## 1981 0.371593930 1.09 1.09 0.2 0.125 0.68218736 8e+06 1.946720e+04
## 1982 0.243013111 1.09 1.09 0.2 0.125 14.02315427 8e+06 1.356935e+04
## 1983 0.308281848 1.09 1.09 0.2 0.125 0.83628143 8e+06 8.099822e+03
## 1984 0.196084300 1.09 1.09 0.2 0.125 4.90886078 8e+06 1.189428e+04
## 1985 0.216842704 1.09 1.09 0.2 0.125 0.25798338 8e+06 2.927872e+03
## 1986 0.115992656 1.09 1.09 0.2 0.125 11.17899023 8e+06 5.707968e+03
## 1987 0.143498429 1.09 1.09 0.2 0.125 0.94340513 8e+06 8.567616e+03
## 1988 0.192766926 1.09 1.09 0.2 0.125 7.48978265 8e+06 1.080512e+04
## 1989 0.377395881 1.09 1.09 0.2 0.125 0.99657149 8e+06 4.101886e+03
## 1990 0.053977618 1.09 1.09 0.2 0.125 9.86240960 8e+06 5.152991e+03
## 1991 0.381300711 1.09 1.09 0.2 0.125 0.31046366 8e+06 1.791891e+04
## 1992 0.198240571 1.09 1.09 0.2 0.125 4.13762221 8e+06 1.926391e+04
## 1993 0.074908216 1.09 1.09 0.2 0.125 0.57958322 8e+06 1.657470e+03
## 1994 0.460036581 1.09 1.09 0.2 0.125 3.59043586 8e+06 1.923954e+03
## 1995 0.256743590 1.09 1.09 0.2 0.125 0.40023990 8e+06 2.900899e+03
## 1996 0.490845331 1.09 1.09 0.2 0.125 1.63783891 8e+06 2.494224e+03
## 1997 0.236918073 1.09 1.09 0.2 0.125 0.37574465 8e+06 1.781695e+04
## 1998 0.114695454 1.09 1.09 0.2 0.125 3.70068342 8e+06 2.448856e+04
## 1999 0.105058786 1.09 1.09 0.2 0.125 0.58140990 8e+06 1.380372e+04
## 2000 0.112004148 1.09 1.09 0.2 0.125 5.25756398 8e+06 2.448705e+04
## 2001 0.296938273 1.09 1.09 0.2 0.125 0.52556483 8e+06 3.235442e+03
## 2002 0.167723931 1.09 1.09 0.2 0.125 2.97776891 8e+06 5.986149e+03
## 2003 0.258864718 1.09 1.09 0.2 0.125 0.57239629 8e+06 1.197173e+04
## 2004 0.184766984 1.09 1.09 0.2 0.125 4.06823905 8e+06 1.398682e+04
## 2005 0.209738660 1.09 1.09 0.2 0.125 0.45518220 8e+06 2.171725e+03
## 2006 0.123072176 1.09 1.09 0.2 0.125 2.91407597 8e+06 4.023418e+03
## 2007 0.148010864 1.09 1.09 0.2 0.125 0.69719776 8e+06 1.788725e+04
## 2008 0.143408936 1.09 1.09 0.2 0.125 3.25660127 8e+06 2.516555e+04
## 2009 0.349653645 1.09 1.09 0.2 0.125 0.58614912 8e+06 9.678295e+03
## 2010 0.122809162 1.09 1.09 0.2 0.125 12.85819880 8e+06 1.511987e+04
## 2011 0.284486339 1.09 1.09 0.2 0.125 0.73289908 8e+06 1.759914e+04
## 2012 0.178091427 1.09 1.09 0.2 0.125 8.73893959 8e+06 3.300651e+04
## 2013 0.112499103 1.09 1.09 0.2 0.125 0.51721038 8e+06 1.332764e+04
## 2014 0.145592812 1.09 1.09 0.2 0.125 6.61940087 8e+06 2.208887e+04
## 2015 0.304331219 1.09 1.09 0.2 0.125 0.28303488 8e+06 1.738822e+04
## 2016 0.162200808 1.09 1.09 0.2 0.125 36.84784505 8e+06 3.211877e+04
## 2017 0.244614648 1.09 1.09 0.2 0.125 0.36072371 8e+06 1.567814e+03
## 2018 0.141364538 1.09 1.09 0.2 0.125 3.80569885 8e+06 3.154500e+03
## 2019 0.297270675 1.09 1.09 0.2 0.125 0.87580377 8e+06 7.723064e+03
## 2020 0.597453343 1.09 1.09 0.2 0.125 6.70485077 8e+06 1.298201e+04
## 2021 0.130326012 1.09 1.09 0.2 0.125 0.86035785 8e+06 6.216890e+03
## 2022 0.552405472 1.09 1.09 0.2 0.125 1.30698813 8e+06 8.797947e+03
## 2023 0.340516766 1.09 1.09 0.2 0.125 0.21749310 8e+06 9.606247e+03
## 2024 0.140243981 1.09 1.09 0.2 0.125 4.83036219 8e+06 1.701006e+04
## 2025 0.272698260 1.09 1.09 0.2 0.125 0.71596755 8e+06 1.551377e+04
## 2026 0.568148874 1.09 1.09 0.2 0.125 14.22602420 8e+06 2.356214e+04
## 2027 0.169635614 1.09 1.09 0.2 0.125 0.29327022 8e+06 5.440569e+01
## 2028 0.486184639 1.09 1.09 0.2 0.125 1.71942708 8e+06 5.982361e+01
## 2029 0.201764170 1.09 1.09 0.2 0.125 0.22630969 8e+06 5.490288e+03
## 2030 0.122531457 1.09 1.09 0.2 0.125 5.65892288 8e+06 9.958745e+03
## 2031 0.127432368 1.09 1.09 0.2 0.125 0.24551743 8e+06 4.351467e+03
## 2032 0.504023420 1.09 1.09 0.2 0.125 4.85782238 8e+06 3.938022e+03
## 2033 0.072540400 1.09 1.09 0.2 0.125 0.54894932 8e+06 1.258946e+04
## 2034 0.131682498 1.09 1.09 0.2 0.125 6.07799643 8e+06 2.172567e+04
## 2035 0.338958649 1.09 1.09 0.2 0.125 0.74585581 8e+06 1.713015e+04
## 2036 0.181097187 1.09 1.09 0.2 0.125 16.68571917 8e+06 2.456792e+04
## 2037 0.158646063 1.09 1.09 0.2 0.125 0.94973574 8e+06 1.728263e+03
## 2038 0.050360081 1.09 1.09 0.2 0.125 15.30056005 8e+06 2.293754e+03
## 2039 0.218937849 1.09 1.09 0.2 0.125 0.44956080 8e+06 1.848592e+04
## 2040 0.169761391 1.09 1.09 0.2 0.125 13.40348831 8e+06 2.245362e+04
## 2041 0.271574572 1.09 1.09 0.2 0.125 0.98029447 8e+06 9.016359e+03
## 2042 0.113929276 1.09 1.09 0.2 0.125 4.61128165 8e+06 1.044010e+04
## 2043 0.173140269 1.09 1.09 0.2 0.125 0.34093763 8e+06 3.585140e+03
## 2044 0.051735696 1.09 1.09 0.2 0.125 7.70899475 8e+06 4.924590e+03
## 2045 0.221866941 1.09 1.09 0.2 0.125 0.77517266 8e+06 1.123078e+04
## 2046 0.519553394 1.09 1.09 0.2 0.125 7.44001974 8e+06 1.369904e+04
## 2047 0.337050724 1.09 1.09 0.2 0.125 0.44158918 8e+06 5.946100e+03
## 2048 0.043091810 1.09 1.09 0.2 0.125 5.39500536 8e+06 8.083938e+03
## 2049 0.161226728 1.09 1.09 0.2 0.125 0.23372244 8e+06 5.388178e+02
## 2050 0.491922722 1.09 1.09 0.2 0.125 1.06297468 8e+06 4.995507e+02
## 2051 0.121919736 1.09 1.09 0.2 0.125 0.74836557 8e+06 4.324206e+03
## 2052 0.584034402 1.09 1.09 0.2 0.125 6.32849874 8e+06 4.663743e+03
## 2053 0.270160723 1.09 1.09 0.2 0.125 0.63680348 8e+06 1.558446e+04
## 2054 0.129632203 1.09 1.09 0.2 0.125 2.31805989 8e+06 2.550661e+04
## 2055 0.203652980 1.09 1.09 0.2 0.125 0.86642083 8e+06 1.813865e+03
## 2056 0.054601691 1.09 1.09 0.2 0.125 7.96195510 8e+06 1.918813e+03
## 2057 0.125642756 1.09 1.09 0.2 0.125 0.59347489 8e+06 1.093940e+03
## 2058 0.076580110 1.09 1.09 0.2 0.125 1.09153865 8e+06 1.361338e+03
## 2059 0.286141051 1.09 1.09 0.2 0.125 0.38008532 8e+06 6.640633e+03
## 2060 0.126767929 1.09 1.09 0.2 0.125 3.81784015 8e+06 1.373557e+04
## 2061 0.069847832 1.09 1.09 0.2 0.125 0.59976770 8e+06 1.867287e+03
## 2062 0.048541009 1.09 1.09 0.2 0.125 7.93934568 8e+06 2.129051e+03
## 2063 0.255769416 1.09 1.09 0.2 0.125 0.46322572 8e+06 3.143236e+03
## 2064 0.189225855 1.09 1.09 0.2 0.125 6.73387679 8e+06 6.173438e+03
## 2065 0.319337009 1.09 1.09 0.2 0.125 0.21380927 8e+06 2.747048e+03
## 2066 0.100407376 1.09 1.09 0.2 0.125 8.26744995 8e+06 3.026612e+03
## 2067 0.307584298 1.09 1.09 0.2 0.125 0.49494500 8e+06 1.423586e+03
## 2068 0.291081701 1.09 1.09 0.2 0.125 1.56941610 8e+06 1.266388e+03
## 2069 0.376975350 1.09 1.09 0.2 0.125 0.38544846 8e+06 4.145769e+03
## 2070 0.517802462 1.09 1.09 0.2 0.125 9.37607251 8e+06 5.080681e+03
## 2071 0.393159661 1.09 1.09 0.2 0.125 0.81205869 8e+06 1.358242e+04
## 2072 0.135891395 1.09 1.09 0.2 0.125 3.63089718 8e+06 2.771862e+04
## 2073 0.122336475 1.09 1.09 0.2 0.125 0.62440888 8e+06 4.363007e+03
## 2074 0.505671843 1.09 1.09 0.2 0.125 6.49672352 8e+06 8.339614e+03
## 2075 0.131229109 1.09 1.09 0.2 0.125 0.46214034 8e+06 1.712057e+04
## 2076 0.172129974 1.09 1.09 0.2 0.125 6.25052235 8e+06 2.243397e+04
## 2077 0.133183908 1.09 1.09 0.2 0.125 0.75005821 8e+06 1.904372e+03
## 2078 0.102828135 1.09 1.09 0.2 0.125 11.23334280 8e+06 2.666866e+03
## 2079 0.072930789 1.09 1.09 0.2 0.125 0.60727968 8e+06 2.953232e+03
## 2080 0.607893039 1.09 1.09 0.2 0.125 1.45233197 8e+06 4.801722e+03
## 2081 0.383117647 1.09 1.09 0.2 0.125 0.98268202 8e+06 5.349965e+03
## 2082 0.049346222 1.09 1.09 0.2 0.125 3.07082670 8e+06 7.316336e+03
## 2083 0.249796086 1.09 1.09 0.2 0.125 0.87108023 8e+06 1.391001e+02
## 2084 0.041853456 1.09 1.09 0.2 0.125 3.83227372 8e+06 1.500046e+02
## 2085 0.219684245 1.09 1.09 0.2 0.125 0.78182057 8e+06 1.819143e+04
## 2086 0.059888519 1.09 1.09 0.2 0.125 3.71269528 8e+06 2.145702e+04
## 2087 0.302063708 1.09 1.09 0.2 0.125 0.79801915 8e+06 1.147914e+04
## 2088 0.563571293 1.09 1.09 0.2 0.125 1.97083739 8e+06 2.207055e+04
## 2089 0.212542957 1.09 1.09 0.2 0.125 0.20184251 8e+06 1.004258e+03
## 2090 0.495519136 1.09 1.09 0.2 0.125 1.33107028 8e+06 1.187971e+03
## 2091 0.179445684 1.09 1.09 0.2 0.125 0.84472985 8e+06 1.985612e+04
## 2092 0.165305020 1.09 1.09 0.2 0.125 7.82736841 8e+06 2.994602e+04
## 2093 0.137962863 1.09 1.09 0.2 0.125 0.84875162 8e+06 1.480459e+04
## 2094 0.639412086 1.09 1.09 0.2 0.125 19.11625180 8e+06 2.747824e+04
## 2095 0.148418371 1.09 1.09 0.2 0.125 0.47153863 8e+06 1.980361e+04
## 2096 0.181901839 1.09 1.09 0.2 0.125 8.34141034 8e+06 3.361029e+04
## 2097 0.139671830 1.09 1.09 0.2 0.125 0.82639450 8e+06 3.080380e+02
## 2098 0.802818674 1.09 1.09 0.2 0.125 2.51998289 8e+06 3.835283e+02
## 2099 0.327788345 1.09 1.09 0.2 0.125 0.35085762 8e+06 9.181938e+03
## 2100 0.960125777 1.09 1.09 0.2 0.125 0.60572730 8e+06 7.718465e+03
## 2101 0.267291995 1.09 1.09 0.2 0.125 0.55810121 8e+06 1.513225e+04
## 2102 0.561398558 1.09 1.09 0.2 0.125 5.33968567 8e+06 2.855469e+04
## 2103 0.222040096 1.09 1.09 0.2 0.125 0.75691940 8e+06 1.870959e+04
## 2104 0.176779256 1.09 1.09 0.2 0.125 36.52690626 8e+06 4.207462e+04
## 2105 0.296091082 1.09 1.09 0.2 0.125 0.65284572 8e+06 6.579681e+03
## 2106 0.116140366 1.09 1.09 0.2 0.125 4.02948958 8e+06 1.047433e+04
## 2107 0.325402856 1.09 1.09 0.2 0.125 0.29042933 8e+06 8.675027e+03
## 2108 0.103012274 1.09 1.09 0.2 0.125 9.98926040 8e+06 1.105162e+04
## 2109 0.187261264 1.09 1.09 0.2 0.125 0.59784795 8e+06 1.459068e+04
## 2110 0.659379855 1.09 1.09 0.2 0.125 2.56960327 8e+06 3.098089e+04
## 2111 0.161177410 1.09 1.09 0.2 0.125 0.61904684 8e+06 6.555147e+03
## 2112 0.559727047 1.09 1.09 0.2 0.125 10.43808649 8e+06 1.187214e+04
## 2113 0.275995144 1.09 1.09 0.2 0.125 0.90935296 8e+06 9.268213e+03
## 2114 0.148495151 1.09 1.09 0.2 0.125 8.10889543 8e+06 1.720119e+04
## 2115 0.184139654 1.09 1.09 0.2 0.125 0.70905228 8e+06 3.229317e+03
## 2116 0.147692697 1.09 1.09 0.2 0.125 5.67045121 8e+06 5.517166e+03
## 2117 0.236116581 1.09 1.09 0.2 0.125 0.75737237 8e+06 2.310677e+03
## 2118 0.177921456 1.09 1.09 0.2 0.125 7.62009622 8e+06 4.885181e+03
## 2119 0.245395090 1.09 1.09 0.2 0.125 0.73148460 8e+06 1.628181e+04
## 2120 0.208257943 1.09 1.09 0.2 0.125 5.80577080 8e+06 1.912482e+04
## 2121 0.216634108 1.09 1.09 0.2 0.125 0.49641611 8e+06 7.340071e+03
## 2122 0.244759356 1.09 1.09 0.2 0.125 4.55684692 8e+06 8.907878e+03
## 2123 0.234989968 1.09 1.09 0.2 0.125 0.23569312 8e+06 7.166656e+03
## 2124 0.116913950 1.09 1.09 0.2 0.125 20.43718585 8e+06 1.230670e+04
## 2125 0.125030215 1.09 1.09 0.2 0.125 0.86330708 8e+06 7.937827e+03
## 2126 0.499665866 1.09 1.09 0.2 0.125 12.54799802 8e+06 1.466583e+04
## 2127 0.315953099 1.09 1.09 0.2 0.125 0.68853852 8e+06 3.540578e+03
## 2128 0.519184752 1.09 1.09 0.2 0.125 1.49308283 8e+06 4.415280e+03
## 2129 0.315976592 1.09 1.09 0.2 0.125 0.62819560 8e+06 1.316588e+04
## 2130 0.179381476 1.09 1.09 0.2 0.125 12.36912826 8e+06 1.816965e+04
## 2131 0.341631726 1.09 1.09 0.2 0.125 0.73693389 8e+06 1.365798e+04
## 2132 0.150221507 1.09 1.09 0.2 0.125 5.80828075 8e+06 1.770354e+04
## 2133 0.071485134 1.09 1.09 0.2 0.125 0.28627046 8e+06 1.441410e+04
## 2134 0.182442302 1.09 1.09 0.2 0.125 5.01069234 8e+06 1.919731e+04
## 2135 0.057914160 1.09 1.09 0.2 0.125 0.55304068 8e+06 1.378557e+04
## 2136 0.545342993 1.09 1.09 0.2 0.125 1.69996914 8e+06 2.338356e+04
## 2137 0.120229581 1.09 1.09 0.2 0.125 0.71198215 8e+06 1.485242e+04
## 2138 0.666178161 1.09 1.09 0.2 0.125 3.39538902 8e+06 2.459933e+04
## 2139 0.254577525 1.09 1.09 0.2 0.125 0.51744367 8e+06 5.490748e+03
## 2140 0.612570485 1.09 1.09 0.2 0.125 1.25911524 8e+06 1.111052e+04
## 2141 0.211867920 1.09 1.09 0.2 0.125 0.47976415 8e+06 1.201389e+04
## 2142 0.320406316 1.09 1.09 0.2 0.125 3.26897844 8e+06 1.130013e+04
## 2143 0.239250218 1.09 1.09 0.2 0.125 0.96851516 8e+06 1.931058e+04
## 2144 0.175030338 1.09 1.09 0.2 0.125 5.76154489 8e+06 3.232978e+04
## 2145 0.157199573 1.09 1.09 0.2 0.125 0.97848627 8e+06 1.848433e+04
## 2146 0.177323180 1.09 1.09 0.2 0.125 4.65171624 8e+06 2.640992e+04
## 2147 0.244700897 1.09 1.09 0.2 0.125 0.79197691 8e+06 1.585403e+04
## 2148 0.143756045 1.09 1.09 0.2 0.125 9.97218780 8e+06 1.680423e+04
## 2149 0.361997124 1.09 1.09 0.2 0.125 0.32920416 8e+06 1.645174e+04
## 2150 0.120178904 1.09 1.09 0.2 0.125 10.85036171 8e+06 2.295810e+04
## 2151 0.127618846 1.09 1.09 0.2 0.125 0.95159118 8e+06 3.665192e+02
## 2152 0.493565108 1.09 1.09 0.2 0.125 5.62322761 8e+06 3.585217e+02
## 2153 0.101351162 1.09 1.09 0.2 0.125 0.25307825 8e+06 1.860181e+04
## 2154 0.151910214 1.09 1.09 0.2 0.125 2.89418243 8e+06 2.643022e+04
## 2155 0.095575333 1.09 1.09 0.2 0.125 0.32713267 8e+06 6.251925e+03
## 2156 0.134199873 1.09 1.09 0.2 0.125 42.19094999 8e+06 1.365067e+04
## 2157 0.098106185 1.09 1.09 0.2 0.125 0.83470862 8e+06 1.529215e+04
## 2158 0.615172743 1.09 1.09 0.2 0.125 2.29541970 8e+06 2.556180e+04
## 2159 0.077447131 1.09 1.09 0.2 0.125 0.62346983 8e+06 9.371092e+03
## 2160 0.629996394 1.09 1.09 0.2 0.125 1.71314810 8e+06 1.363931e+04
## 2161 0.349496069 1.09 1.09 0.2 0.125 0.93229941 8e+06 1.664826e+04
## 2162 0.109433166 1.09 1.09 0.2 0.125 13.53730438 8e+06 2.020047e+04
## 2163 0.122763213 1.09 1.09 0.2 0.125 0.73681668 8e+06 6.005606e+03
## 2164 0.131925805 1.09 1.09 0.2 0.125 7.81684239 8e+06 1.027719e+04
## 2165 0.375615643 1.09 1.09 0.2 0.125 0.52412812 8e+06 3.214449e+03
## 2166 0.057714772 1.09 1.09 0.2 0.125 2.21266894 8e+06 2.812893e+03
## 2167 0.100730345 1.09 1.09 0.2 0.125 0.26834108 8e+06 4.462316e+03
## 2168 0.110345954 1.09 1.09 0.2 0.125 8.58146379 8e+06 6.565719e+03
## 2169 0.368284771 1.09 1.09 0.2 0.125 0.84664704 8e+06 3.374048e+03
## 2170 0.096271652 1.09 1.09 0.2 0.125 4.25270460 8e+06 3.762769e+03
## 2171 0.247407583 1.09 1.09 0.2 0.125 0.22735191 8e+06 1.368630e+04
## 2172 0.133419634 1.09 1.09 0.2 0.125 6.90760001 8e+06 2.112879e+04
## 2173 0.339573287 1.09 1.09 0.2 0.125 0.59386656 8e+06 1.074677e+04
## 2174 0.061262416 1.09 1.09 0.2 0.125 5.48398650 8e+06 1.738639e+04
## 2175 0.082355327 1.09 1.09 0.2 0.125 0.59981932 8e+06 6.312823e+03
## 2176 0.131362891 1.09 1.09 0.2 0.125 8.20812904 8e+06 9.998442e+03
## 2177 0.159091815 1.09 1.09 0.2 0.125 0.24559130 8e+06 1.121302e+03
## 2178 0.032460757 1.09 1.09 0.2 0.125 0.25559556 8e+06 1.138525e+03
## 2179 0.176313908 1.09 1.09 0.2 0.125 0.32401901 8e+06 1.544986e+04
## 2180 0.572760303 1.09 1.09 0.2 0.125 1.56193966 8e+06 2.596602e+04
## 2181 0.055761708 1.09 1.09 0.2 0.125 0.84645185 8e+06 6.827203e+03
## 2182 0.137923998 1.09 1.09 0.2 0.125 2.82326742 8e+06 1.389298e+04
## 2183 0.109116818 1.09 1.09 0.2 0.125 0.62915099 8e+06 2.272107e+03
## 2184 0.107228707 1.09 1.09 0.2 0.125 6.02583231 8e+06 3.905855e+03
## 2185 0.264184409 1.09 1.09 0.2 0.125 0.66063535 8e+06 1.720041e+04
## 2186 0.153075444 1.09 1.09 0.2 0.125 6.53305261 8e+06 2.814359e+04
## 2187 0.366716089 1.09 1.09 0.2 0.125 0.93011456 8e+06 1.631241e+04
## 2188 0.131339635 1.09 1.09 0.2 0.125 3.31343685 8e+06 3.171307e+04
## 2189 0.357469643 1.09 1.09 0.2 0.125 0.72878477 8e+06 1.044049e+04
## 2190 0.133964960 1.09 1.09 0.2 0.125 5.44980773 8e+06 1.897805e+04
## 2191 0.162918449 1.09 1.09 0.2 0.125 0.54146946 8e+06 1.402259e+04
## 2192 0.189813131 1.09 1.09 0.2 0.125 17.99964488 8e+06 2.037832e+04
## 2193 0.078994862 1.09 1.09 0.2 0.125 0.89095333 8e+06 1.583859e+04
## 2194 0.132431093 1.09 1.09 0.2 0.125 9.34262708 8e+06 2.178969e+04
## 2195 0.068244523 1.09 1.09 0.2 0.125 0.55358499 8e+06 1.043824e+04
## 2196 0.519924576 1.09 1.09 0.2 0.125 1.71733022 8e+06 1.844246e+04
## 2197 0.367049774 1.09 1.09 0.2 0.125 0.28052165 8e+06 1.872206e+04
## 2198 0.148141552 1.09 1.09 0.2 0.125 7.17884535 8e+06 3.834050e+04
## 2199 0.384529152 1.09 1.09 0.2 0.125 0.83898621 8e+06 1.752149e+04
## 2200 0.267434552 1.09 1.09 0.2 0.125 15.33708244 8e+06 1.116308e+04
## 2201 0.125060555 1.09 1.09 0.2 0.125 0.21766704 8e+06 9.766211e+03
## 2202 0.152593772 1.09 1.09 0.2 0.125 7.08730301 8e+06 1.470914e+04
## 2203 0.157166415 1.09 1.09 0.2 0.125 0.38477947 8e+06 1.475393e+04
## 2204 0.115949634 1.09 1.09 0.2 0.125 6.22740736 8e+06 1.987235e+04
## 2205 0.105294983 1.09 1.09 0.2 0.125 0.72796604 8e+06 6.296918e+03
## 2206 0.047189528 1.09 1.09 0.2 0.125 3.14306498 8e+06 7.369407e+03
## 2207 0.152877078 1.09 1.09 0.2 0.125 0.68546658 8e+06 1.214858e+04
## 2208 0.145438525 1.09 1.09 0.2 0.125 7.70293541 8e+06 1.603862e+04
## 2209 0.338210366 1.09 1.09 0.2 0.125 0.69871796 8e+06 1.821486e+04
## 2210 0.186114948 1.09 1.09 0.2 0.125 3.80965171 8e+06 2.448703e+04
## 2211 0.242028862 1.09 1.09 0.2 0.125 0.96932946 8e+06 7.564984e+03
## 2212 0.178455141 1.09 1.09 0.2 0.125 1.28747012 8e+06 1.002691e+04
## 2213 0.373648069 1.09 1.09 0.2 0.125 0.39398141 8e+06 1.742543e+04
## 2214 0.147597595 1.09 1.09 0.2 0.125 3.11781643 8e+06 2.843064e+04
## 2215 0.398635607 1.09 1.09 0.2 0.125 0.75041782 8e+06 1.610812e+04
## 2216 0.182760995 1.09 1.09 0.2 0.125 5.11133672 8e+06 2.372573e+04
## 2217 0.067286791 1.09 1.09 0.2 0.125 0.70995950 8e+06 1.850399e+04
## 2218 0.664548046 1.09 1.09 0.2 0.125 2.41220158 8e+06 3.907420e+04
## 2219 0.111446010 1.09 1.09 0.2 0.125 0.52402594 8e+06 6.451228e+03
## 2220 0.096929931 1.09 1.09 0.2 0.125 49.55262570 8e+06 9.085985e+03
## 2221 0.150746634 1.09 1.09 0.2 0.125 0.49438325 8e+06 8.307595e+03
## 2222 0.138581023 1.09 1.09 0.2 0.125 9.73691863 8e+06 1.345853e+04
## 2223 0.141261638 1.09 1.09 0.2 0.125 0.83163157 8e+06 3.200001e+03
## 2224 0.525733550 1.09 1.09 0.2 0.125 12.27747548 8e+06 3.386734e+03
## 2225 0.238402822 1.09 1.09 0.2 0.125 0.81902280 8e+06 9.213409e+02
## 2226 0.043886482 1.09 1.09 0.2 0.125 6.62387565 8e+06 1.150976e+03
## 2227 0.103711833 1.09 1.09 0.2 0.125 0.97764193 8e+06 1.318749e+04
## 2228 0.166093732 1.09 1.09 0.2 0.125 5.04547099 8e+06 2.006017e+04
## 2229 0.302580096 1.09 1.09 0.2 0.125 0.67496333 8e+06 2.729313e+03
## 2230 0.276396973 1.09 1.09 0.2 0.125 1.45839336 8e+06 3.487171e+03
## 2231 0.098224411 1.09 1.09 0.2 0.125 0.93713256 8e+06 1.557747e+04
## 2232 0.170675914 1.09 1.09 0.2 0.125 6.08537640 8e+06 2.613052e+04
## 2233 0.238712288 1.09 1.09 0.2 0.125 0.78262160 8e+06 1.090835e+03
## 2234 0.141017922 1.09 1.09 0.2 0.125 9.03984965 8e+06 2.041565e+03
## 2235 0.110806475 1.09 1.09 0.2 0.125 0.57931091 8e+06 7.294822e+03
## 2236 0.178166249 1.09 1.09 0.2 0.125 6.82463572 8e+06 1.038891e+04
## 2237 0.381229834 1.09 1.09 0.2 0.125 0.73193690 8e+06 6.329907e+03
## 2238 0.609961048 1.09 1.09 0.2 0.125 2.05004426 8e+06 9.395089e+03
## 2239 0.095858972 1.09 1.09 0.2 0.125 0.71056991 8e+06 3.520575e+03
## 2240 0.530768764 1.09 1.09 0.2 0.125 1.07482730 8e+06 4.442398e+03
## 2241 0.269835951 1.09 1.09 0.2 0.125 0.37645314 8e+06 4.907471e+03
## 2242 0.087156851 1.09 1.09 0.2 0.125 4.71047372 8e+06 5.976776e+03
## 2243 0.164715481 1.09 1.09 0.2 0.125 0.75130084 8e+06 9.000267e+03
## 2244 0.174837655 1.09 1.09 0.2 0.125 6.83774307 8e+06 1.468410e+04
## 2245 0.210273801 1.09 1.09 0.2 0.125 0.21445811 8e+06 6.344477e+03
## 2246 0.114891254 1.09 1.09 0.2 0.125 6.09440700 8e+06 1.002828e+04
## 2247 0.200046628 1.09 1.09 0.2 0.125 0.47009242 8e+06 9.062087e+03
## 2248 0.138429522 1.09 1.09 0.2 0.125 4.18215169 8e+06 1.435012e+04
## 2249 0.383536113 1.09 1.09 0.2 0.125 0.96194053 8e+06 6.827703e+02
## 2250 0.098761641 1.09 1.09 0.2 0.125 3.33365239 8e+06 7.501694e+02
## 2251 0.390924368 1.09 1.09 0.2 0.125 0.52710737 8e+06 9.616722e+03
## 2252 0.774575991 1.09 1.09 0.2 0.125 2.12381584 8e+06 1.223494e+04
## 2253 0.381167143 1.09 1.09 0.2 0.125 0.77658581 8e+06 1.544310e+03
## 2254 0.119740753 1.09 1.09 0.2 0.125 3.18604520 8e+06 2.373517e+03
## 2255 0.308114499 1.09 1.09 0.2 0.125 0.49350566 8e+06 1.920298e+04
## 2256 0.139638721 1.09 1.09 0.2 0.125 10.92133975 8e+06 3.412948e+04
## 2257 0.326879708 1.09 1.09 0.2 0.125 0.21110546 8e+06 1.331676e+04
## 2258 0.126981088 1.09 1.09 0.2 0.125 2.13263076 8e+06 2.302315e+04
## 2259 0.111868913 1.09 1.09 0.2 0.125 0.41824846 8e+06 1.870548e+04
## 2260 0.542742927 1.09 1.09 0.2 0.125 1.83903448 8e+06 3.438813e+04
## 2261 0.152997723 1.09 1.09 0.2 0.125 0.84402394 8e+06 6.844877e+03
## 2262 0.123241172 1.09 1.09 0.2 0.125 5.94812255 8e+06 9.500501e+03
## 2263 0.089719005 1.09 1.09 0.2 0.125 0.96223233 8e+06 8.817351e+03
## 2264 0.147597038 1.09 1.09 0.2 0.125 8.07076553 8e+06 1.878054e+04
## 2265 0.285387107 1.09 1.09 0.2 0.125 0.83753629 8e+06 6.477850e+03
## 2266 0.146576615 1.09 1.09 0.2 0.125 6.84983666 8e+06 8.585074e+03
## 2267 0.051703476 1.09 1.09 0.2 0.125 0.49522694 8e+06 1.066728e+04
## 2268 0.544559051 1.09 1.09 0.2 0.125 1.92927628 8e+06 1.918742e+04
## 2269 0.147351221 1.09 1.09 0.2 0.125 0.95928452 8e+06 1.387643e+04
## 2270 0.193638000 1.09 1.09 0.2 0.125 7.24149437 8e+06 1.676860e+04
## 2271 0.053072770 1.09 1.09 0.2 0.125 0.60925955 8e+06 9.381516e+03
## 2272 0.536183819 1.09 1.09 0.2 0.125 2.96347175 8e+06 1.127264e+04
## 2273 0.319530648 1.09 1.09 0.2 0.125 0.91694875 8e+06 4.954586e+03
## 2274 0.114561634 1.09 1.09 0.2 0.125 7.37742501 8e+06 7.198900e+03
## 2275 0.399348253 1.09 1.09 0.2 0.125 0.33163128 8e+06 8.049822e+03
## 2276 0.121035418 1.09 1.09 0.2 0.125 4.73468866 8e+06 1.370122e+04
## 2277 0.154457052 1.09 1.09 0.2 0.125 0.67323698 8e+06 2.365877e+03
## 2278 0.047093685 1.09 1.09 0.2 0.125 2.81960523 8e+06 2.691201e+03
## 2279 0.376472694 1.09 1.09 0.2 0.125 0.68897755 8e+06 6.277251e+03
## 2280 0.128629434 1.09 1.09 0.2 0.125 6.44416418 8e+06 9.487077e+03
## 2281 0.207054082 1.09 1.09 0.2 0.125 0.84017112 8e+06 4.265907e+03
## 2282 0.103536100 1.09 1.09 0.2 0.125 3.24341022 8e+06 6.157102e+03
## 2283 0.201744904 1.09 1.09 0.2 0.125 0.37712269 8e+06 3.616116e+03
## 2284 0.107855358 1.09 1.09 0.2 0.125 17.36271056 8e+06 4.625048e+03
## 2285 0.250336863 1.09 1.09 0.2 0.125 0.58649215 8e+06 1.343097e+04
## 2286 0.145008127 1.09 1.09 0.2 0.125 17.17208417 8e+06 2.810665e+04
## 2287 0.367841309 1.09 1.09 0.2 0.125 0.72274673 8e+06 2.420846e+03
## 2288 0.104003130 1.09 1.09 0.2 0.125 3.73914712 8e+06 2.901742e+03
## 2289 0.187528510 1.09 1.09 0.2 0.125 0.21979232 8e+06 1.481474e+04
## 2290 0.156254146 1.09 1.09 0.2 0.125 7.30981141 8e+06 2.121148e+04
## 2291 0.217907066 1.09 1.09 0.2 0.125 0.23340462 8e+06 8.924416e+03
## 2292 0.577638047 1.09 1.09 0.2 0.125 1.45766544 8e+06 1.599180e+04
## 2293 0.300486166 1.09 1.09 0.2 0.125 0.53189928 8e+06 3.750969e+03
## 2294 0.053739579 1.09 1.09 0.2 0.125 5.33209024 8e+06 5.345769e+03
## 2295 0.286783589 1.09 1.09 0.2 0.125 0.86058238 8e+06 5.324132e+03
## 2296 0.687989633 1.09 1.09 0.2 0.125 1.55556566 8e+06 1.160519e+04
## 2297 0.261211427 1.09 1.09 0.2 0.125 0.92318128 8e+06 1.307951e+02
## 2298 0.588602877 1.09 1.09 0.2 0.125 2.05780095 8e+06 1.617554e+02
## 2299 0.378733508 1.09 1.09 0.2 0.125 0.39944883 8e+06 6.970214e+03
## 2300 0.140621125 1.09 1.09 0.2 0.125 3.71526617 8e+06 1.192687e+04
## 2301 0.075209911 1.09 1.09 0.2 0.125 0.24087841 8e+06 6.914846e+03
## 2302 0.163072928 1.09 1.09 0.2 0.125 6.33321387 8e+06 1.148529e+04
## 2303 0.082426665 1.09 1.09 0.2 0.125 0.51548491 8e+06 1.021584e+03
## 2304 0.112105661 1.09 1.09 0.2 0.125 10.96261046 8e+06 1.534651e+03
## 2305 0.125106087 1.09 1.09 0.2 0.125 0.97240239 8e+06 1.802341e+04
## 2306 0.159878901 1.09 1.09 0.2 0.125 9.97333882 8e+06 3.882070e+04
## 2307 0.388234590 1.09 1.09 0.2 0.125 0.47610260 8e+06 1.199116e+04
## 2308 0.134460329 1.09 1.09 0.2 0.125 19.45601996 8e+06 2.487191e+04
## 2309 0.296567735 1.09 1.09 0.2 0.125 0.52821528 8e+06 1.032758e+04
## 2310 0.125421321 1.09 1.09 0.2 0.125 4.20133895 8e+06 1.737344e+04
## 2311 0.057140211 1.09 1.09 0.2 0.125 0.35218808 8e+06 1.247712e+04
## 2312 0.162044203 1.09 1.09 0.2 0.125 6.36567471 8e+06 1.860718e+04
## 2313 0.242993925 1.09 1.09 0.2 0.125 0.83207310 8e+06 9.933420e+03
## 2314 0.556762992 1.09 1.09 0.2 0.125 1.78903202 8e+06 1.734998e+04
## 2315 0.261171190 1.09 1.09 0.2 0.125 0.93936044 8e+06 1.034036e+03
## 2316 0.627139278 1.09 1.09 0.2 0.125 1.71073044 8e+06 1.396744e+03
## 2317 0.139487648 1.09 1.09 0.2 0.125 0.29947550 8e+06 1.135690e+04
## 2318 0.130453376 1.09 1.09 0.2 0.125 5.25330567 8e+06 1.659988e+04
## 2319 0.194279255 1.09 1.09 0.2 0.125 0.51610176 8e+06 5.588336e+03
## 2320 0.161547367 1.09 1.09 0.2 0.125 3.84669663 8e+06 1.064168e+04
## 2321 0.170207286 1.09 1.09 0.2 0.125 0.79175042 8e+06 1.595339e+04
## 2322 0.141591122 1.09 1.09 0.2 0.125 0.08685429 8e+06 1.558382e+04
## 2323 0.212403861 1.09 1.09 0.2 0.125 0.38217120 8e+06 1.294287e+04
## 2324 0.634255742 1.09 1.09 0.2 0.125 1.84721541 8e+06 2.990625e+04
## 2325 0.370663446 1.09 1.09 0.2 0.125 0.36643578 8e+06 2.750928e+03
## 2326 0.112439458 1.09 1.09 0.2 0.125 3.60330987 8e+06 4.505947e+03
## 2327 0.145684284 1.09 1.09 0.2 0.125 0.84891672 8e+06 5.098574e+03
## 2328 0.675181018 1.09 1.09 0.2 0.125 2.79145239 8e+06 9.034783e+03
## 2329 0.246790445 1.09 1.09 0.2 0.125 0.95389636 8e+06 5.866767e+03
## 2330 0.433669183 1.09 1.09 0.2 0.125 4.99480448 8e+06 8.012347e+03
## 2331 0.324182110 1.09 1.09 0.2 0.125 0.36294345 8e+06 3.934440e+03
## 2332 0.556906323 1.09 1.09 0.2 0.125 12.60768847 8e+06 5.676152e+03
## 2333 0.368084489 1.09 1.09 0.2 0.125 0.85111014 8e+06 1.498134e+04
## 2334 0.134931598 1.09 1.09 0.2 0.125 13.39468615 8e+06 2.403448e+04
## 2335 0.296295823 1.09 1.09 0.2 0.125 0.22070567 8e+06 6.710091e+03
## 2336 0.162732455 1.09 1.09 0.2 0.125 4.31288731 8e+06 1.120667e+04
## 2337 0.281028755 1.09 1.09 0.2 0.125 0.25482172 8e+06 1.490710e+04
## 2338 0.170477642 1.09 1.09 0.2 0.125 8.32841482 8e+06 2.264086e+04
## 2339 0.374894077 1.09 1.09 0.2 0.125 0.37139872 8e+06 1.418942e+03
## 2340 0.125690312 1.09 1.09 0.2 0.125 3.58606637 8e+06 2.143539e+03
## 2341 0.334230398 1.09 1.09 0.2 0.125 0.42465145 8e+06 5.573021e+03
## 2342 0.064681426 1.09 1.09 0.2 0.125 2.97569624 8e+06 6.285597e+03
## 2343 0.346960830 1.09 1.09 0.2 0.125 0.79498262 8e+06 7.442256e+03
## 2344 0.525147770 1.09 1.09 0.2 0.125 2.54294797 8e+06 1.158076e+04
## 2345 0.210825299 1.09 1.09 0.2 0.125 0.31754136 8e+06 1.246691e+03
## 2346 0.507343236 1.09 1.09 0.2 0.125 5.03054403 8e+06 1.142501e+03
## 2347 0.263343752 1.09 1.09 0.2 0.125 0.35467054 8e+06 1.570877e+04
## 2348 0.922868996 1.09 1.09 0.2 0.125 1.15861637 8e+06 1.594023e+04
## 2349 0.155265920 1.09 1.09 0.2 0.125 0.96831753 8e+06 3.795584e+03
## 2350 0.059642477 1.09 1.09 0.2 0.125 1.54414898 8e+06 3.427694e+03
## 2351 0.100014341 1.09 1.09 0.2 0.125 0.84346484 8e+06 1.405711e+04
## 2352 0.623443627 1.09 1.09 0.2 0.125 1.32018222 8e+06 2.122901e+04
## 2353 0.158300280 1.09 1.09 0.2 0.125 0.90851216 8e+06 5.030323e+03
## 2354 0.135937494 1.09 1.09 0.2 0.125 4.08348828 8e+06 1.035510e+04
## 2355 0.361291722 1.09 1.09 0.2 0.125 0.61577556 8e+06 1.415225e+04
## 2356 0.129733438 1.09 1.09 0.2 0.125 6.83816972 8e+06 2.405813e+04
## 2357 0.176132807 1.09 1.09 0.2 0.125 0.77997887 8e+06 1.721483e+04
## 2358 0.158556414 1.09 1.09 0.2 0.125 6.64856327 8e+06 3.132586e+04
## 2359 0.287548987 1.09 1.09 0.2 0.125 0.30671918 8e+06 1.993670e+04
## 2360 0.677888504 1.09 1.09 0.2 0.125 2.21301026 8e+06 4.266025e+04
## 2361 0.096386568 1.09 1.09 0.2 0.125 0.48068366 8e+06 1.329596e+04
## 2362 0.141354525 1.09 1.09 0.2 0.125 3.95810963 8e+06 2.578196e+04
## 2363 0.371143640 1.09 1.09 0.2 0.125 0.87018396 8e+06 1.861256e+04
## 2364 0.146809215 1.09 1.09 0.2 0.125 9.54124578 8e+06 3.321348e+04
## 2365 0.354982611 1.09 1.09 0.2 0.125 0.91970977 8e+06 3.757483e+03
## 2366 0.149561710 1.09 1.09 0.2 0.125 3.91479853 8e+06 7.673489e+03
## 2367 0.301031557 1.09 1.09 0.2 0.125 0.25689188 8e+06 8.247877e+03
## 2368 0.071549600 1.09 1.09 0.2 0.125 43.17929903 8e+06 9.665862e+03
## 2369 0.384936812 1.09 1.09 0.2 0.125 0.86151007 8e+06 6.369357e+02
## 2370 0.054049481 1.09 1.09 0.2 0.125 4.41747181 8e+06 7.283344e+02
## 2371 0.066978903 1.09 1.09 0.2 0.125 0.53878864 8e+06 1.412048e+04
## 2372 0.200706067 1.09 1.09 0.2 0.125 10.01288229 8e+06 1.819356e+04
## 2373 0.115216283 1.09 1.09 0.2 0.125 0.80349707 8e+06 1.945409e+04
## 2374 0.137929889 1.09 1.09 0.2 0.125 2.90037033 8e+06 2.827624e+04
## 2375 0.163391602 1.09 1.09 0.2 0.125 0.61854100 8e+06 2.051338e+03
## 2376 0.056002636 1.09 1.09 0.2 0.125 9.05938680 8e+06 2.287938e+03
## 2377 0.283864555 1.09 1.09 0.2 0.125 0.65059665 8e+06 3.152138e+03
## 2378 0.599488340 1.09 1.09 0.2 0.125 1.35554213 8e+06 3.577656e+03
## 2379 0.084423493 1.09 1.09 0.2 0.125 0.29338726 8e+06 6.375191e+03
## 2380 0.535833809 1.09 1.09 0.2 0.125 5.43653853 8e+06 9.037093e+03
## 2381 0.216113955 1.09 1.09 0.2 0.125 0.20492778 8e+06 6.453457e+03
## 2382 0.049389821 1.09 1.09 0.2 0.125 2.86938331 8e+06 7.582325e+03
## 2383 0.211954239 1.09 1.09 0.2 0.125 0.63796088 8e+06 1.985555e+04
## 2384 0.154926561 1.09 1.09 0.2 0.125 7.48484829 8e+06 3.860536e+04
## 2385 0.196328691 1.09 1.09 0.2 0.125 0.70726769 8e+06 7.135092e+03
## 2386 0.126417435 1.09 1.09 0.2 0.125 6.97011675 8e+06 1.136924e+04
## 2387 0.230774553 1.09 1.09 0.2 0.125 0.31543912 8e+06 7.770456e+03
## 2388 0.056391827 1.09 1.09 0.2 0.125 10.57907189 8e+06 1.025209e+04
## 2389 0.225295559 1.09 1.09 0.2 0.125 0.21058236 8e+06 2.684022e+01
## 2390 0.487762242 1.09 1.09 0.2 0.125 1.19957112 8e+06 2.704923e+01
## 2391 0.352269015 1.09 1.09 0.2 0.125 0.65777119 8e+06 1.951114e+04
## 2392 0.719509518 1.09 1.09 0.2 0.125 2.95566539 8e+06 2.972009e+04
## 2393 0.362485566 1.09 1.09 0.2 0.125 0.88964654 8e+06 4.251429e+03
## 2394 0.046663086 1.09 1.09 0.2 0.125 2.88466716 8e+06 4.774672e+03
## 2395 0.387575523 1.09 1.09 0.2 0.125 0.47311681 8e+06 1.026471e+04
## 2396 0.155118372 1.09 1.09 0.2 0.125 3.80010825 8e+06 1.671552e+04
## 2397 0.069535336 1.09 1.09 0.2 0.125 0.52087136 8e+06 3.739149e+03
## 2398 0.543730241 1.09 1.09 0.2 0.125 0.98101579 8e+06 4.736400e+03
## 2399 0.310253676 1.09 1.09 0.2 0.125 0.52336441 8e+06 1.524678e+04
## 2400 0.157896691 1.09 1.09 0.2 0.125 4.59241990 8e+06 2.076904e+04
## 2401 0.067324883 1.09 1.09 0.2 0.125 0.50523156 8e+06 2.715371e+03
## 2402 0.575308283 1.09 1.09 0.2 0.125 1.48099865 8e+06 4.140970e+03
## 2403 0.134750445 1.09 1.09 0.2 0.125 0.93009441 8e+06 1.738246e+04
## 2404 0.174130063 1.09 1.09 0.2 0.125 1.56897827 8e+06 1.570283e+04
## 2405 0.123492072 1.09 1.09 0.2 0.125 0.83636465 8e+06 6.523142e+02
## 2406 0.487153407 1.09 1.09 0.2 0.125 4.79954821 8e+06 6.645930e+02
## 2407 0.210686279 1.09 1.09 0.2 0.125 0.48461959 8e+06 5.777429e+03
## 2408 0.129450037 1.09 1.09 0.2 0.125 7.68315198 8e+06 1.003651e+04
## 2409 0.120307716 1.09 1.09 0.2 0.125 0.76885146 8e+06 1.148448e+04
## 2410 0.173009060 1.09 1.09 0.2 0.125 9.35442352 8e+06 1.726231e+04
## 2411 0.052893833 1.09 1.09 0.2 0.125 0.97576259 8e+06 1.865371e+04
## 2412 0.193233810 1.09 1.09 0.2 0.125 5.24255957 8e+06 2.553352e+04
## 2413 0.285054473 1.09 1.09 0.2 0.125 0.88744818 8e+06 1.495144e+04
## 2414 0.140370858 1.09 1.09 0.2 0.125 4.86912459 8e+06 2.107596e+04
## 2415 0.261811247 1.09 1.09 0.2 0.125 0.70602919 8e+06 6.572008e+02
## 2416 0.050752405 1.09 1.09 0.2 0.125 2.66674462 8e+06 7.149110e+02
## 2417 0.208786938 1.09 1.09 0.2 0.125 0.76527762 8e+06 9.741847e+03
## 2418 0.136641713 1.09 1.09 0.2 0.125 5.70687957 8e+06 2.164379e+04
## 2419 0.128298707 1.09 1.09 0.2 0.125 0.45902722 8e+06 4.942449e+03
## 2420 0.106301948 1.09 1.09 0.2 0.125 6.00309864 8e+06 6.934484e+03
## 2421 0.327071297 1.09 1.09 0.2 0.125 0.79201342 8e+06 1.858402e+04
## 2422 0.013391914 1.09 1.09 0.2 0.125 2.06510892 8e+06 3.469103e+04
## 2423 0.200774737 1.09 1.09 0.2 0.125 0.29534660 8e+06 1.483856e+03
## 2424 0.678120941 1.09 1.09 0.2 0.125 1.17649346 8e+06 2.356993e+03
## 2425 0.125676857 1.09 1.09 0.2 0.125 0.57312740 8e+06 6.768920e+03
## 2426 0.121761124 1.09 1.09 0.2 0.125 13.98330915 8e+06 9.846958e+03
## 2427 0.092056845 1.09 1.09 0.2 0.125 0.24742297 8e+06 1.483713e+04
## 2428 0.142657191 1.09 1.09 0.2 0.125 2.83226114 8e+06 2.557946e+04
## 2429 0.297187951 1.09 1.09 0.2 0.125 0.83411806 8e+06 1.328640e+04
## 2430 0.130947937 1.09 1.09 0.2 0.125 15.94836548 8e+06 2.339420e+04
## 2431 0.273753629 1.09 1.09 0.2 0.125 0.90953431 8e+06 5.249142e+03
## 2432 0.187589719 1.09 1.09 0.2 0.125 6.07802044 8e+06 9.071255e+03
## 2433 0.175083846 1.09 1.09 0.2 0.125 0.20029743 8e+06 4.619997e+03
## 2434 0.054251658 1.09 1.09 0.2 0.125 10.21125673 8e+06 6.614081e+03
## 2435 0.111647218 1.09 1.09 0.2 0.125 0.45888453 8e+06 1.641045e+04
## 2436 0.129074153 1.09 1.09 0.2 0.125 25.27665572 8e+06 3.728240e+04
## 2437 0.190563645 1.09 1.09 0.2 0.125 0.98264024 8e+06 1.383069e+04
## 2438 0.627453412 1.09 1.09 0.2 0.125 5.47946597 8e+06 2.984968e+04
## 2439 0.243607115 1.09 1.09 0.2 0.125 0.76924624 8e+06 2.189254e+03
## 2440 0.135489994 1.09 1.09 0.2 0.125 5.72144561 8e+06 4.774091e+03
## 2441 0.385765467 1.09 1.09 0.2 0.125 0.85945468 8e+06 1.349635e+04
## 2442 0.038633233 1.09 1.09 0.2 0.125 9.15068389 8e+06 3.089820e+04
## 2443 0.293396449 1.09 1.09 0.2 0.125 0.26891859 8e+06 1.355258e+04
## 2444 0.129161966 1.09 1.09 0.2 0.125 7.00236429 8e+06 2.461305e+04
## 2445 0.124602525 1.09 1.09 0.2 0.125 0.21106475 8e+06 1.089294e+04
## 2446 0.106251219 1.09 1.09 0.2 0.125 5.58720226 8e+06 1.560863e+04
## 2447 0.198446142 1.09 1.09 0.2 0.125 0.90205825 8e+06 1.977149e+03
## 2448 0.118964663 1.09 1.09 0.2 0.125 25.86307068 8e+06 4.155277e+03
## 2449 0.229650646 1.09 1.09 0.2 0.125 0.81253891 8e+06 3.527883e+03
## 2450 0.110206976 1.09 1.09 0.2 0.125 7.27100401 8e+06 4.541823e+03
## 2451 0.138488785 1.09 1.09 0.2 0.125 0.52227582 8e+06 2.930266e+03
## 2452 0.046710215 1.09 1.09 0.2 0.125 10.07910441 8e+06 2.981944e+03
## 2453 0.287559027 1.09 1.09 0.2 0.125 0.76292543 8e+06 1.986760e+04
## 2454 0.521739110 1.09 1.09 0.2 0.125 6.39387716 8e+06 3.954578e+04
## 2455 0.198974530 1.09 1.09 0.2 0.125 0.65469295 8e+06 1.362688e+04
## 2456 0.176347588 1.09 1.09 0.2 0.125 16.65230225 8e+06 2.054424e+04
## 2457 0.073309287 1.09 1.09 0.2 0.125 0.98252076 8e+06 7.526728e+03
## 2458 0.152862953 1.09 1.09 0.2 0.125 4.52990254 8e+06 1.320040e+04
## 2459 0.180776695 1.09 1.09 0.2 0.125 0.94125168 8e+06 3.911302e+03
## 2460 0.109314728 1.09 1.09 0.2 0.125 8.85880717 8e+06 5.761620e+03
## 2461 0.345774349 1.09 1.09 0.2 0.125 0.21488950 8e+06 1.869169e+04
## 2462 0.203076797 1.09 1.09 0.2 0.125 6.96609106 8e+06 1.916834e+04
## 2463 0.216596314 1.09 1.09 0.2 0.125 0.62716601 8e+06 1.287145e+04
## 2464 0.131183397 1.09 1.09 0.2 0.125 27.51944575 8e+06 2.551618e+04
## 2465 0.139711692 1.09 1.09 0.2 0.125 0.83652450 8e+06 1.176279e+04
## 2466 0.179955587 1.09 1.09 0.2 0.125 7.86885145 8e+06 1.257821e+04
## 2467 0.100822855 1.09 1.09 0.2 0.125 0.37405810 8e+06 1.389963e+04
## 2468 0.189760670 1.09 1.09 0.2 0.125 3.47468407 8e+06 1.305727e+04
## 2469 0.064293509 1.09 1.09 0.2 0.125 0.64103078 8e+06 1.462805e+04
## 2470 0.700307201 1.09 1.09 0.2 0.125 5.90427074 8e+06 2.648104e+04
## 2471 0.389077395 1.09 1.09 0.2 0.125 0.46490190 8e+06 5.325345e+03
## 2472 0.119250846 1.09 1.09 0.2 0.125 5.39664550 8e+06 8.539898e+03
## 2473 0.248006901 1.09 1.09 0.2 0.125 0.44848420 8e+06 1.310774e+04
## 2474 0.185848404 1.09 1.09 0.2 0.125 5.55906141 8e+06 1.527179e+04
## 2475 0.381662183 1.09 1.09 0.2 0.125 0.53875861 8e+06 3.900420e+03
## 2476 0.039359321 1.09 1.09 0.2 0.125 3.11693538 8e+06 4.351955e+03
## 2477 0.162123996 1.09 1.09 0.2 0.125 0.99864558 8e+06 1.268260e+04
## 2478 0.128627969 1.09 1.09 0.2 0.125 4.94553438 8e+06 1.947542e+04
## 2479 0.393514892 1.09 1.09 0.2 0.125 0.44129391 8e+06 2.690930e+03
## 2480 0.045415657 1.09 1.09 0.2 0.125 2.43816019 8e+06 4.099733e+03
## 2481 0.221351020 1.09 1.09 0.2 0.125 0.20381824 8e+06 1.106283e+04
## 2482 0.139218981 1.09 1.09 0.2 0.125 8.37190329 8e+06 2.091789e+04
## 2483 0.283010627 1.09 1.09 0.2 0.125 0.81249428 8e+06 1.780099e+04
## 2484 0.145733853 1.09 1.09 0.2 0.125 4.89977262 8e+06 2.188980e+04
## 2485 0.279853756 1.09 1.09 0.2 0.125 0.83213613 8e+06 1.658200e+04
## 2486 0.144166999 1.09 1.09 0.2 0.125 4.74976215 8e+06 3.806616e+04
## 2487 0.381213734 1.09 1.09 0.2 0.125 0.54128123 8e+06 1.453464e+04
## 2488 0.182173848 1.09 1.09 0.2 0.125 8.50499996 8e+06 2.078325e+04
## 2489 0.058595591 1.09 1.09 0.2 0.125 0.30813440 8e+06 1.048201e+04
## 2490 0.624411647 1.09 1.09 0.2 0.125 2.92750806 8e+06 1.906342e+04
## 2491 0.313355457 1.09 1.09 0.2 0.125 0.99045208 8e+06 1.287227e+04
## 2492 0.422094049 1.09 1.09 0.2 0.125 21.09886231 8e+06 1.711257e+04
## 2493 0.057901402 1.09 1.09 0.2 0.125 0.36649774 8e+06 1.354723e+04
## 2494 0.135211579 1.09 1.09 0.2 0.125 11.77966734 8e+06 1.974180e+04
## 2495 0.092559677 1.09 1.09 0.2 0.125 0.69136671 8e+06 8.510686e+03
## 2496 0.124586054 1.09 1.09 0.2 0.125 6.53593012 8e+06 1.490732e+04
## 2497 0.358747332 1.09 1.09 0.2 0.125 0.52567597 8e+06 9.100792e+03
## 2498 0.165773864 1.09 1.09 0.2 0.125 5.10367233 8e+06 1.355243e+04
## 2499 0.271778444 1.09 1.09 0.2 0.125 0.63886248 8e+06 1.896557e+04
## 2500 0.194928156 1.09 1.09 0.2 0.125 18.35505398 8e+06 3.260387e+04
## 2501 0.225586070 1.09 1.09 0.2 0.125 0.40349162 8e+06 1.250592e+04
## 2502 0.137766986 1.09 1.09 0.2 0.125 16.90235254 8e+06 2.047286e+04
## 2503 0.319223651 1.09 1.09 0.2 0.125 0.45680538 8e+06 2.023076e+02
## 2504 0.101762925 1.09 1.09 0.2 0.125 9.63089797 8e+06 2.248952e+02
## 2505 0.123607586 1.09 1.09 0.2 0.125 0.92776540 8e+06 7.380142e+03
## 2506 0.153486540 1.09 1.09 0.2 0.125 8.51698259 8e+06 1.045816e+04
## 2507 0.316143882 1.09 1.09 0.2 0.125 0.92287122 8e+06 2.434594e+03
## 2508 0.096662110 1.09 1.09 0.2 0.125 3.70017024 8e+06 3.840940e+03
## 2509 0.174772166 1.09 1.09 0.2 0.125 0.81261589 8e+06 2.813472e+03
## 2510 0.100545499 1.09 1.09 0.2 0.125 4.77619092 8e+06 3.721633e+03
## 2511 0.399391168 1.09 1.09 0.2 0.125 0.29561911 8e+06 1.035854e+04
## 2512 0.199540649 1.09 1.09 0.2 0.125 9.03287484 8e+06 1.248112e+04
## 2513 0.301562713 1.09 1.09 0.2 0.125 0.75377004 8e+06 6.927007e+02
## 2514 0.043035987 1.09 1.09 0.2 0.125 8.98362290 8e+06 7.459096e+02
## 2515 0.137088126 1.09 1.09 0.2 0.125 0.31619264 8e+06 1.555720e+04
## 2516 0.162054814 1.09 1.09 0.2 0.125 2.37667687 8e+06 3.093818e+04
## 2517 0.218944209 1.09 1.09 0.2 0.125 0.38654755 8e+06 1.411951e+04
## 2518 0.148958485 1.09 1.09 0.2 0.125 4.05519735 8e+06 2.108617e+04
## 2519 0.298518974 1.09 1.09 0.2 0.125 0.28850118 8e+06 1.206056e+04
## 2520 0.171102105 1.09 1.09 0.2 0.125 7.75746130 8e+06 1.613573e+04
## 2521 0.090368319 1.09 1.09 0.2 0.125 0.75786626 8e+06 8.886437e+03
## 2522 0.559760591 1.09 1.09 0.2 0.125 1.28396036 8e+06 1.038930e+04
## 2523 0.229915078 1.09 1.09 0.2 0.125 0.26297821 8e+06 1.883342e+04
## 2524 0.205512202 1.09 1.09 0.2 0.125 7.69344020 8e+06 1.654437e+04
## 2525 0.131056004 1.09 1.09 0.2 0.125 0.46334122 8e+06 1.508925e+04
## 2526 0.211434576 1.09 1.09 0.2 0.125 6.20030119 8e+06 1.110448e+04
## 2527 0.142259548 1.09 1.09 0.2 0.125 0.90948917 8e+06 1.571429e+04
## 2528 0.144855553 1.09 1.09 0.2 0.125 0.98871284 8e+06 1.427948e+04
## 2529 0.212366806 1.09 1.09 0.2 0.125 0.89338751 8e+06 1.965689e+04
## 2530 0.153158628 1.09 1.09 0.2 0.125 4.40759767 8e+06 3.107469e+04
## 2531 0.282212500 1.09 1.09 0.2 0.125 0.84912819 8e+06 7.087371e+03
## 2532 0.097184803 1.09 1.09 0.2 0.125 3.13256609 8e+06 1.181216e+04
## 2533 0.334094644 1.09 1.09 0.2 0.125 0.48295142 8e+06 3.784985e+03
## 2534 0.527745212 1.09 1.09 0.2 0.125 1.20493616 8e+06 4.990759e+03
## 2535 0.098281292 1.09 1.09 0.2 0.125 0.39910792 8e+06 7.379120e+03
## 2536 0.109895144 1.09 1.09 0.2 0.125 4.98915657 8e+06 1.150449e+04
## 2537 0.103691651 1.09 1.09 0.2 0.125 0.64339260 8e+06 1.756371e+04
## 2538 0.150402377 1.09 1.09 0.2 0.125 3.34180848 8e+06 3.539724e+04
## 2539 0.218382129 1.09 1.09 0.2 0.125 0.94606945 8e+06 1.365352e+04
## 2540 0.194704179 1.09 1.09 0.2 0.125 6.59020618 8e+06 2.098097e+04
## 2541 0.307193614 1.09 1.09 0.2 0.125 0.97706507 8e+06 7.624559e+03
## 2542 0.144201905 1.09 1.09 0.2 0.125 7.16037493 8e+06 1.685876e+04
## 2543 0.247137111 1.09 1.09 0.2 0.125 0.48387723 8e+06 1.901284e+04
## 2544 0.183996382 1.09 1.09 0.2 0.125 5.46501422 8e+06 2.864675e+04
## 2545 0.238614880 1.09 1.09 0.2 0.125 0.63404287 8e+06 1.138455e+04
## 2546 0.525336492 1.09 1.09 0.2 0.125 1.33165386 8e+06 1.638032e+04
## 2547 0.302011184 1.09 1.09 0.2 0.125 0.45507912 8e+06 9.967374e+03
## 2548 0.121620513 1.09 1.09 0.2 0.125 2.91837042 8e+06 1.430218e+04
## 2549 0.314329164 1.09 1.09 0.2 0.125 0.35211621 8e+06 2.416455e+03
## 2550 0.511658570 1.09 1.09 0.2 0.125 2.57396052 8e+06 2.332734e+03
## 2551 0.171904855 1.09 1.09 0.2 0.125 0.26673309 8e+06 1.017557e+04
## 2552 0.152579163 1.09 1.09 0.2 0.125 6.89843544 8e+06 1.137914e+04
## 2553 0.341099362 1.09 1.09 0.2 0.125 0.70815799 8e+06 1.589165e+03
## 2554 0.186942636 1.09 1.09 0.2 0.125 5.63691975 8e+06 4.251063e+03
## 2555 0.244795262 1.09 1.09 0.2 0.125 0.72889418 8e+06 4.124467e+02
## 2556 0.522683114 1.09 1.09 0.2 0.125 1.63455849 8e+06 3.965483e+02
## 2557 0.207266728 1.09 1.09 0.2 0.125 0.32979643 8e+06 5.145752e+01
## 2558 0.489017766 1.09 1.09 0.2 0.125 1.10928314 8e+06 5.130905e+01
## 2559 0.295905309 1.09 1.09 0.2 0.125 0.58336270 8e+06 1.330474e+02
## 2560 0.121938087 1.09 1.09 0.2 0.125 7.62715672 8e+06 1.720129e+02
## 2561 0.202599144 1.09 1.09 0.2 0.125 0.24620936 8e+06 1.083959e+04
## 2562 0.571872734 1.09 1.09 0.2 0.125 1.80965497 8e+06 1.594275e+04
## 2563 0.138395209 1.09 1.09 0.2 0.125 0.31434782 8e+06 1.961457e+04
## 2564 0.165907145 1.09 1.09 0.2 0.125 7.88994554 8e+06 3.285161e+04
## 2565 0.398154546 1.09 1.09 0.2 0.125 0.61109387 8e+06 4.798671e+03
## 2566 0.164847699 1.09 1.09 0.2 0.125 8.48305649 8e+06 7.833654e+03
## 2567 0.373935201 1.09 1.09 0.2 0.125 0.30231723 8e+06 6.584019e+03
## 2568 0.157678366 1.09 1.09 0.2 0.125 3.37958887 8e+06 1.195326e+04
## 2569 0.198510568 1.09 1.09 0.2 0.125 0.66187618 8e+06 1.624795e+04
## 2570 0.194627467 1.09 1.09 0.2 0.125 4.04640497 8e+06 1.910120e+04
## 2571 0.340567103 1.09 1.09 0.2 0.125 0.58731374 8e+06 9.798359e+03
## 2572 0.124973041 1.09 1.09 0.2 0.125 3.89398768 8e+06 1.514979e+04
## 2573 0.115247499 1.09 1.09 0.2 0.125 0.35674427 8e+06 1.917829e+04
## 2574 0.134464427 1.09 1.09 0.2 0.125 5.31233663 8e+06 2.787921e+04
## 2575 0.203470560 1.09 1.09 0.2 0.125 0.70888208 8e+06 8.612040e+03
## 2576 0.141725233 1.09 1.09 0.2 0.125 3.22487699 8e+06 2.127165e+04
## 2577 0.107361377 1.09 1.09 0.2 0.125 0.77048099 8e+06 7.194584e+03
## 2578 0.739827799 1.09 1.09 0.2 0.125 1.04992129 8e+06 6.786330e+03
## 2579 0.096570847 1.09 1.09 0.2 0.125 0.30227026 8e+06 1.614516e+04
## 2580 0.149851182 1.09 1.09 0.2 0.125 6.77866669 8e+06 1.702656e+04
## 2581 0.347106571 1.09 1.09 0.2 0.125 0.73822523 8e+06 9.764379e+03
## 2582 0.128484040 1.09 1.09 0.2 0.125 5.48293929 8e+06 1.600422e+04
## 2583 0.342717355 1.09 1.09 0.2 0.125 0.95178686 8e+06 7.618032e+03
## 2584 0.539409572 1.09 1.09 0.2 0.125 11.62674607 8e+06 9.083787e+03
## 2585 0.224831009 1.09 1.09 0.2 0.125 0.66662208 8e+06 1.840165e+04
## 2586 0.193235060 1.09 1.09 0.2 0.125 5.64994808 8e+06 2.728606e+04
## 2587 0.110723957 1.09 1.09 0.2 0.125 0.69582571 8e+06 1.142798e+02
## 2588 0.100709748 1.09 1.09 0.2 0.125 3.55538210 8e+06 1.007544e+02
## 2589 0.086674433 1.09 1.09 0.2 0.125 0.86809851 8e+06 5.434672e+03
## 2590 0.150586930 1.09 1.09 0.2 0.125 5.22285445 8e+06 1.046884e+04
## 2591 0.237955839 1.09 1.09 0.2 0.125 0.35617068 8e+06 3.588677e+03
## 2592 0.114536795 1.09 1.09 0.2 0.125 8.21616722 8e+06 5.916568e+03
## 2593 0.254255506 1.09 1.09 0.2 0.125 0.27888666 8e+06 1.625944e+04
## 2594 0.160761038 1.09 1.09 0.2 0.125 3.83214099 8e+06 2.703222e+04
## 2595 0.394628795 1.09 1.09 0.2 0.125 0.90414859 8e+06 9.351562e+03
## 2596 0.332525835 1.09 1.09 0.2 0.125 5.00874930 8e+06 1.014608e+04
## 2597 0.235696457 1.09 1.09 0.2 0.125 0.97749982 8e+06 1.104576e+04
## 2598 0.130908788 1.09 1.09 0.2 0.125 8.10579344 8e+06 1.942861e+04
## 2599 0.151962740 1.09 1.09 0.2 0.125 0.70248126 8e+06 1.323168e+04
## 2600 0.659424527 1.09 1.09 0.2 0.125 2.88857444 8e+06 3.677135e+04
## 2601 0.086383360 1.09 1.09 0.2 0.125 0.45749876 8e+06 1.879639e+04
## 2602 0.619716686 1.09 1.09 0.2 0.125 2.63103147 8e+06 3.520650e+04
## 2603 0.133077580 1.09 1.09 0.2 0.125 0.64532457 8e+06 1.587086e+04
## 2604 0.229993019 1.09 1.09 0.2 0.125 3.78669652 8e+06 1.141163e+04
## 2605 0.077572689 1.09 1.09 0.2 0.125 0.21502099 8e+06 1.424935e+04
## 2606 0.149986567 1.09 1.09 0.2 0.125 1.68363903 8e+06 1.764556e+04
## 2607 0.308633593 1.09 1.09 0.2 0.125 0.62991924 8e+06 1.370266e+04
## 2608 0.172979567 1.09 1.09 0.2 0.125 7.90175353 8e+06 2.442003e+04
## 2609 0.190038835 1.09 1.09 0.2 0.125 0.62314545 8e+06 1.125997e+03
## 2610 0.069212907 1.09 1.09 0.2 0.125 4.44522179 8e+06 1.401347e+03
## 2611 0.397090684 1.09 1.09 0.2 0.125 0.54707327 8e+06 1.277655e+04
## 2612 0.186906510 1.09 1.09 0.2 0.125 14.09516860 8e+06 2.141172e+04
## 2613 0.399147096 1.09 1.09 0.2 0.125 0.96715131 8e+06 1.161277e+04
## 2614 0.553929269 1.09 1.09 0.2 0.125 1.04080541 8e+06 1.683638e+04
## 2615 0.232490954 1.09 1.09 0.2 0.125 0.57799796 8e+06 1.779061e+03
## 2616 0.498658513 1.09 1.09 0.2 0.125 2.09604194 8e+06 2.792048e+03
## 2617 0.261305933 1.09 1.09 0.2 0.125 0.82643337 8e+06 9.244183e+03
## 2618 0.165793560 1.09 1.09 0.2 0.125 4.91255282 8e+06 1.895612e+04
## 2619 0.379855836 1.09 1.09 0.2 0.125 0.91829105 8e+06 1.062694e+04
## 2620 0.130467319 1.09 1.09 0.2 0.125 9.49119632 8e+06 1.613148e+04
## 2621 0.284888700 1.09 1.09 0.2 0.125 0.99975531 8e+06 1.865570e+04
## 2622 0.200482680 1.09 1.09 0.2 0.125 13.73474572 8e+06 1.822528e+04
## 2623 0.179954163 1.09 1.09 0.2 0.125 0.20707175 8e+06 7.568309e+03
## 2624 0.146874740 1.09 1.09 0.2 0.125 6.24130111 8e+06 1.246360e+04
## 2625 0.156233062 1.09 1.09 0.2 0.125 0.94499365 8e+06 1.507396e+04
## 2626 0.168488309 1.09 1.09 0.2 0.125 5.38983893 8e+06 2.489576e+04
## 2627 0.082754070 1.09 1.09 0.2 0.125 0.42709417 8e+06 9.811580e+03
## 2628 0.600476059 1.09 1.09 0.2 0.125 1.04749015 8e+06 1.982378e+04
## 2629 0.128583794 1.09 1.09 0.2 0.125 0.86260092 8e+06 1.481677e+04
## 2630 0.169492356 1.09 1.09 0.2 0.125 3.44156704 8e+06 2.318914e+04
## 2631 0.155720538 1.09 1.09 0.2 0.125 0.65819415 8e+06 9.342374e+03
## 2632 0.596366874 1.09 1.09 0.2 0.125 1.18947552 8e+06 2.069808e+04
## 2633 0.323156874 1.09 1.09 0.2 0.125 0.31528822 8e+06 1.844717e+04
## 2634 0.203522207 1.09 1.09 0.2 0.125 6.28719703 8e+06 1.316603e+04
## 2635 0.186303554 1.09 1.09 0.2 0.125 0.48131151 8e+06 2.130717e+03
## 2636 0.058940260 1.09 1.09 0.2 0.125 5.36954691 8e+06 2.578274e+03
## 2637 0.223406913 1.09 1.09 0.2 0.125 0.48477068 8e+06 4.516506e+03
## 2638 0.053786385 1.09 1.09 0.2 0.125 11.56863398 8e+06 3.899363e+03
## 2639 0.360367909 1.09 1.09 0.2 0.125 0.23967366 8e+06 1.566696e+04
## 2640 0.140451386 1.09 1.09 0.2 0.125 7.05625863 8e+06 2.524398e+04
## 2641 0.059878414 1.09 1.09 0.2 0.125 0.87507127 8e+06 9.119328e+03
## 2642 0.527811140 1.09 1.09 0.2 0.125 2.07441083 8e+06 1.158028e+04
## 2643 0.157619140 1.09 1.09 0.2 0.125 0.46384727 8e+06 1.116405e+04
## 2644 0.134699950 1.09 1.09 0.2 0.125 3.08669671 8e+06 2.208237e+04
## 2645 0.255518148 1.09 1.09 0.2 0.125 0.32287876 8e+06 3.923796e+03
## 2646 0.597680309 1.09 1.09 0.2 0.125 1.00202908 8e+06 6.169175e+03
## 2647 0.169793588 1.09 1.09 0.2 0.125 0.72923716 8e+06 1.241149e+04
## 2648 0.186817758 1.09 1.09 0.2 0.125 4.10935901 8e+06 2.539124e+04
## 2649 0.125000443 1.09 1.09 0.2 0.125 0.91325145 8e+06 8.198249e+03
## 2650 0.137852401 1.09 1.09 0.2 0.125 4.84590004 8e+06 1.181381e+04
## 2651 0.163033872 1.09 1.09 0.2 0.125 0.56815957 8e+06 1.614561e+03
## 2652 0.107238011 1.09 1.09 0.2 0.125 11.63794955 8e+06 2.104040e+03
## 2653 0.230571945 1.09 1.09 0.2 0.125 0.53415073 8e+06 1.030835e+03
## 2654 0.114749271 1.09 1.09 0.2 0.125 3.92666310 8e+06 1.641405e+03
## 2655 0.338846172 1.09 1.09 0.2 0.125 0.63857892 8e+06 3.702201e+03
## 2656 0.945136890 1.09 1.09 0.2 0.125 2.54752130 8e+06 3.832629e+03
## 2657 0.330972256 1.09 1.09 0.2 0.125 0.31956950 8e+06 8.161643e+03
## 2658 0.102621391 1.09 1.09 0.2 0.125 8.31819877 8e+06 9.727281e+03
## 2659 0.144770591 1.09 1.09 0.2 0.125 0.58064455 8e+06 2.311859e+03
## 2660 0.044953179 1.09 1.09 0.2 0.125 6.86510834 8e+06 3.206448e+03
## 2661 0.082672471 1.09 1.09 0.2 0.125 0.65360135 8e+06 1.808384e+04
## 2662 0.045056457 1.09 1.09 0.2 0.125 6.39805498 8e+06 2.404072e+04
## 2663 0.292090337 1.09 1.09 0.2 0.125 0.76791400 8e+06 1.718015e+04
## 2664 0.145517216 1.09 1.09 0.2 0.125 6.61294563 8e+06 3.074201e+04
## 2665 0.137327983 1.09 1.09 0.2 0.125 0.25911980 8e+06 2.646068e+03
## 2666 0.448015020 1.09 1.09 0.2 0.125 10.56085257 8e+06 2.816137e+03
## 2667 0.063801349 1.09 1.09 0.2 0.125 0.28157955 8e+06 1.596826e+04
## 2668 0.147932404 1.09 1.09 0.2 0.125 4.30820102 8e+06 2.000067e+04
## 2669 0.219555174 1.09 1.09 0.2 0.125 0.51016355 8e+06 1.628947e+04
## 2670 0.127543337 1.09 1.09 0.2 0.125 4.18596843 8e+06 2.999582e+04
## 2671 0.330632841 1.09 1.09 0.2 0.125 0.54559217 8e+06 1.544073e+04
## 2672 0.569735889 1.09 1.09 0.2 0.125 1.82732262 8e+06 2.390683e+04
## 2673 0.241365010 1.09 1.09 0.2 0.125 0.97805182 8e+06 4.139251e+02
## 2674 0.505076630 1.09 1.09 0.2 0.125 5.63625714 8e+06 3.665887e+02
## 2675 0.179128342 1.09 1.09 0.2 0.125 0.94084158 8e+06 1.017307e+04
## 2676 0.131416359 1.09 1.09 0.2 0.125 13.86997453 8e+06 1.545745e+04
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## 2590 2.887346e+03 0 17 22
## 2591 1.022294e+04 0 17 22
## 2592 5.609942e+03 0 17 22
## 2593 6.187026e+03 0 17 22
## 2594 5.451534e+03 0 17 22
## 2595 1.800317e+02 0 17 22
## 2596 3.658869e+02 0 17 22
## 2597 1.114504e+04 0 17 22
## 2598 6.992669e+03 0 17 22
## 2599 5.684629e+03 0 17 22
## 2600 4.537631e+03 0 17 22
## 2601 1.208082e+04 0 17 22
## 2602 6.809322e+03 0 17 22
## 2603 7.990693e+02 0 17 22
## 2604 1.155040e+03 0 17 22
## 2605 3.693111e+02 0 17 22
## 2606 4.502985e+02 0 17 22
## 2607 8.612466e+03 0 17 22
## 2608 5.075108e+03 0 17 22
## 2609 7.398108e+03 0 17 22
## 2610 1.825004e+04 0 17 22
## 2611 4.233541e+03 0 17 22
## 2612 3.490915e+03 0 17 22
## 2613 1.865567e+04 0 17 22
## 2614 1.385171e+04 0 17 22
## 2615 1.598260e+04 0 17 22
## 2616 1.689641e+04 0 17 22
## 2617 7.073806e+03 0 17 22
## 2618 4.419171e+03 0 17 22
## 2619 7.448828e+03 0 17 22
## 2620 5.040498e+03 0 17 22
## 2621 2.928870e+03 0 17 22
## 2622 2.517567e+03 0 17 22
## 2623 6.024292e+03 0 17 22
## 2624 4.064664e+03 0 17 22
## 2625 9.015973e+03 0 17 22
## 2626 4.753228e+03 0 17 22
## 2627 9.377021e+03 0 17 22
## 2628 9.277846e+03 0 17 22
## 2629 8.868340e+03 0 17 22
## 2630 5.125122e+03 0 17 22
## 2631 1.020514e+04 0 17 22
## 2632 6.908247e+03 0 17 22
## 2633 1.208907e+03 0 17 22
## 2634 1.542717e+03 0 17 22
## 2635 1.916446e+04 0 17 22
## 2636 1.103165e+04 0 17 22
## 2637 1.489953e+04 0 17 22
## 2638 1.199984e+04 0 17 22
## 2639 1.821315e+04 0 17 22
## 2640 9.307794e+03 0 17 22
## 2641 1.969205e+04 0 17 22
## 2642 1.529485e+04 0 17 22
## 2643 1.362603e+04 0 17 22
## 2644 1.025011e+04 0 17 22
## 2645 4.364993e+03 0 17 22
## 2646 3.220528e+03 0 17 22
## 2647 5.423502e+03 0 17 22
## 2648 4.357707e+03 0 17 22
## 2649 6.773513e+03 0 17 22
## 2650 4.113156e+03 0 17 22
## 2651 1.404268e+04 0 17 22
## 2652 9.054863e+03 0 17 22
## 2653 5.803790e+03 0 17 22
## 2654 4.750618e+03 0 17 22
## 2655 1.522810e+02 0 17 22
## 2656 3.047550e+02 0 17 22
## 2657 1.461348e+04 0 17 22
## 2658 8.849413e+03 0 17 22
## 2659 1.588406e+04 0 17 22
## 2660 1.274700e+04 0 17 22
## 2661 1.620469e+04 0 17 22
## 2662 2.044933e+04 0 17 22
## 2663 1.994806e+04 0 17 22
## 2664 9.396860e+03 0 17 22
## 2665 1.137196e+04 0 17 22
## 2666 8.948763e+03 0 17 22
## 2667 5.330538e+03 0 17 22
## 2668 5.133254e+03 0 17 22
## 2669 1.752013e+04 0 17 22
## 2670 1.005671e+04 0 17 22
## 2671 1.406187e+04 0 17 22
## 2672 1.240457e+04 0 17 22
## 2673 1.817117e+04 0 17 22
## 2674 2.057919e+04 0 17 22
## 2675 8.334769e+03 0 17 22
## 2676 5.295726e+03 0 17 22
## 2677 9.761445e+03 0 17 22
## 2678 5.912685e+03 0 17 22
## 2679 1.903854e+04 0 17 22
## 2680 1.815445e+04 0 17 22
## 2681 1.962577e+04 0 17 22
## 2682 1.302828e+04 0 17 22
## 2683 9.361385e+03 0 17 22
## 2684 6.350194e+03 0 17 22
## 2685 1.704630e+04 0 17 22
## 2686 1.084030e+04 0 17 22
## 2687 1.178977e+04 0 17 22
## 2688 7.464651e+03 0 17 22
## 2689 1.102875e+04 0 17 22
## 2690 6.514625e+03 0 17 22
## 2691 1.008699e+04 0 17 22
## 2692 1.343870e+04 0 17 22
## 2693 1.512354e+04 0 17 22
## 2694 1.660196e+04 0 17 22
## 2695 5.881520e+03 0 17 22
## 2696 3.715814e+03 0 17 22
## 2697 9.765909e+03 0 17 22
## 2698 5.302503e+03 0 17 22
## 2699 1.856550e+03 0 17 22
## 2700 1.241950e+03 0 17 22
## 2701 1.731385e+04 0 17 22
## 2702 3.527632e+04 0 17 22
## PCR_sens sigma_M beta_w_3 beta_w_2 beta_w_1 beta_w_0 g_0
## 1 0.9 1.171019e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2 0.9 2.804925e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 3 0.9 2.879780e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 4 0.9 2.794379e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 5 0.9 2.859026e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 6 0.9 3.097214e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 7 0.9 4.793217e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 8 0.9 2.777943e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 9 0.9 8.980684e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 10 0.9 2.815437e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 11 0.9 4.210834e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 12 0.9 2.807992e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 13 0.9 3.268753e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 14 0.9 2.976070e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 15 0.9 4.749347e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 16 0.9 2.765503e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 17 0.9 1.441714e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 18 0.9 2.807407e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 19 0.9 7.028008e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 20 0.9 3.464309e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 21 0.9 2.593950e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 22 0.9 3.164216e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 23 0.9 3.372294e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 24 0.9 2.795668e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 25 0.9 2.689190e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 26 0.9 2.766902e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 27 0.9 2.075264e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 28 0.9 2.795231e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 29 0.9 3.863728e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 30 0.9 2.890920e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 31 0.9 8.962496e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 32 0.9 2.908726e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 33 0.9 3.184253e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 34 0.9 2.902849e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 35 0.9 2.655770e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 36 0.9 2.777793e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 37 0.9 2.232198e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 38 0.9 2.804078e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 39 0.9 8.522997e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 40 0.9 2.826558e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 41 0.9 2.451135e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 42 0.9 2.826141e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 43 0.9 3.341577e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 44 0.9 2.898988e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 45 0.9 2.672796e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 46 0.9 4.909826e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 47 0.9 1.286849e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 48 0.9 2.945860e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 49 0.9 2.519513e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 50 0.9 2.750306e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 51 0.9 7.365997e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 52 0.9 5.892751e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 53 0.9 4.976806e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 54 0.9 2.807333e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 55 0.9 3.004222e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 56 0.9 3.088841e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 57 0.9 2.409503e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 58 0.9 2.774766e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 59 0.9 1.855653e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 60 0.9 3.182306e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 61 0.9 4.449019e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 62 0.9 2.871210e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 63 0.9 3.867342e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 64 0.9 2.804863e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 65 0.9 2.838524e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 66 0.9 2.897805e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 67 0.9 1.205736e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 68 0.9 2.779397e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 69 0.9 4.221851e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 70 0.9 4.412188e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 71 0.9 4.685246e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 72 0.9 2.783576e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 73 0.9 9.743482e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 74 0.9 2.752983e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 75 0.9 2.369070e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 76 0.9 2.791054e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 77 0.9 2.211030e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 78 0.9 2.798015e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 79 0.9 3.623801e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 80 0.9 2.802696e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 81 0.9 4.515876e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 82 0.9 2.808149e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 83 0.9 3.115069e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 84 0.9 3.446791e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 85 0.9 3.430491e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 86 0.9 2.807120e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 87 0.9 3.576991e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 88 0.9 3.056227e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 89 0.9 3.088872e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 90 0.9 2.802550e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 91 0.9 9.017415e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 92 0.9 2.787418e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 93 0.9 2.390982e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 94 0.9 2.799075e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 95 0.9 2.844931e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 96 0.9 2.825158e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 97 0.9 7.130122e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 98 0.9 3.375139e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 99 0.9 4.017082e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 100 0.9 2.876167e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 101 0.9 1.278572e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 102 0.9 3.220760e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 103 0.9 3.496646e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 104 0.9 2.840095e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 105 0.9 3.802403e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 106 0.9 2.826527e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 107 0.9 1.023824e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 108 0.9 3.245048e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 109 0.9 2.685086e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 110 0.9 2.835146e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 111 0.9 3.863851e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 112 0.9 2.874433e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 113 0.9 7.818465e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 114 0.9 2.764195e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 115 0.9 3.861134e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 116 0.9 2.813590e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 117 0.9 2.278765e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 118 0.9 2.825326e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 119 0.9 3.355630e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 120 0.9 2.818550e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 121 0.9 3.666082e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 122 0.9 2.914945e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 123 0.9 7.442970e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 124 0.9 2.927767e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 125 0.9 2.595394e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 126 0.9 3.155230e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 127 0.9 1.202110e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 128 0.9 2.822901e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 129 0.9 8.495112e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 130 0.9 2.811671e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 131 0.9 2.488977e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 132 0.9 3.155981e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 133 0.9 1.408170e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 134 0.9 2.806238e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 135 0.9 2.322582e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 136 0.9 2.910251e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 137 0.9 4.097327e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 138 0.9 2.942891e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 139 0.9 6.738073e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 140 0.9 3.340001e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 141 0.9 5.256594e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 142 0.9 2.785168e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 143 0.9 1.572632e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 144 0.9 3.039021e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 145 0.9 2.969879e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 146 0.9 2.881473e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 147 0.9 6.548168e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 148 0.9 2.843807e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 149 0.9 4.529359e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 150 0.9 3.191914e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 151 0.9 3.856046e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 152 0.9 2.832106e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 153 0.9 4.585948e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 154 0.9 2.771534e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 155 0.9 9.311217e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 156 0.9 2.774886e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 157 0.9 2.808165e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 158 0.9 2.827905e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 159 0.9 3.319153e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 160 0.9 3.098719e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 161 0.9 1.371609e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 162 0.9 3.014871e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 163 0.9 2.804429e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 164 0.9 2.906688e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 165 0.9 6.720040e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 166 0.9 2.956543e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 167 0.9 2.812808e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 168 0.9 2.799352e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 169 0.9 1.001347e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 170 0.9 3.154637e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 171 0.9 3.114799e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 172 0.9 2.996402e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 173 0.9 1.684963e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 174 0.9 2.824991e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 175 0.9 8.303053e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 176 0.9 5.236762e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 177 0.9 1.110028e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 178 0.9 3.016543e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 179 0.9 3.683179e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 180 0.9 2.793863e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 181 0.9 3.441629e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 182 0.9 3.014345e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 183 0.9 2.812516e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 184 0.9 2.884625e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 185 0.9 1.627708e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 186 0.9 2.808339e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 187 0.9 4.314817e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 188 0.9 2.772743e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 189 0.9 2.016009e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 190 0.9 2.777174e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 191 0.9 3.833154e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 192 0.9 3.117253e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 193 0.9 4.915844e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 194 0.9 2.837748e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 195 0.9 3.763705e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 196 0.9 2.795332e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 197 0.9 2.947249e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 198 0.9 2.804120e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 199 0.9 1.923976e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 200 0.9 2.784921e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 201 0.9 3.644033e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 202 0.9 2.934290e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 203 0.9 2.025415e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 204 0.9 2.788843e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 205 0.9 4.411967e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 206 0.9 2.811301e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 207 0.9 1.737145e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 208 0.9 2.815544e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 209 0.9 1.429446e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 210 0.9 2.810497e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 211 0.9 1.650551e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 212 0.9 2.805054e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 213 0.9 5.165553e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 214 0.9 5.529952e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 215 0.9 2.368031e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 216 0.9 2.884828e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 217 0.9 8.439568e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 218 0.9 2.747410e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 219 0.9 1.068002e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 220 0.9 2.834229e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 221 0.9 1.532924e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 222 0.9 2.808091e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 223 0.9 1.905729e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 224 0.9 2.927091e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 225 0.9 1.866657e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 226 0.9 3.158109e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 227 0.9 8.818323e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 228 0.9 2.990069e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 229 0.9 2.489178e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 230 0.9 2.825092e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 231 0.9 1.481653e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 232 0.9 2.900050e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 233 0.9 4.496728e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 234 0.9 2.778282e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 235 0.9 3.861716e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 236 0.9 2.806017e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 237 0.9 4.430215e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 238 0.9 2.784093e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 239 0.9 1.628908e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 240 0.9 2.776185e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 241 0.9 4.821623e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 242 0.9 3.037830e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 243 0.9 1.338338e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 244 0.9 2.812927e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 245 0.9 2.868937e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 246 0.9 3.006999e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 247 0.9 3.961625e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 248 0.9 2.781681e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 249 0.9 2.841460e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 250 0.9 2.794661e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 251 0.9 3.630952e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 252 0.9 2.853715e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 253 0.9 4.029672e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 254 0.9 2.768853e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 255 0.9 1.878054e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 256 0.9 2.809802e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 257 0.9 1.154046e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 258 0.9 2.857732e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 259 0.9 1.440425e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 260 0.9 2.808803e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 261 0.9 4.399924e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 262 0.9 2.784363e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 263 0.9 3.612357e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 264 0.9 2.862778e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 265 0.9 1.908648e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 266 0.9 2.819023e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 267 0.9 3.518034e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 268 0.9 5.522435e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 269 0.9 3.484342e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 270 0.9 2.819945e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 271 0.9 2.867837e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 272 0.9 2.787377e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 273 0.9 3.805022e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 274 0.9 2.901434e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 275 0.9 4.574336e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 276 0.9 2.778652e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 277 0.9 3.666181e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 278 0.9 3.113615e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 279 0.9 4.467955e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 280 0.9 2.777463e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 281 0.9 1.949214e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 282 0.9 3.034803e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 283 0.9 4.326315e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 284 0.9 2.837689e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 285 0.9 3.677804e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 286 0.9 2.769342e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 287 0.9 2.333342e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 288 0.9 2.796683e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 289 0.9 2.811168e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 290 0.9 2.842012e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 291 0.9 2.502871e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 292 0.9 2.811276e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 293 0.9 1.141464e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 294 0.9 2.924930e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 295 0.9 2.884842e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 296 0.9 2.990344e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 297 0.9 1.221615e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 298 0.9 5.081200e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 299 0.9 4.649338e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 300 0.9 3.349785e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 301 0.9 1.621170e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 302 0.9 2.898263e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 303 0.9 4.422521e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 304 0.9 2.846209e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 305 0.9 2.648204e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 306 0.9 2.758896e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 307 0.9 1.944644e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 308 0.9 2.855827e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 309 0.9 1.927064e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 310 0.9 2.852729e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 311 0.9 3.227731e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 312 0.9 2.789082e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 313 0.9 7.630905e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 314 0.9 3.151346e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 315 0.9 7.347895e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 316 0.9 2.788892e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 317 0.9 1.728471e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 318 0.9 3.311786e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 319 0.9 4.733591e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 320 0.9 2.867373e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 321 0.9 6.484504e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 322 0.9 2.849830e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 323 0.9 3.367344e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 324 0.9 2.933318e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 325 0.9 2.400841e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 326 0.9 3.012987e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 327 0.9 2.113560e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 328 0.9 2.776939e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 329 0.9 8.555305e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 330 0.9 2.884511e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 331 0.9 8.631258e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 332 0.9 2.758595e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 333 0.9 4.418348e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 334 0.9 3.307865e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 335 0.9 4.477619e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 336 0.9 4.502054e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 337 0.9 5.528017e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 338 0.9 2.809231e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 339 0.9 3.299908e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 340 0.9 2.749941e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 341 0.9 1.422285e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 342 0.9 2.811456e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 343 0.9 3.579939e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 344 0.9 2.814476e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 345 0.9 1.003897e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 346 0.9 3.054222e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 347 0.9 4.453568e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 348 0.9 2.810696e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 349 0.9 2.201110e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 350 0.9 3.171136e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 351 0.9 1.355905e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 352 0.9 2.809225e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 353 0.9 3.480266e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 354 0.9 2.834723e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 355 0.9 3.830144e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 356 0.9 2.766003e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 357 0.9 1.684733e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 358 0.9 2.820663e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 359 0.9 9.252387e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 360 0.9 2.959023e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 361 0.9 1.237468e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 362 0.9 2.799649e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 363 0.9 3.808555e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 364 0.9 2.839835e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 365 0.9 1.955010e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 366 0.9 6.055862e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 367 0.9 3.848433e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 368 0.9 2.782941e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 369 0.9 3.117703e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 370 0.9 2.971580e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 371 0.9 1.006611e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 372 0.9 4.541693e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 373 0.9 4.301702e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 374 0.9 2.886382e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 375 0.9 3.332696e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 376 0.9 2.849941e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 377 0.9 1.078917e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 378 0.9 2.945573e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 379 0.9 2.862155e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 380 0.9 2.802811e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 381 0.9 2.093769e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 382 0.9 2.751412e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 383 0.9 6.283033e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 384 0.9 3.046259e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 385 0.9 3.645346e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 386 0.9 2.842362e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 387 0.9 2.289127e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 388 0.9 3.030406e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 389 0.9 4.915349e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 390 0.9 2.851292e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 391 0.9 9.651736e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 392 0.9 3.212038e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 393 0.9 2.581353e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 394 0.9 2.797528e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 395 0.9 1.383152e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 396 0.9 2.762359e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 397 0.9 3.082704e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 398 0.9 2.848451e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 399 0.9 4.668468e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 400 0.9 2.947207e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 401 0.9 1.824063e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 402 0.9 2.772836e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 403 0.9 4.532529e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 404 0.9 2.762667e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 405 0.9 4.039584e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 406 0.9 3.063995e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 407 0.9 4.468106e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 408 0.9 2.984710e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 409 0.9 2.200116e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 410 0.9 2.848391e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 411 0.9 4.433995e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 412 0.9 2.856590e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 413 0.9 1.772077e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 414 0.9 2.772032e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 415 0.9 4.957419e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 416 0.9 2.773209e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 417 0.9 1.931647e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 418 0.9 2.844808e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 419 0.9 3.011970e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 420 0.9 2.800114e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 421 0.9 2.774933e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 422 0.9 3.121816e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 423 0.9 2.587175e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 424 0.9 2.854364e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 425 0.9 1.446438e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 426 0.9 2.773215e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 427 0.9 3.926436e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 428 0.9 2.861812e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 429 0.9 4.661046e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 430 0.9 2.912482e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 431 0.9 3.761069e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 432 0.9 2.862419e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 433 0.9 2.657191e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 434 0.9 2.920165e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 435 0.9 3.443672e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 436 0.9 2.779354e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 437 0.9 8.089696e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 438 0.9 2.935414e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 439 0.9 2.861632e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 440 0.9 2.898528e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 441 0.9 3.173029e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 442 0.9 2.774242e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 443 0.9 3.433381e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 444 0.9 2.810559e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 445 0.9 1.379068e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 446 0.9 2.864922e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 447 0.9 2.863601e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 448 0.9 2.810377e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 449 0.9 1.296102e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 450 0.9 2.798424e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 451 0.9 4.301950e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 452 0.9 2.783073e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 453 0.9 4.339609e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 454 0.9 2.836788e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 455 0.9 1.912014e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 456 0.9 2.839088e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 457 0.9 2.919129e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 458 0.9 2.783492e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 459 0.9 2.821987e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 460 0.9 2.812697e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 461 0.9 8.626072e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 462 0.9 2.779221e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 463 0.9 4.574102e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 464 0.9 2.828674e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 465 0.9 3.529098e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 466 0.9 2.741045e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 467 0.9 2.859635e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 468 0.9 3.076777e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 469 0.9 3.407915e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 470 0.9 2.907897e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 471 0.9 3.651749e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 472 0.9 2.773561e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 473 0.9 3.316717e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 474 0.9 2.903806e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 475 0.9 1.984884e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 476 0.9 2.781039e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 477 0.9 3.593286e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 478 0.9 2.838690e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 479 0.9 4.917974e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 480 0.9 2.837875e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 481 0.9 5.776970e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 482 0.9 2.773885e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 483 0.9 4.215928e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 484 0.9 2.800821e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 485 0.9 2.864894e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 486 0.9 2.783071e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 487 0.9 4.416082e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 488 0.9 2.954560e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 489 0.9 2.747785e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 490 0.9 2.935781e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 491 0.9 3.348875e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 492 0.9 2.799754e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 493 0.9 1.615395e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 494 0.9 2.816230e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 495 0.9 4.762274e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 496 0.9 2.826298e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 497 0.9 2.658290e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 498 0.9 2.801619e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 499 0.9 1.652590e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 500 0.9 2.885445e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 501 0.9 3.743937e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 502 0.9 2.794066e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 503 0.9 1.426530e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 504 0.9 2.763933e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 505 0.9 2.249320e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 506 0.9 3.096572e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 507 0.9 3.259178e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 508 0.9 2.929963e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 509 0.9 1.234914e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 510 0.9 2.937451e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 511 0.9 1.979514e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 512 0.9 2.864970e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 513 0.9 1.536637e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 514 0.9 3.209786e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 515 0.9 9.077241e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 516 0.9 2.981501e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 517 0.9 4.857909e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 518 0.9 2.871144e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 519 0.9 1.839819e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 520 0.9 2.865798e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 521 0.9 3.526032e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 522 0.9 3.020763e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 523 0.9 4.707433e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 524 0.9 2.958383e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 525 0.9 1.149904e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 526 0.9 2.810012e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 527 0.9 2.710415e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 528 0.9 3.037083e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 529 0.9 2.899802e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 530 0.9 2.788205e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 531 0.9 3.444662e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 532 0.9 2.971443e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 533 0.9 1.368082e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 534 0.9 2.796133e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 535 0.9 4.291347e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 536 0.9 3.000760e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 537 0.9 3.885009e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 538 0.9 2.892068e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 539 0.9 2.255410e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 540 0.9 3.024454e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 541 0.9 4.679851e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 542 0.9 2.790598e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 543 0.9 2.820492e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 544 0.9 2.790849e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 545 0.9 1.266956e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 546 0.9 2.821315e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 547 0.9 4.394367e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 548 0.9 2.915786e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 549 0.9 2.694226e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 550 0.9 2.820770e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 551 0.9 4.116519e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 552 0.9 2.962441e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 553 0.9 1.785436e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 554 0.9 2.757556e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 555 0.9 2.634634e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 556 0.9 2.778670e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 557 0.9 7.745404e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 558 0.9 2.941731e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 559 0.9 1.766821e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 560 0.9 2.795944e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 561 0.9 4.771625e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 562 0.9 2.820564e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 563 0.9 2.360105e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 564 0.9 3.004994e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 565 0.9 3.673320e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 566 0.9 3.044493e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 567 0.9 2.872783e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 568 0.9 2.993067e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 569 0.9 8.160010e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 570 0.9 2.797867e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 571 0.9 2.310226e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 572 0.9 2.953826e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 573 0.9 3.906008e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 574 0.9 2.850586e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 575 0.9 3.999373e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 576 0.9 2.936442e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 577 0.9 1.329812e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 578 0.9 2.776684e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 579 0.9 1.509725e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 580 0.9 2.809443e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 581 0.9 7.641238e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 582 0.9 2.775866e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 583 0.9 2.320824e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 584 0.9 2.720830e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 585 0.9 5.941816e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 586 0.9 2.763689e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 587 0.9 4.750798e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 588 0.9 2.840281e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 589 0.9 3.988433e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 590 0.9 2.836079e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 591 0.9 4.291174e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 592 0.9 2.994783e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 593 0.9 4.032496e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 594 0.9 2.816736e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 595 0.9 2.936867e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 596 0.9 2.770765e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 597 0.9 3.865120e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 598 0.9 2.882143e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 599 0.9 1.655831e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 600 0.9 2.825034e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 601 0.9 2.939333e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 602 0.9 6.323896e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 603 0.9 3.475714e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 604 0.9 2.925041e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 605 0.9 2.528135e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 606 0.9 3.280716e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 607 0.9 4.444347e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 608 0.9 2.794756e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 609 0.9 7.339974e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 610 0.9 3.607191e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 611 0.9 3.414192e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 612 0.9 2.785577e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 613 0.9 4.266411e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 614 0.9 3.246746e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 615 0.9 4.726102e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 616 0.9 2.800215e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 617 0.9 4.540419e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 618 0.9 2.804811e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 619 0.9 3.088048e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 620 0.9 2.967123e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 621 0.9 1.551542e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 622 0.9 2.782095e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 623 0.9 3.014404e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 624 0.9 2.914036e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 625 0.9 2.664514e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 626 0.9 3.115161e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 627 0.9 1.551627e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 628 0.9 2.797575e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 629 0.9 1.315702e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 630 0.9 2.751652e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 631 0.9 3.442250e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 632 0.9 2.914015e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 633 0.9 3.872274e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 634 0.9 2.819946e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 635 0.9 1.683469e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 636 0.9 2.803798e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 637 0.9 4.123496e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 638 0.9 2.801562e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 639 0.9 1.018083e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 640 0.9 2.772197e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 641 0.9 2.893784e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 642 0.9 3.013235e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 643 0.9 2.296831e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 644 0.9 2.785974e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 645 0.9 1.688186e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 646 0.9 2.894052e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 647 0.9 1.186928e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 648 0.9 3.172597e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 649 0.9 3.560701e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 650 0.9 2.866850e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 651 0.9 3.251990e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 652 0.9 2.928960e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 653 0.9 2.362520e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 654 0.9 2.804532e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 655 0.9 2.710037e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 656 0.9 2.901308e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 657 0.9 1.524780e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 658 0.9 3.010762e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 659 0.9 4.395543e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 660 0.9 2.977476e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 661 0.9 1.244978e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 662 0.9 2.819964e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 663 0.9 2.180613e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 664 0.9 2.834839e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 665 0.9 2.772326e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 666 0.9 5.596999e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 667 0.9 3.574427e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 668 0.9 2.806430e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 669 0.9 5.722106e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 670 0.9 3.014865e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 671 0.9 1.913460e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 672 0.9 2.808164e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 673 0.9 3.735337e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 674 0.9 2.816966e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 675 0.9 3.270978e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 676 0.9 2.770666e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 677 0.9 2.285797e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 678 0.9 3.026347e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 679 0.9 4.540342e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 680 0.9 2.837758e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 681 0.9 1.702770e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 682 0.9 2.992779e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 683 0.9 2.341336e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 684 0.9 2.794518e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 685 0.9 2.252549e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 686 0.9 2.777475e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 687 0.9 2.901250e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 688 0.9 2.807043e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 689 0.9 4.801913e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 690 0.9 2.855310e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 691 0.9 2.579323e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 692 0.9 2.810993e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 693 0.9 4.650660e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 694 0.9 2.775194e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 695 0.9 2.755558e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 696 0.9 3.033104e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 697 0.9 9.209363e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 698 0.9 2.904574e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 699 0.9 2.879599e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 700 0.9 2.784572e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 701 0.9 3.618600e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 702 0.9 2.752963e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 703 0.9 3.839229e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 704 0.9 3.117917e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 705 0.9 3.556659e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 706 0.9 2.995893e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 707 0.9 2.943325e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 708 0.9 3.037025e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 709 0.9 2.894002e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 710 0.9 2.874066e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 711 0.9 9.754906e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 712 0.9 2.794939e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 713 0.9 2.642727e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 714 0.9 2.789518e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 715 0.9 9.250479e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 716 0.9 3.067066e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 717 0.9 2.431800e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 718 0.9 2.783931e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 719 0.9 4.151098e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 720 0.9 2.781765e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 721 0.9 2.494991e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 722 0.9 2.772409e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 723 0.9 1.238569e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 724 0.9 2.881633e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 725 0.9 5.383502e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 726 0.9 2.799353e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 727 0.9 4.945314e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 728 0.9 2.786812e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 729 0.9 3.408932e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 730 0.9 2.796632e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 731 0.9 3.472150e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 732 0.9 2.932545e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 733 0.9 4.666129e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 734 0.9 3.048155e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 735 0.9 2.503259e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 736 0.9 2.855027e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 737 0.9 3.063661e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 738 0.9 2.764016e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 739 0.9 4.929492e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 740 0.9 2.918283e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 741 0.9 2.094076e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 742 0.9 2.761768e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 743 0.9 2.219301e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 744 0.9 3.403761e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 745 0.9 3.421663e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 746 0.9 2.779530e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 747 0.9 2.846029e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 748 0.9 2.843298e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 749 0.9 1.156342e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 750 0.9 2.782164e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 751 0.9 2.430846e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 752 0.9 2.868862e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 753 0.9 4.615234e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 754 0.9 2.801225e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 755 0.9 1.381734e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 756 0.9 4.375227e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 757 0.9 6.372346e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 758 0.9 2.973480e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 759 0.9 3.095097e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 760 0.9 2.748013e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 761 0.9 1.210252e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 762 0.9 2.857155e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 763 0.9 4.247851e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 764 0.9 2.842145e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 765 0.9 4.183234e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 766 0.9 5.650229e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 767 0.9 1.839517e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 768 0.9 2.794787e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 769 0.9 1.235583e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 770 0.9 2.806483e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 771 0.9 8.658424e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 772 0.9 2.766712e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 773 0.9 3.770210e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 774 0.9 2.842657e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 775 0.9 4.134371e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 776 0.9 2.927421e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 777 0.9 4.862625e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 778 0.9 2.795983e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 779 0.9 2.205275e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 780 0.9 2.763924e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 781 0.9 9.369872e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 782 0.9 2.798289e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 783 0.9 4.366193e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 784 0.9 2.825348e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 785 0.9 4.215463e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 786 0.9 2.817398e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 787 0.9 9.493051e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 788 0.9 2.868113e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 789 0.9 3.006143e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 790 0.9 2.763102e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 791 0.9 3.759738e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 792 0.9 2.822655e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 793 0.9 3.035150e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 794 0.9 2.895827e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 795 0.9 1.373845e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 796 0.9 2.850040e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 797 0.9 1.969153e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 798 0.9 2.817466e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 799 0.9 2.006946e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 800 0.9 2.741103e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 801 0.9 2.558048e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 802 0.9 2.945293e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 803 0.9 4.201183e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 804 0.9 2.848676e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 805 0.9 3.289625e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 806 0.9 3.033159e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 807 0.9 2.927417e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 808 0.9 5.865115e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 809 0.9 1.288278e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 810 0.9 2.808803e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 811 0.9 1.721029e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 812 0.9 2.769299e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 813 0.9 2.794975e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 814 0.9 2.775998e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 815 0.9 7.081809e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 816 0.9 2.762024e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 817 0.9 3.890898e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 818 0.9 2.937690e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 819 0.9 2.399971e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 820 0.9 2.804803e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 821 0.9 4.851538e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 822 0.9 2.829750e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 823 0.9 1.900477e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 824 0.9 2.803442e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 825 0.9 2.206180e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 826 0.9 2.914958e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 827 0.9 3.109502e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 828 0.9 2.776442e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 829 0.9 3.292800e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 830 0.9 2.799151e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 831 0.9 1.238638e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 832 0.9 2.769530e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 833 0.9 3.566795e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 834 0.9 2.898205e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 835 0.9 9.730082e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 836 0.9 4.568755e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 837 0.9 3.555399e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 838 0.9 2.785470e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 839 0.9 2.909803e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 840 0.9 3.178604e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 841 0.9 2.888374e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 842 0.9 5.631289e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 843 0.9 4.616541e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 844 0.9 3.182138e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 845 0.9 1.014975e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 846 0.9 2.793340e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 847 0.9 2.335951e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 848 0.9 2.787690e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 849 0.9 1.593484e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 850 0.9 2.870641e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 851 0.9 4.430902e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 852 0.9 2.791940e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 853 0.9 3.965811e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 854 0.9 2.840438e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 855 0.9 3.671999e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 856 0.9 2.799495e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 857 0.9 3.536561e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 858 0.9 2.762217e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 859 0.9 1.793776e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 860 0.9 2.996507e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 861 0.9 4.318300e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 862 0.9 2.819383e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 863 0.9 9.840445e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 864 0.9 2.906818e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 865 0.9 1.113610e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 866 0.9 2.768896e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 867 0.9 4.453717e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 868 0.9 2.823544e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 869 0.9 3.610592e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 870 0.9 2.804629e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 871 0.9 1.933352e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 872 0.9 3.033452e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 873 0.9 4.517292e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 874 0.9 2.756583e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 875 0.9 2.616500e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 876 0.9 2.812202e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 877 0.9 1.908828e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 878 0.9 2.787313e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 879 0.9 2.063017e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 880 0.9 2.784106e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 881 0.9 4.207409e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 882 0.9 2.807055e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 883 0.9 8.431502e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 884 0.9 2.778210e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 885 0.9 3.564962e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 886 0.9 2.737921e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 887 0.9 6.728980e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 888 0.9 2.800985e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 889 0.9 4.850042e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 890 0.9 2.852214e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 891 0.9 2.213945e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 892 0.9 2.778689e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 893 0.9 3.801831e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 894 0.9 2.774924e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 895 0.9 2.596397e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 896 0.9 2.785126e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 897 0.9 3.354573e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 898 0.9 3.100667e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 899 0.9 2.387184e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 900 0.9 2.750529e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 901 0.9 1.122261e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 902 0.9 6.606758e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 903 0.9 4.990873e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 904 0.9 2.782119e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 905 0.9 1.096129e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 906 0.9 2.957542e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 907 0.9 2.977865e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 908 0.9 3.028781e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 909 0.9 6.762007e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 910 0.9 2.875876e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 911 0.9 3.270425e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 912 0.9 3.081849e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 913 0.9 3.613292e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 914 0.9 2.794969e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 915 0.9 3.884809e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 916 0.9 2.778260e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 917 0.9 3.410439e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 918 0.9 2.776020e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 919 0.9 1.549167e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 920 0.9 4.552827e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 921 0.9 3.527004e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 922 0.9 3.012716e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 923 0.9 7.295919e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 924 0.9 2.810023e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 925 0.9 3.519973e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 926 0.9 2.964504e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 927 0.9 3.055970e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 928 0.9 6.001896e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 929 0.9 3.730095e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 930 0.9 2.825246e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 931 0.9 4.258389e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 932 0.9 2.790014e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 933 0.9 2.918203e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 934 0.9 2.832509e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 935 0.9 3.541082e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 936 0.9 2.804119e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 937 0.9 2.967600e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 938 0.9 2.762744e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 939 0.9 3.789871e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 940 0.9 2.873949e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 941 0.9 2.714137e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 942 0.9 2.813493e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 943 0.9 1.614474e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 944 0.9 2.973197e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 945 0.9 3.958725e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 946 0.9 3.109702e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 947 0.9 4.513592e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 948 0.9 2.864306e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 949 0.9 2.455637e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 950 0.9 3.456357e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 951 0.9 4.870654e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 952 0.9 3.000551e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 953 0.9 1.358118e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 954 0.9 2.809273e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 955 0.9 4.065123e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 956 0.9 2.765986e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 957 0.9 4.273635e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 958 0.9 2.812450e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 959 0.9 4.394458e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 960 0.9 2.809706e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 961 0.9 6.856611e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 962 0.9 2.870344e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 963 0.9 1.656170e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 964 0.9 2.907721e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 965 0.9 3.955748e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 966 0.9 2.750619e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 967 0.9 2.009412e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 968 0.9 2.742535e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 969 0.9 1.449047e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 970 0.9 2.795669e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 971 0.9 2.611505e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 972 0.9 2.848884e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 973 0.9 3.637935e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 974 0.9 2.962466e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 975 0.9 3.147203e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 976 0.9 2.888579e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 977 0.9 1.130431e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 978 0.9 2.798541e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 979 0.9 3.146238e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 980 0.9 2.770300e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 981 0.9 4.007667e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 982 0.9 2.804988e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 983 0.9 3.065909e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 984 0.9 2.842972e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 985 0.9 4.599268e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 986 0.9 2.769392e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 987 0.9 1.639483e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 988 0.9 2.877380e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 989 0.9 3.667240e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 990 0.9 2.748830e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 991 0.9 3.216738e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 992 0.9 2.772186e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 993 0.9 4.568429e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 994 0.9 2.768253e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 995 0.9 4.372050e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 996 0.9 2.889616e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 997 0.9 4.996891e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 998 0.9 2.777192e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 999 0.9 1.031487e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1000 0.9 2.791453e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1001 0.9 4.219749e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1002 0.9 2.771755e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1003 0.9 1.954451e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1004 0.9 2.763886e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1005 0.9 3.193274e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1006 0.9 2.901332e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1007 0.9 3.719982e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1008 0.9 2.752647e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1009 0.9 4.066156e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1010 0.9 2.812735e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1011 0.9 8.344002e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1012 0.9 2.845861e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1013 0.9 4.231652e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1014 0.9 2.838410e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1015 0.9 1.614064e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1016 0.9 2.818376e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1017 0.9 2.775712e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1018 0.9 2.796700e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1019 0.9 4.483692e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1020 0.9 2.885984e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1021 0.9 3.275221e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1022 0.9 2.809340e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1023 0.9 9.030550e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1024 0.9 2.759463e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1025 0.9 4.780026e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1026 0.9 2.827738e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1027 0.9 2.498265e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1028 0.9 3.321469e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1029 0.9 4.707650e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1030 0.9 2.795331e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1031 0.9 1.647048e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1032 0.9 2.807971e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1033 0.9 2.478335e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1034 0.9 2.834249e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1035 0.9 3.653106e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1036 0.9 2.748830e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1037 0.9 1.316327e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1038 0.9 3.165854e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1039 0.9 2.527384e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1040 0.9 2.942445e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1041 0.9 2.434667e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1042 0.9 3.135956e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1043 0.9 4.949956e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1044 0.9 2.946397e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1045 0.9 1.732082e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1046 0.9 3.152754e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1047 0.9 3.894530e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1048 0.9 2.827713e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1049 0.9 4.544810e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1050 0.9 2.776400e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1051 0.9 1.827818e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1052 0.9 2.822931e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1053 0.9 3.326736e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1054 0.9 2.879908e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1055 0.9 3.299707e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1056 0.9 3.064097e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1057 0.9 2.207728e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1058 0.9 2.859185e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1059 0.9 4.858373e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1060 0.9 2.856801e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1061 0.9 3.942128e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1062 0.9 3.391943e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1063 0.9 4.071966e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1064 0.9 2.901772e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1065 0.9 2.550813e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1066 0.9 2.752492e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1067 0.9 3.681840e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1068 0.9 2.894360e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1069 0.9 3.223932e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1070 0.9 2.736748e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1071 0.9 2.172840e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1072 0.9 2.756838e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1073 0.9 1.705544e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1074 0.9 2.976038e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1075 0.9 1.202447e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1076 0.9 2.772201e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1077 0.9 2.690326e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1078 0.9 2.765745e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1079 0.9 2.764865e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1080 0.9 2.811232e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1081 0.9 2.097256e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1082 0.9 2.751286e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1083 0.9 3.878360e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1084 0.9 3.228066e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1085 0.9 5.905255e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1086 0.9 2.754362e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1087 0.9 6.450181e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1088 0.9 2.776627e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1089 0.9 9.700177e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1090 0.9 2.773465e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1091 0.9 4.740157e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1092 0.9 2.982737e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1093 0.9 8.577564e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1094 0.9 2.837806e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1095 0.9 1.609162e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1096 0.9 3.126379e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1097 0.9 2.330921e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1098 0.9 2.764621e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1099 0.9 3.794104e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1100 0.9 2.895526e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1101 0.9 4.614497e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1102 0.9 2.865383e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1103 0.9 3.116702e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1104 0.9 2.769921e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1105 0.9 4.143242e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1106 0.9 2.790817e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1107 0.9 1.982634e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1108 0.9 2.938264e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1109 0.9 5.960764e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1110 0.9 2.757521e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1111 0.9 3.100706e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1112 0.9 2.956573e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1113 0.9 3.567812e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1114 0.9 2.815350e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1115 0.9 4.459081e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1116 0.9 3.001637e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1117 0.9 2.927737e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1118 0.9 2.783295e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1119 0.9 1.804282e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1120 0.9 2.933156e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1121 0.9 8.253032e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1122 0.9 4.609094e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1123 0.9 1.724279e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1124 0.9 2.811506e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1125 0.9 3.975338e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1126 0.9 2.775545e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1127 0.9 4.626646e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1128 0.9 3.235428e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1129 0.9 2.152847e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1130 0.9 2.851241e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1131 0.9 3.354932e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1132 0.9 2.772904e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1133 0.9 2.371308e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1134 0.9 2.776242e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1135 0.9 3.239329e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1136 0.9 2.889304e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1137 0.9 1.953064e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1138 0.9 2.859563e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1139 0.9 1.921955e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1140 0.9 2.805569e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1141 0.9 2.505522e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1142 0.9 2.816710e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1143 0.9 2.348369e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1144 0.9 2.814664e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1145 0.9 3.132891e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1146 0.9 2.800733e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1147 0.9 4.948599e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1148 0.9 2.770118e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1149 0.9 4.718329e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1150 0.9 2.941381e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1151 0.9 1.961570e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1152 0.9 3.140175e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1153 0.9 2.975972e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1154 0.9 2.815044e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1155 0.9 1.866035e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1156 0.9 2.768695e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1157 0.9 2.218870e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1158 0.9 2.845026e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1159 0.9 9.995438e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1160 0.9 3.099962e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1161 0.9 2.350187e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1162 0.9 2.860084e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1163 0.9 3.944118e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1164 0.9 2.810781e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1165 0.9 3.753029e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1166 0.9 2.970805e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1167 0.9 1.060176e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1168 0.9 2.809325e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1169 0.9 4.976388e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1170 0.9 2.828111e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1171 0.9 3.467348e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1172 0.9 2.789129e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1173 0.9 4.329897e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1174 0.9 3.026773e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1175 0.9 2.524104e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1176 0.9 2.865880e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1177 0.9 2.243221e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1178 0.9 2.775205e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1179 0.9 3.367711e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1180 0.9 2.832313e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1181 0.9 4.015098e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1182 0.9 2.900784e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1183 0.9 1.623600e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1184 0.9 2.800105e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1185 0.9 1.506593e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1186 0.9 2.884740e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1187 0.9 2.504908e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1188 0.9 2.748176e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1189 0.9 1.272525e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1190 0.9 2.977653e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1191 0.9 4.709638e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1192 0.9 2.861379e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1193 0.9 3.760563e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1194 0.9 3.145788e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1195 0.9 1.831780e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1196 0.9 2.758855e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1197 0.9 3.564784e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1198 0.9 2.777505e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1199 0.9 3.527378e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1200 0.9 2.790976e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1201 0.9 3.236919e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1202 0.9 2.951171e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1203 0.9 2.672133e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1204 0.9 2.805912e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1205 0.9 4.963050e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1206 0.9 4.871755e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1207 0.9 1.431716e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1208 0.9 3.489063e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1209 0.9 4.639642e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1210 0.9 2.754933e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1211 0.9 2.410750e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1212 0.9 2.806419e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1213 0.9 4.484331e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1214 0.9 2.781611e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1215 0.9 4.237596e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1216 0.9 2.863007e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1217 0.9 4.514949e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1218 0.9 3.133287e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1219 0.9 2.624531e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1220 0.9 2.798484e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1221 0.9 6.452692e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1222 0.9 2.907623e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1223 0.9 3.675518e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1224 0.9 2.820040e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1225 0.9 3.285693e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1226 0.9 2.823416e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1227 0.9 2.974509e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1228 0.9 2.798027e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1229 0.9 4.202640e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1230 0.9 2.810716e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1231 0.9 2.794128e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1232 0.9 2.819234e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1233 0.9 2.312881e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1234 0.9 2.898496e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1235 0.9 2.984710e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1236 0.9 2.888468e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1237 0.9 2.572351e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1238 0.9 2.762119e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1239 0.9 4.940940e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1240 0.9 2.865735e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1241 0.9 4.380504e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1242 0.9 2.800019e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1243 0.9 2.150982e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1244 0.9 3.350382e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1245 0.9 3.676844e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1246 0.9 2.823362e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1247 0.9 3.987948e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1248 0.9 2.774428e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1249 0.9 3.668993e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1250 0.9 3.175376e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1251 0.9 1.700236e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1252 0.9 2.874422e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1253 0.9 1.053516e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1254 0.9 2.968893e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1255 0.9 1.545954e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1256 0.9 2.800241e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1257 0.9 4.175098e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1258 0.9 2.773614e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1259 0.9 3.421573e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1260 0.9 2.820686e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1261 0.9 1.625063e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1262 0.9 2.846790e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1263 0.9 4.606704e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1264 0.9 3.347194e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1265 0.9 1.052684e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1266 0.9 2.902646e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1267 0.9 1.142698e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1268 0.9 2.969051e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1269 0.9 2.950755e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1270 0.9 2.949758e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1271 0.9 1.857374e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1272 0.9 2.983203e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1273 0.9 7.686520e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1274 0.9 3.061898e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1275 0.9 4.452904e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1276 0.9 2.746545e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1277 0.9 4.489106e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1278 0.9 2.750264e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1279 0.9 8.398528e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1280 0.9 2.818399e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1281 0.9 1.880228e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1282 0.9 2.894418e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1283 0.9 4.890811e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1284 0.9 2.759078e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1285 0.9 3.197996e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1286 0.9 2.861268e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1287 0.9 1.737739e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1288 0.9 2.794327e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1289 0.9 3.579423e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1290 0.9 2.991290e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1291 0.9 3.258467e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1292 0.9 2.731882e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1293 0.9 1.924057e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1294 0.9 3.136901e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1295 0.9 6.129338e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1296 0.9 2.827923e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1297 0.9 3.300585e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1298 0.9 2.803701e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1299 0.9 2.781031e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1300 0.9 2.807640e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1301 0.9 3.169237e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1302 0.9 2.781554e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1303 0.9 3.937164e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1304 0.9 2.988407e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1305 0.9 3.304736e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1306 0.9 2.799043e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1307 0.9 3.901205e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1308 0.9 2.774218e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1309 0.9 1.738222e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1310 0.9 2.756495e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1311 0.9 4.950613e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1312 0.9 2.781909e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1313 0.9 2.685342e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1314 0.9 2.912843e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1315 0.9 2.091579e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1316 0.9 2.979203e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1317 0.9 3.635015e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1318 0.9 2.803958e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1319 0.9 4.977231e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1320 0.9 2.860817e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1321 0.9 3.495162e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1322 0.9 2.824645e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1323 0.9 1.609422e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1324 0.9 3.115350e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1325 0.9 1.127896e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1326 0.9 2.843847e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1327 0.9 4.952629e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1328 0.9 2.984971e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1329 0.9 2.228724e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1330 0.9 2.830274e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1331 0.9 2.383265e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1332 0.9 2.837956e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1333 0.9 1.178749e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1334 0.9 2.853033e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1335 0.9 2.670801e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1336 0.9 2.989752e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1337 0.9 7.529529e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1338 0.9 2.875532e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1339 0.9 1.293024e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1340 0.9 2.762463e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1341 0.9 5.536013e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1342 0.9 2.789930e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1343 0.9 4.868265e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1344 0.9 3.177228e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1345 0.9 2.253609e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1346 0.9 2.901909e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1347 0.9 4.847159e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1348 0.9 2.826703e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1349 0.9 2.581571e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1350 0.9 2.814740e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1351 0.9 2.033675e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1352 0.9 2.831728e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1353 0.9 1.807843e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1354 0.9 2.748791e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1355 0.9 1.685389e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1356 0.9 2.807813e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1357 0.9 3.226743e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1358 0.9 2.740827e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1359 0.9 4.212895e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1360 0.9 2.850850e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1361 0.9 4.758914e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1362 0.9 2.778699e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1363 0.9 2.354037e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1364 0.9 3.198960e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1365 0.9 3.459385e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1366 0.9 2.931406e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1367 0.9 2.913907e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1368 0.9 2.819237e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1369 0.9 3.850490e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1370 0.9 2.792793e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1371 0.9 4.631828e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1372 0.9 2.748752e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1373 0.9 4.735718e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1374 0.9 2.798681e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1375 0.9 2.031311e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1376 0.9 2.794227e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1377 0.9 2.482677e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1378 0.9 2.763698e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1379 0.9 2.637169e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1380 0.9 2.786552e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1381 0.9 5.886108e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1382 0.9 2.856816e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1383 0.9 2.768142e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1384 0.9 2.814612e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1385 0.9 5.065525e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1386 0.9 2.883406e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1387 0.9 1.930694e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1388 0.9 3.052869e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1389 0.9 5.623768e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1390 0.9 2.830712e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1391 0.9 1.131369e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1392 0.9 3.019585e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1393 0.9 3.139958e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1394 0.9 2.809990e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1395 0.9 2.799555e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1396 0.9 2.986303e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1397 0.9 3.411116e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1398 0.9 2.775529e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1399 0.9 6.500990e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1400 0.9 2.989560e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1401 0.9 4.815169e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1402 0.9 5.922333e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1403 0.9 5.791152e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1404 0.9 1.272989e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1405 0.9 1.623830e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1406 0.9 3.647959e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1407 0.9 4.903490e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1408 0.9 2.814466e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1409 0.9 3.386517e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1410 0.9 2.795138e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1411 0.9 1.086764e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1412 0.9 3.112493e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1413 0.9 2.893971e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1414 0.9 4.290131e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1415 0.9 2.394936e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1416 0.9 2.808814e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1417 0.9 3.981260e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1418 0.9 3.166656e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1419 0.9 3.118448e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1420 0.9 2.856559e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1421 0.9 2.109177e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1422 0.9 2.830518e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1423 0.9 6.197134e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1424 0.9 2.965856e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1425 0.9 1.259240e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1426 0.9 3.130781e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1427 0.9 3.708759e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1428 0.9 2.760436e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1429 0.9 4.326761e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1430 0.9 2.793337e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1431 0.9 4.595305e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1432 0.9 3.049924e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1433 0.9 1.071598e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1434 0.9 2.750461e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1435 0.9 4.033435e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1436 0.9 3.071594e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1437 0.9 1.986772e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1438 0.9 2.786109e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1439 0.9 2.915874e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1440 0.9 2.803993e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1441 0.9 4.140361e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1442 0.9 2.846252e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1443 0.9 2.548514e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1444 0.9 2.829317e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1445 0.9 3.531168e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1446 0.9 2.973891e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1447 0.9 4.267070e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1448 0.9 3.010011e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1449 0.9 3.588156e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1450 0.9 2.790035e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1451 0.9 1.049358e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1452 0.9 2.815319e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1453 0.9 4.626496e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1454 0.9 2.767881e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1455 0.9 1.802187e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1456 0.9 2.858917e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1457 0.9 2.366331e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1458 0.9 2.762718e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1459 0.9 1.675494e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1460 0.9 3.119288e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1461 0.9 5.488649e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1462 0.9 2.787891e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1463 0.9 1.693772e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1464 0.9 2.778521e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1465 0.9 3.555625e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1466 0.9 2.836285e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1467 0.9 6.448656e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1468 0.9 2.872298e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1469 0.9 1.213211e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1470 0.9 2.790322e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1471 0.9 3.477067e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1472 0.9 5.771473e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1473 0.9 4.507259e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1474 0.9 2.753212e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1475 0.9 4.741264e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1476 0.9 2.859500e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1477 0.9 3.412405e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1478 0.9 2.782744e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1479 0.9 1.993629e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1480 0.9 2.805840e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1481 0.9 3.727169e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1482 0.9 2.889830e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1483 0.9 1.362160e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1484 0.9 2.766412e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1485 0.9 6.380544e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1486 0.9 8.858477e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1487 0.9 3.388455e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1488 0.9 2.977733e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1489 0.9 2.817632e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1490 0.9 2.790191e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1491 0.9 8.752768e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1492 0.9 3.016495e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1493 0.9 3.269015e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1494 0.9 2.766899e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1495 0.9 1.745471e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1496 0.9 2.798794e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1497 0.9 3.370182e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1498 0.9 3.053357e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1499 0.9 3.277467e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1500 0.9 2.984594e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1501 0.9 2.179592e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1502 0.9 2.811183e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1503 0.9 3.067755e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1504 0.9 2.783507e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1505 0.9 2.023049e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1506 0.9 2.800779e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1507 0.9 2.024750e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1508 0.9 2.778624e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1509 0.9 1.293938e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1510 0.9 2.814734e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1511 0.9 8.557285e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1512 0.9 2.829017e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1513 0.9 1.514209e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1514 0.9 3.186700e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1515 0.9 3.124396e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1516 0.9 2.814416e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1517 0.9 3.306945e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1518 0.9 2.754295e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1519 0.9 4.998019e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1520 0.9 2.846117e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1521 0.9 1.256037e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1522 0.9 2.792910e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1523 0.9 3.862291e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1524 0.9 2.834025e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1525 0.9 3.224396e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1526 0.9 3.031222e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1527 0.9 1.064436e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1528 0.9 2.930430e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1529 0.9 1.229582e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1530 0.9 2.788176e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1531 0.9 3.474968e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1532 0.9 2.964571e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1533 0.9 4.469238e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1534 0.9 2.926086e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1535 0.9 3.338551e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1536 0.9 3.035621e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1537 0.9 1.154306e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1538 0.9 6.683274e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1539 0.9 3.163166e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1540 0.9 2.835294e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1541 0.9 4.825794e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1542 0.9 2.776469e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1543 0.9 4.525552e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1544 0.9 2.786812e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1545 0.9 6.714041e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1546 0.9 2.794723e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1547 0.9 4.830107e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1548 0.9 2.786032e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1549 0.9 9.573083e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1550 0.9 2.863921e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1551 0.9 3.631619e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1552 0.9 5.047121e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1553 0.9 4.087883e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1554 0.9 3.030993e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1555 0.9 1.505592e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1556 0.9 2.825498e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1557 0.9 3.490797e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1558 0.9 6.643191e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1559 0.9 3.466019e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1560 0.9 2.777662e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1561 0.9 4.998521e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1562 0.9 5.436603e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1563 0.9 1.399416e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1564 0.9 2.787803e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1565 0.9 1.014402e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1566 0.9 3.172023e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1567 0.9 3.318263e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1568 0.9 2.945579e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1569 0.9 1.809638e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1570 0.9 2.911216e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1571 0.9 3.846010e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1572 0.9 2.850200e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1573 0.9 6.552826e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1574 0.9 2.796768e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1575 0.9 3.420631e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1576 0.9 2.769104e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1577 0.9 7.256364e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1578 0.9 2.798041e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1579 0.9 4.559456e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1580 0.9 2.823691e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1581 0.9 3.374823e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1582 0.9 2.818878e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1583 0.9 3.777716e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1584 0.9 2.768851e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1585 0.9 3.237230e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1586 0.9 4.751571e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1587 0.9 2.834664e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1588 0.9 2.785140e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1589 0.9 1.836767e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1590 0.9 3.288076e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1591 0.9 2.561905e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1592 0.9 2.832517e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1593 0.9 1.646640e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1594 0.9 2.791224e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1595 0.9 2.836432e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1596 0.9 2.754364e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1597 0.9 3.363201e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1598 0.9 2.977914e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1599 0.9 6.020313e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1600 0.9 3.116593e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1601 0.9 6.098866e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1602 0.9 2.799996e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1603 0.9 2.962177e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1604 0.9 2.904938e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1605 0.9 1.321559e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1606 0.9 2.828447e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1607 0.9 3.770532e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1608 0.9 2.980117e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1609 0.9 3.962821e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1610 0.9 2.796851e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1611 0.9 6.911769e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1612 0.9 2.794007e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1613 0.9 5.056962e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1614 0.9 2.774415e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1615 0.9 3.183195e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1616 0.9 2.750094e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1617 0.9 1.122512e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1618 0.9 2.847695e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1619 0.9 6.286762e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1620 0.9 3.091623e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1621 0.9 3.541571e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1622 0.9 2.773869e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1623 0.9 4.340029e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1624 0.9 2.764960e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1625 0.9 1.809305e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1626 0.9 2.799770e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1627 0.9 2.843339e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1628 0.9 2.797181e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1629 0.9 1.158726e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1630 0.9 2.820447e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1631 0.9 2.316757e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1632 0.9 2.771597e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1633 0.9 3.743730e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1634 0.9 2.782643e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1635 0.9 1.055479e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1636 0.9 2.878677e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1637 0.9 1.626355e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1638 0.9 3.041772e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1639 0.9 4.158376e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1640 0.9 2.818600e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1641 0.9 1.614554e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1642 0.9 2.795907e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1643 0.9 4.662848e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1644 0.9 2.768674e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1645 0.9 2.550162e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1646 0.9 2.855363e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1647 0.9 4.173569e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1648 0.9 2.820981e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1649 0.9 3.106914e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1650 0.9 3.047300e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1651 0.9 5.158223e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1652 0.9 2.785627e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1653 0.9 3.426644e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1654 0.9 3.032553e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1655 0.9 1.531127e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1656 0.9 2.787809e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1657 0.9 3.578592e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1658 0.9 2.764210e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1659 0.9 1.715437e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1660 0.9 3.144438e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1661 0.9 2.533974e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1662 0.9 2.834187e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1663 0.9 2.937157e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1664 0.9 2.728420e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1665 0.9 4.847930e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1666 0.9 3.108888e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1667 0.9 4.374746e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1668 0.9 2.773619e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1669 0.9 1.155063e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1670 0.9 2.730479e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1671 0.9 2.450677e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1672 0.9 2.979845e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1673 0.9 3.632080e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1674 0.9 3.047770e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1675 0.9 6.688969e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1676 0.9 2.777035e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1677 0.9 3.726055e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1678 0.9 5.610218e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1679 0.9 4.216456e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1680 0.9 2.781863e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1681 0.9 2.324554e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1682 0.9 2.817887e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1683 0.9 1.934161e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1684 0.9 2.800834e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1685 0.9 1.082444e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1686 0.9 2.776940e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1687 0.9 3.511251e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1688 0.9 3.277161e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1689 0.9 3.676229e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1690 0.9 2.786260e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1691 0.9 2.954686e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1692 0.9 2.770778e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1693 0.9 1.317992e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1694 0.9 2.797613e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1695 0.9 1.019524e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1696 0.9 2.778500e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1697 0.9 9.402748e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1698 0.9 2.800765e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1699 0.9 3.369832e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1700 0.9 2.846179e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1701 0.9 2.198177e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1702 0.9 2.939463e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1703 0.9 1.525385e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1704 0.9 2.823801e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1705 0.9 4.463524e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1706 0.9 2.763121e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1707 0.9 4.600249e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1708 0.9 2.839768e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1709 0.9 2.123817e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1710 0.9 2.821871e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1711 0.9 1.059929e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1712 0.9 2.780785e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1713 0.9 1.581102e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1714 0.9 2.788793e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1715 0.9 1.123910e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1716 0.9 2.724698e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1717 0.9 4.185522e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1718 0.9 2.897939e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1719 0.9 1.922096e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1720 0.9 4.423808e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1721 0.9 3.848720e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1722 0.9 2.932141e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1723 0.9 2.264045e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1724 0.9 3.110530e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1725 0.9 3.464611e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1726 0.9 2.991708e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1727 0.9 1.591126e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1728 0.9 2.856383e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1729 0.9 5.619214e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1730 0.9 3.622138e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1731 0.9 3.766803e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1732 0.9 2.845318e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1733 0.9 8.352306e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1734 0.9 2.867419e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1735 0.9 4.311668e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1736 0.9 3.048405e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1737 0.9 1.084743e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1738 0.9 2.877609e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1739 0.9 3.084762e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1740 0.9 2.789343e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1741 0.9 1.538792e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1742 0.9 2.894293e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1743 0.9 2.276417e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1744 0.9 2.821012e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1745 0.9 3.397437e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1746 0.9 2.781487e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1747 0.9 3.654231e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1748 0.9 3.016206e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1749 0.9 1.963566e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1750 0.9 2.893369e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1751 0.9 6.050396e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1752 0.9 2.792940e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1753 0.9 2.039189e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1754 0.9 2.775641e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1755 0.9 4.182466e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1756 0.9 3.135534e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1757 0.9 1.641916e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1758 0.9 2.889680e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1759 0.9 4.664835e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1760 0.9 2.853261e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1761 0.9 1.362485e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1762 0.9 3.220268e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1763 0.9 3.535784e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1764 0.9 2.988062e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1765 0.9 4.381307e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1766 0.9 2.753141e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1767 0.9 4.933115e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1768 0.9 3.170209e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1769 0.9 4.856050e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1770 0.9 3.316971e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1771 0.9 2.022134e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1772 0.9 2.798409e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1773 0.9 2.433931e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1774 0.9 2.790105e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1775 0.9 2.879567e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1776 0.9 2.862870e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1777 0.9 3.699470e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1778 0.9 4.557924e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1779 0.9 8.332297e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1780 0.9 3.169975e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1781 0.9 3.173266e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1782 0.9 2.838527e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1783 0.9 2.707507e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1784 0.9 3.053989e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1785 0.9 2.908335e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1786 0.9 2.774802e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1787 0.9 5.155677e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1788 0.9 3.094514e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1789 0.9 1.741245e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1790 0.9 2.793606e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1791 0.9 3.953515e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1792 0.9 2.811609e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1793 0.9 1.734721e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1794 0.9 3.036143e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1795 0.9 1.575403e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1796 0.9 3.097192e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1797 0.9 3.948559e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1798 0.9 2.951239e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1799 0.9 3.842220e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1800 0.9 2.819873e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1801 0.9 2.351979e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1802 0.9 3.026001e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1803 0.9 4.375164e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1804 0.9 2.945476e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1805 0.9 1.199697e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1806 0.9 3.041396e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1807 0.9 8.953871e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1808 0.9 2.936155e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1809 0.9 7.073487e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1810 0.9 3.260240e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1811 0.9 8.896392e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1812 0.9 2.806355e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1813 0.9 4.381925e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1814 0.9 2.894096e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1815 0.9 3.344337e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1816 0.9 3.127137e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1817 0.9 1.295779e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1818 0.9 2.807717e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1819 0.9 3.894882e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1820 0.9 2.994600e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1821 0.9 4.877065e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1822 0.9 2.927963e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1823 0.9 1.611273e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1824 0.9 3.181683e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1825 0.9 1.220965e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1826 0.9 2.793756e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1827 0.9 4.023527e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1828 0.9 2.840734e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1829 0.9 1.292675e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1830 0.9 2.844301e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1831 0.9 1.719198e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1832 0.9 3.118510e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1833 0.9 6.320886e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1834 0.9 2.812273e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1835 0.9 1.554925e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1836 0.9 6.116072e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1837 0.9 3.805639e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1838 0.9 2.965672e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1839 0.9 4.723595e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1840 0.9 2.970997e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1841 0.9 1.795163e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1842 0.9 2.918504e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1843 0.9 2.762962e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1844 0.9 2.772745e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1845 0.9 3.896921e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1846 0.9 2.880987e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1847 0.9 4.647604e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1848 0.9 2.883204e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1849 0.9 3.914129e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1850 0.9 2.807362e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1851 0.9 3.344786e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1852 0.9 3.078738e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1853 0.9 1.336628e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1854 0.9 2.845508e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1855 0.9 1.795997e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1856 0.9 3.191131e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1857 0.9 4.723835e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1858 0.9 2.778296e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1859 0.9 4.718198e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1860 0.9 2.971956e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1861 0.9 1.131123e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1862 0.9 3.142309e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1863 0.9 3.987263e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1864 0.9 2.999023e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1865 0.9 4.687693e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1866 0.9 2.764643e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1867 0.9 2.009385e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1868 0.9 2.833737e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1869 0.9 2.352014e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1870 0.9 3.112039e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1871 0.9 1.828003e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1872 0.9 2.940911e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1873 0.9 1.256974e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1874 0.9 3.045063e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1875 0.9 6.685850e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1876 0.9 3.461391e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1877 0.9 3.773714e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1878 0.9 2.808399e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1879 0.9 2.511369e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1880 0.9 2.788619e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1881 0.9 4.280676e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1882 0.9 2.817185e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1883 0.9 1.378298e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1884 0.9 6.048803e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1885 0.9 2.695111e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1886 0.9 2.943140e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1887 0.9 2.498635e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1888 0.9 2.954827e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1889 0.9 2.440672e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1890 0.9 2.954087e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1891 0.9 4.569071e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1892 0.9 2.916990e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1893 0.9 4.046775e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1894 0.9 2.984106e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1895 0.9 3.755215e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1896 0.9 2.786608e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1897 0.9 1.672890e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1898 0.9 2.967370e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1899 0.9 1.973147e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1900 0.9 3.042950e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1901 0.9 3.446056e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1902 0.9 3.066407e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1903 0.9 4.697991e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1904 0.9 3.026080e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1905 0.9 2.635899e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1906 0.9 2.806180e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1907 0.9 1.130841e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1908 0.9 2.736992e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1909 0.9 2.632934e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1910 0.9 2.772098e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1911 0.9 1.746109e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1912 0.9 2.942986e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1913 0.9 4.332691e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1914 0.9 2.783184e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1915 0.9 3.153405e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1916 0.9 2.811123e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1917 0.9 3.567780e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1918 0.9 2.797785e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1919 0.9 5.542880e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1920 0.9 2.859696e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1921 0.9 2.101164e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1922 0.9 2.808667e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1923 0.9 3.699381e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1924 0.9 3.041440e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1925 0.9 1.662257e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1926 0.9 2.958853e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1927 0.9 3.468920e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1928 0.9 2.817697e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1929 0.9 4.327160e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1930 0.9 3.077510e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1931 0.9 3.294301e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1932 0.9 2.881411e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1933 0.9 1.390731e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1934 0.9 2.850757e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1935 0.9 3.051682e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1936 0.9 2.752673e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1937 0.9 1.121068e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1938 0.9 2.767686e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1939 0.9 8.731342e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1940 0.9 2.783580e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1941 0.9 2.586216e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1942 0.9 2.788006e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1943 0.9 4.861754e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1944 0.9 2.822949e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1945 0.9 3.718971e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1946 0.9 3.068598e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1947 0.9 4.685338e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1948 0.9 3.321240e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1949 0.9 2.541409e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1950 0.9 2.777852e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1951 0.9 3.780748e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1952 0.9 2.824469e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1953 0.9 1.107467e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1954 0.9 2.931088e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1955 0.9 1.436417e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1956 0.9 3.180353e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1957 0.9 2.847582e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1958 0.9 2.862543e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1959 0.9 3.904309e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1960 0.9 2.735769e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1961 0.9 2.855009e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1962 0.9 2.780748e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1963 0.9 4.913205e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1964 0.9 2.751737e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1965 0.9 2.033363e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1966 0.9 2.821238e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1967 0.9 3.835952e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1968 0.9 2.768415e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1969 0.9 4.686554e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1970 0.9 2.801552e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1971 0.9 1.013170e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1972 0.9 2.754854e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1973 0.9 1.355138e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1974 0.9 2.834074e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1975 0.9 4.804522e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1976 0.9 2.776653e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1977 0.9 4.741549e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1978 0.9 2.780104e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1979 0.9 3.523538e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1980 0.9 2.809219e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1981 0.9 2.564901e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1982 0.9 2.773570e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1983 0.9 2.695435e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1984 0.9 2.772340e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1985 0.9 2.333126e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1986 0.9 2.833335e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1987 0.9 3.571619e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1988 0.9 2.765940e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1989 0.9 3.556103e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1990 0.9 2.838509e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1991 0.9 4.621257e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1992 0.9 2.792296e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1993 0.9 4.674467e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1994 0.9 3.314559e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1995 0.9 1.185598e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1996 0.9 3.240455e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1997 0.9 4.637583e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1998 0.9 2.808024e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1999 0.9 2.842229e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2000 0.9 5.449204e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2001 0.9 4.667278e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2002 0.9 2.825808e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2003 0.9 1.227675e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2004 0.9 2.753820e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2005 0.9 4.896291e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2006 0.9 2.901415e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2007 0.9 2.071421e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2008 0.9 2.851598e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2009 0.9 1.659195e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2010 0.9 2.825960e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2011 0.9 1.398345e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2012 0.9 2.738769e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2013 0.9 2.481836e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2014 0.9 2.760126e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2015 0.9 2.527444e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2016 0.9 2.782851e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2017 0.9 1.436074e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2018 0.9 2.900865e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2019 0.9 2.366048e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2020 0.9 3.112302e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2021 0.9 1.939568e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2022 0.9 3.163334e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2023 0.9 6.394719e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2024 0.9 2.753296e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2025 0.9 3.750765e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2026 0.9 3.024443e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2027 0.9 4.225170e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2028 0.9 3.323013e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2029 0.9 4.277782e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2030 0.9 2.794722e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2031 0.9 9.503659e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2032 0.9 3.153252e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2033 0.9 1.153016e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2034 0.9 2.791724e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2035 0.9 3.634119e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2036 0.9 2.795407e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2037 0.9 4.483332e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2038 0.9 2.914371e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2039 0.9 4.756499e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2040 0.9 2.772664e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2041 0.9 3.360081e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2042 0.9 2.859244e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2043 0.9 4.016850e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2044 0.9 2.857181e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2045 0.9 3.982775e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2046 0.9 3.087106e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2047 0.9 3.443237e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2048 0.9 2.863254e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2049 0.9 3.239047e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2050 0.9 3.300302e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2051 0.9 6.566163e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2052 0.9 3.298248e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2053 0.9 4.847781e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2054 0.9 2.800786e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2055 0.9 4.152059e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2056 0.9 2.887655e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2057 0.9 2.275771e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2058 0.9 3.807727e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2059 0.9 2.649167e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2060 0.9 2.827097e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2061 0.9 3.421188e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2062 0.9 2.870989e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2063 0.9 2.083154e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2064 0.9 2.822745e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2065 0.9 2.826071e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2066 0.9 2.905913e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2067 0.9 2.552526e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2068 0.9 1.269415e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2069 0.9 2.861507e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2070 0.9 3.168889e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2071 0.9 1.112176e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2072 0.9 2.803494e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2073 0.9 1.193210e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2074 0.9 3.277278e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2075 0.9 1.247748e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2076 0.9 2.779143e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2077 0.9 3.810534e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2078 0.9 2.878771e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2079 0.9 8.816413e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2080 0.9 3.310343e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2081 0.9 1.383217e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2082 0.9 2.940530e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2083 0.9 1.721943e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2084 0.9 2.983990e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2085 0.9 1.356503e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2086 0.9 2.971122e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2087 0.9 2.510952e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2088 0.9 3.010852e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2089 0.9 2.688785e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2090 0.9 3.277538e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2091 0.9 3.781321e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2092 0.9 2.726338e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2093 0.9 1.330991e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2094 0.9 2.969169e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2095 0.9 1.331715e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2096 0.9 2.780967e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2097 0.9 2.021095e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2098 0.9 1.275118e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2099 0.9 3.912989e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2100 0.9 3.143182e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2101 0.9 2.127904e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2102 0.9 2.981393e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2103 0.9 4.754380e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2104 0.9 2.782437e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2105 0.9 4.330305e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2106 0.9 2.875308e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2107 0.9 2.626265e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2108 0.9 2.836554e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2109 0.9 2.423641e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2110 0.9 2.896188e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2111 0.9 3.988969e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2112 0.9 3.177868e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2113 0.9 4.272833e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2114 0.9 2.769923e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2115 0.9 1.344493e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2116 0.9 2.814494e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2117 0.9 3.096347e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2118 0.9 2.850655e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2119 0.9 3.721046e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2120 0.9 2.757279e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2121 0.9 1.529162e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2122 0.9 2.796846e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2123 0.9 4.062687e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2124 0.9 2.813608e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2125 0.9 2.374445e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2126 0.9 3.204699e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2127 0.9 1.196554e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2128 0.9 3.176191e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2129 0.9 1.897401e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2130 0.9 2.781811e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2131 0.9 9.140930e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2132 0.9 2.804576e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2133 0.9 4.144452e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2134 0.9 2.806853e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2135 0.9 9.491897e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2136 0.9 3.029945e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2137 0.9 1.222952e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2138 0.9 2.956252e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2139 0.9 1.612907e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2140 0.9 3.088639e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2141 0.9 4.548401e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2142 0.9 2.849060e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2143 0.9 3.386050e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2144 0.9 2.757960e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2145 0.9 3.359356e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2146 0.9 2.766366e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2147 0.9 3.115834e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2148 0.9 2.801241e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2149 0.9 3.845607e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2150 0.9 2.783325e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2151 0.9 2.688183e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2152 0.9 3.146498e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2153 0.9 2.441985e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2154 0.9 2.770940e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2155 0.9 2.365064e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2156 0.9 2.795187e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2157 0.9 1.526234e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2158 0.9 2.977662e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2159 0.9 3.974603e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2160 0.9 3.134906e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2161 0.9 1.213431e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2162 0.9 2.830841e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2163 0.9 2.676209e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2164 0.9 2.801013e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2165 0.9 3.667934e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2166 0.9 2.952083e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2167 0.9 2.565935e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2168 0.9 2.862999e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2169 0.9 3.849295e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2170 0.9 2.921650e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2171 0.9 3.787469e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2172 0.9 2.809585e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2173 0.9 9.826037e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2174 0.9 2.774234e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2175 0.9 7.464982e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2176 0.9 2.824837e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2177 0.9 2.497559e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2178 0.9 8.844601e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2179 0.9 6.626677e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2180 0.9 3.032850e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2181 0.9 1.920281e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2182 0.9 2.842495e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2183 0.9 1.162654e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2184 0.9 2.890155e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2185 0.9 1.475297e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2186 0.9 2.777702e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2187 0.9 1.909400e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2188 0.9 2.797840e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2189 0.9 4.219878e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2190 0.9 2.794010e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2191 0.9 5.397044e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2192 0.9 2.761702e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2193 0.9 6.807103e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2194 0.9 2.819832e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2195 0.9 3.414407e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2196 0.9 3.128010e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2197 0.9 6.530998e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2198 0.9 2.768949e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2199 0.9 1.668808e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2200 0.9 2.825780e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2201 0.9 6.343310e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2202 0.9 2.796155e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2203 0.9 4.791491e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2204 0.9 2.827020e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2205 0.9 7.070759e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2206 0.9 2.882350e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2207 0.9 3.002016e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2208 0.9 5.568531e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2209 0.9 2.473950e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2210 0.9 2.773561e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2211 0.9 2.059090e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2212 0.9 4.928117e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2213 0.9 3.266082e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2214 0.9 2.816191e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2215 0.9 4.925633e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2216 0.9 2.758911e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2217 0.9 2.144559e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2218 0.9 2.949382e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2219 0.9 3.719061e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2220 0.9 2.925460e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2221 0.9 4.571533e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2222 0.9 2.777424e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2223 0.9 3.672853e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2224 0.9 3.139821e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2225 0.9 1.178581e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2226 0.9 2.925325e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2227 0.9 3.213074e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2228 0.9 2.768943e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2229 0.9 8.745633e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2230 0.9 2.914680e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2231 0.9 7.410530e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2232 0.9 2.779994e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2233 0.9 3.467595e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2234 0.9 2.929568e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2235 0.9 4.431103e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2236 0.9 2.786415e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2237 0.9 3.934908e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2238 0.9 3.117202e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2239 0.9 5.817408e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2240 0.9 3.181487e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2241 0.9 2.029645e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2242 0.9 2.878833e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2243 0.9 1.185201e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2244 0.9 2.801620e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2245 0.9 3.452100e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2246 0.9 2.849245e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2247 0.9 1.491475e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2248 0.9 2.806772e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2249 0.9 1.242424e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2250 0.9 3.051543e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2251 0.9 2.437360e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2252 0.9 2.898153e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2253 0.9 3.709624e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2254 0.9 2.921822e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2255 0.9 7.546030e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2256 0.9 2.728296e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2257 0.9 1.243150e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2258 0.9 2.770825e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2259 0.9 3.402034e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2260 0.9 3.006725e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2261 0.9 3.262180e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2262 0.9 2.848972e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2263 0.9 4.447974e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2264 0.9 2.811623e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2265 0.9 1.616202e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2266 0.9 2.803493e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2267 0.9 4.719442e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2268 0.9 3.024952e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2269 0.9 3.239861e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2270 0.9 2.765039e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2271 0.9 1.353071e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2272 0.9 3.083814e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2273 0.9 3.459043e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2274 0.9 2.884441e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2275 0.9 1.734518e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2276 0.9 2.864240e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2277 0.9 4.829739e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2278 0.9 2.953170e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2279 0.9 3.054955e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2280 0.9 2.820746e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2281 0.9 4.146796e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2282 0.9 2.895134e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2283 0.9 2.527654e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2284 0.9 2.912338e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2285 0.9 2.152214e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2286 0.9 2.792440e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2287 0.9 1.703224e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2288 0.9 2.926355e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2289 0.9 3.734307e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2290 0.9 2.787845e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2291 0.9 4.560662e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2292 0.9 3.061795e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2293 0.9 1.844682e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2294 0.9 2.909258e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2295 0.9 2.402136e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2296 0.9 3.000959e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2297 0.9 4.594240e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2298 0.9 3.448777e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2299 0.9 2.054426e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2300 0.9 2.811626e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2301 0.9 3.466793e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2302 0.9 2.769643e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2303 0.9 8.470258e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2304 0.9 2.932200e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2305 0.9 4.577659e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2306 0.9 2.758622e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2307 0.9 2.857420e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2308 0.9 2.776698e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2309 0.9 4.744450e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2310 0.9 2.798390e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2311 0.9 7.532416e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2312 0.9 2.778232e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2313 0.9 4.686113e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2314 0.9 3.044662e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2315 0.9 4.762002e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2316 0.9 3.159264e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2317 0.9 3.107078e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2318 0.9 2.806939e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2319 0.9 2.829374e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2320 0.9 2.801882e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2321 0.9 1.180108e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2322 0.9 4.946871e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2323 0.9 8.608032e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2324 0.9 2.907497e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2325 0.9 1.084369e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2326 0.9 2.896598e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2327 0.9 2.617655e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2328 0.9 3.002246e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2329 0.9 3.127417e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2330 0.9 3.395086e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2331 0.9 3.250570e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2332 0.9 3.149803e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2333 0.9 1.735020e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2334 0.9 2.797964e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2335 0.9 3.823294e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2336 0.9 2.803727e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2337 0.9 1.038906e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2338 0.9 2.788654e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2339 0.9 9.244817e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2340 0.9 2.906083e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2341 0.9 2.282213e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2342 0.9 2.928803e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2343 0.9 3.942689e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2344 0.9 3.066483e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2345 0.9 2.188874e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2346 0.9 3.242771e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2347 0.9 1.287450e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2348 0.9 2.981367e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2349 0.9 2.810165e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2350 0.9 5.130097e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2351 0.9 3.660550e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2352 0.9 2.973775e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2353 0.9 1.430193e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2354 0.9 2.785995e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2355 0.9 2.509423e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2356 0.9 2.794462e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2357 0.9 1.003281e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2358 0.9 2.765811e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2359 0.9 4.538762e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2360 0.9 2.882693e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2361 0.9 1.810657e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2362 0.9 2.757527e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2363 0.9 2.380387e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2364 0.9 2.753868e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2365 0.9 2.278109e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2366 0.9 2.817829e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2367 0.9 6.818123e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2368 0.9 4.506542e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2369 0.9 3.422592e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2370 0.9 2.922366e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2371 0.9 4.617893e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2372 0.9 2.753607e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2373 0.9 3.242121e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2374 0.9 2.796819e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2375 0.9 4.554351e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2376 0.9 2.926799e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2377 0.9 4.209044e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2378 0.9 3.280093e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2379 0.9 4.977494e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2380 0.9 3.127160e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2381 0.9 4.635786e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2382 0.9 2.819186e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2383 0.9 1.619297e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2384 0.9 2.767113e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2385 0.9 3.270270e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2386 0.9 2.815790e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2387 0.9 1.044735e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2388 0.9 2.837517e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2389 0.9 1.352578e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2390 0.9 3.240188e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2391 0.9 3.326277e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2392 0.9 2.873898e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2393 0.9 4.546806e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2394 0.9 2.856723e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2395 0.9 1.689286e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2396 0.9 2.810830e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2397 0.9 3.603668e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2398 0.9 3.441159e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2399 0.9 2.323833e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2400 0.9 2.775398e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2401 0.9 4.801715e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2402 0.9 3.225771e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2403 0.9 2.170258e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2404 0.9 4.890313e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2405 0.9 4.546309e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2406 0.9 3.109396e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2407 0.9 2.693482e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2408 0.9 2.877845e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2409 0.9 3.746876e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2410 0.9 2.802406e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2411 0.9 2.544040e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2412 0.9 2.782702e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2413 0.9 4.017534e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2414 0.9 2.834017e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2415 0.9 4.260617e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2416 0.9 3.069879e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2417 0.9 4.251876e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2418 0.9 2.812191e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2419 0.9 2.342788e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2420 0.9 2.827338e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2421 0.9 1.170101e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2422 0.9 5.013174e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2423 0.9 1.879942e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2424 0.9 3.096377e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2425 0.9 3.154084e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2426 0.9 2.814269e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2427 0.9 4.506202e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2428 0.9 2.794740e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2429 0.9 4.263950e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2430 0.9 2.761261e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2431 0.9 4.007139e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2432 0.9 2.795400e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2433 0.9 2.241898e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2434 0.9 2.969295e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2435 0.9 2.949120e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2436 0.9 2.767005e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2437 0.9 2.769819e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2438 0.9 2.929217e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2439 0.9 1.788096e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2440 0.9 2.866466e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2441 0.9 1.587213e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2442 0.9 6.219252e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2443 0.9 4.554848e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2444 0.9 2.800846e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2445 0.9 1.819883e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2446 0.9 2.838163e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2447 0.9 3.395673e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2448 0.9 2.889630e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2449 0.9 1.733756e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2450 0.9 2.875125e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2451 0.9 3.203139e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2452 0.9 2.959129e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2453 0.9 3.517906e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2454 0.9 3.170999e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2455 0.9 9.084055e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2456 0.9 2.795279e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2457 0.9 9.506785e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2458 0.9 2.790886e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2459 0.9 1.719297e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2460 0.9 2.898011e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2461 0.9 2.722124e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2462 0.9 2.780384e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2463 0.9 2.238327e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2464 0.9 2.876126e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2465 0.9 1.219333e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2466 0.9 2.783816e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2467 0.9 1.710436e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2468 0.9 2.792876e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2469 0.9 2.907022e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2470 0.9 2.940342e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2471 0.9 4.427723e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2472 0.9 2.855381e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2473 0.9 4.905944e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2474 0.9 2.794917e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2475 0.9 1.079864e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2476 0.9 2.937719e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2477 0.9 7.919017e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2478 0.9 2.773623e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2479 0.9 4.142966e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2480 0.9 2.909911e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2481 0.9 4.585642e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2482 0.9 2.781130e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2483 0.9 4.367997e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2484 0.9 2.807870e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2485 0.9 4.951244e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2486 0.9 2.729636e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2487 0.9 2.931680e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2488 0.9 2.795121e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2489 0.9 6.247132e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2490 0.9 3.043665e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2491 0.9 1.478859e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2492 0.9 3.386447e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2493 0.9 4.896327e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2494 0.9 2.752337e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2495 0.9 4.112946e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2496 0.9 2.850028e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2497 0.9 2.971368e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2498 0.9 2.760155e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2499 0.9 4.663519e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2500 0.9 2.770239e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2501 0.9 3.079617e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2502 0.9 2.795985e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2503 0.9 3.551560e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2504 0.9 2.936711e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2505 0.9 2.792921e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2506 0.9 2.812066e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2507 0.9 4.522590e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2508 0.9 2.931703e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2509 0.9 2.022858e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2510 0.9 2.861548e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2511 0.9 4.368839e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2512 0.9 2.788361e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2513 0.9 2.344742e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2514 0.9 2.983232e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2515 0.9 3.534441e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2516 0.9 2.770893e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2517 0.9 1.677048e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2518 0.9 2.777656e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2519 0.9 1.569678e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2520 0.9 2.748277e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2521 0.9 4.330767e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2522 0.9 2.973358e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2523 0.9 4.908590e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2524 0.9 2.780549e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2525 0.9 1.218576e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2526 0.9 2.800381e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2527 0.9 3.726330e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2528 0.9 4.383440e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2529 0.9 2.273071e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2530 0.9 2.753112e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2531 0.9 2.446083e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2532 0.9 2.827066e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2533 0.9 2.766140e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2534 0.9 3.181265e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2535 0.9 2.302683e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2536 0.9 2.879708e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2537 0.9 1.999907e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2538 0.9 2.771207e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2539 0.9 4.720757e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2540 0.9 2.778701e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2541 0.9 1.778665e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2542 0.9 2.803243e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2543 0.9 2.533195e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2544 0.9 2.802273e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2545 0.9 3.414681e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2546 0.9 3.067652e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2547 0.9 2.656920e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2548 0.9 2.846847e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2549 0.9 3.287307e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2550 0.9 3.201488e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2551 0.9 1.737928e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2552 0.9 2.801690e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2553 0.9 2.287162e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2554 0.9 2.875778e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2555 0.9 1.228364e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2556 0.9 3.172745e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2557 0.9 4.412370e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2558 0.9 3.304285e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2559 0.9 3.148597e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2560 0.9 2.972934e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2561 0.9 9.549798e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2562 0.9 3.003143e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2563 0.9 4.052418e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2564 0.9 2.741170e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2565 0.9 1.874027e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2566 0.9 2.795005e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2567 0.9 3.929822e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2568 0.9 2.810971e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2569 0.9 3.488778e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2570 0.9 2.747309e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2571 0.9 1.008336e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2572 0.9 2.825384e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2573 0.9 3.553872e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2574 0.9 2.759654e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2575 0.9 4.084315e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2576 0.9 2.810190e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2577 0.9 2.229098e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2578 0.9 3.162576e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2579 0.9 2.724520e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2580 0.9 2.809455e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2581 0.9 1.533488e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2582 0.9 2.771341e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2583 0.9 1.944361e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2584 0.9 3.093931e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2585 0.9 2.063338e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2586 0.9 2.754808e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2587 0.9 3.443891e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2588 0.9 3.014257e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2589 0.9 2.934421e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2590 0.9 2.774903e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2591 0.9 2.987124e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2592 0.9 2.875735e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2593 0.9 3.238017e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2594 0.9 2.777853e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2595 0.9 2.118546e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2596 0.9 2.857708e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2597 0.9 2.311611e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2598 0.9 2.773274e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2599 0.9 4.787257e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2600 0.9 2.889808e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2601 0.9 2.378488e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2602 0.9 2.977445e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2603 0.9 9.215980e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2604 0.9 2.814806e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2605 0.9 3.580941e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2606 0.9 6.266009e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2607 0.9 2.381912e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2608 0.9 2.755638e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2609 0.9 1.034288e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2610 0.9 6.090091e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2611 0.9 2.714855e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2612 0.9 2.786321e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2613 0.9 7.646898e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2614 0.9 3.055668e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2615 0.9 1.124505e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2616 0.9 3.234614e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2617 0.9 4.474531e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2618 0.9 2.782397e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2619 0.9 1.674465e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2620 0.9 2.788960e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2621 0.9 1.252950e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2622 0.9 2.747899e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2623 0.9 4.652934e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2624 0.9 2.801899e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2625 0.9 4.004078e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2626 0.9 2.781996e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2627 0.9 3.293392e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2628 0.9 3.066589e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2629 0.9 2.288856e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2630 0.9 2.768423e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2631 0.9 8.597506e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2632 0.9 3.050745e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2633 0.9 2.969351e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2634 0.9 2.788054e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2635 0.9 2.361618e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2636 0.9 2.904342e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2637 0.9 1.739147e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2638 0.9 2.970991e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2639 0.9 2.326896e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2640 0.9 2.824852e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2641 0.9 7.610797e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2642 0.9 3.099032e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2643 0.9 6.419844e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2644 0.9 2.793428e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2645 0.9 4.656299e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2646 0.9 3.167028e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2647 0.9 3.960074e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2648 0.9 2.739025e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2649 0.9 3.292543e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2650 0.9 2.822848e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2651 0.9 1.093278e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2652 0.9 2.995601e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2653 0.9 2.371833e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2654 0.9 2.973554e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2655 0.9 3.203396e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2656 0.9 1.265895e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2657 0.9 2.582548e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2658 0.9 2.885358e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2659 0.9 7.568063e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2660 0.9 2.892847e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2661 0.9 4.137271e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2662 0.9 5.392570e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2663 0.9 4.272597e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2664 0.9 2.774104e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2665 0.9 2.316010e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2666 0.9 3.606945e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2667 0.9 1.601200e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2668 0.9 2.793564e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2669 0.9 4.674771e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2670 0.9 2.771726e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2671 0.9 6.137152e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2672 0.9 3.017192e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2673 0.9 3.792412e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2674 0.9 3.191052e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2675 0.9 2.263125e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2676 0.9 2.804105e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2677 0.9 2.805042e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2678 0.9 2.838883e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2679 0.9 4.595689e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2680 0.9 2.918835e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2681 0.9 6.583745e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2682 0.9 2.875244e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2683 0.9 3.013955e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2684 0.9 2.814250e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2685 0.9 7.489623e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2686 0.9 2.960737e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2687 0.9 4.606978e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2688 0.9 2.789946e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2689 0.9 7.463221e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2690 0.9 2.807179e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2691 0.9 2.998875e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2692 0.9 3.217325e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2693 0.9 3.848006e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2694 0.9 2.864177e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2695 0.9 3.727671e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2696 0.9 2.824398e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2697 0.9 8.899958e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2698 0.9 2.812723e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2699 0.9 3.219618e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2700 0.9 3.094878e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2701 0.9 2.020630e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2702 0.9 5.699323e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## g_F sigma_epsilon G_w_y_scaling msg iter_num param_index
## 1 0.1162005 109.1121 0.162 start 1 1
## 2 0.1162005 109.1121 0.162 mif1 1 1
## 3 0.1162005 109.1121 0.162 start 2 1
## 4 0.1162005 109.1121 0.162 mif1 2 1
## 5 0.1162005 109.1121 0.162 start 3 1
## 6 0.1162005 109.1121 0.162 mif1 3 1
## 7 0.1162005 109.1121 0.162 start 4 1
## 8 0.1162005 109.1121 0.162 mif1 4 1
## 9 0.1162005 109.1121 0.162 start 5 1
## 10 0.1162005 109.1121 0.162 mif1 5 1
## 11 0.1162005 109.1121 0.162 start 6 1
## 12 0.1162005 109.1121 0.162 mif1 6 1
## 13 0.1162005 109.1121 0.162 start 7 1
## 14 0.1162005 109.1121 0.162 mif1 7 1
## 15 0.1162005 109.1121 0.162 start 8 1
## 16 0.1162005 109.1121 0.162 mif1 8 1
## 17 0.1162005 109.1121 0.162 start 9 1
## 18 0.1162005 109.1121 0.162 mif1 9 1
## 19 0.1162005 109.1121 0.162 start 10 1
## 20 0.1162005 109.1121 0.162 mif1 10 1
## 21 0.1162005 109.1121 0.162 start 11 1
## 22 0.1162005 109.1121 0.162 mif1 11 1
## 23 0.1162005 109.1121 0.162 start 12 1
## 24 0.1162005 109.1121 0.162 mif1 12 1
## 25 0.1162005 109.1121 0.162 start 13 1
## 26 0.1162005 109.1121 0.162 mif1 13 1
## 27 0.1162005 109.1121 0.162 start 14 1
## 28 0.1162005 109.1121 0.162 mif1 14 1
## 29 0.1162005 109.1121 0.162 start 15 1
## 30 0.1162005 109.1121 0.162 mif1 15 1
## 31 0.1162005 109.1121 0.162 start 16 1
## 32 0.1162005 109.1121 0.162 mif1 16 1
## 33 0.1162005 109.1121 0.162 start 17 1
## 34 0.1162005 109.1121 0.162 mif1 17 1
## 35 0.1162005 109.1121 0.162 start 18 1
## 36 0.1162005 109.1121 0.162 mif1 18 1
## 37 0.1162005 109.1121 0.162 start 19 1
## 38 0.1162005 109.1121 0.162 mif1 19 1
## 39 0.1162005 109.1121 0.162 start 20 1
## 40 0.1162005 109.1121 0.162 mif1 20 1
## 41 0.1162005 109.1121 0.162 start 21 1
## 42 0.1162005 109.1121 0.162 mif1 21 1
## 43 0.1162005 109.1121 0.162 start 22 1
## 44 0.1162005 109.1121 0.162 mif1 22 1
## 45 0.1162005 109.1121 0.162 start 23 1
## 46 0.1162005 109.1121 0.162 mif1 23 1
## 47 0.1162005 109.1121 0.162 start 24 1
## 48 0.1162005 109.1121 0.162 mif1 24 1
## 49 0.1162005 109.1121 0.162 start 25 1
## 50 0.1162005 109.1121 0.162 mif1 25 1
## 51 0.1162005 109.1121 0.162 start 26 1
## 52 0.1162005 109.1121 0.162 mif1 26 1
## 53 0.1162005 109.1121 0.162 start 27 1
## 54 0.1162005 109.1121 0.162 mif1 27 1
## 55 0.1162005 109.1121 0.162 start 28 1
## 56 0.1162005 109.1121 0.162 mif1 28 1
## 57 0.1162005 109.1121 0.162 start 29 1
## 58 0.1162005 109.1121 0.162 mif1 29 1
## 59 0.1162005 109.1121 0.162 start 30 1
## 60 0.1162005 109.1121 0.162 mif1 30 1
## 61 0.1162005 109.1121 0.162 start 31 1
## 62 0.1162005 109.1121 0.162 mif1 31 1
## 63 0.1162005 109.1121 0.162 start 32 1
## 64 0.1162005 109.1121 0.162 mif1 32 1
## 65 0.1162005 109.1121 0.162 start 33 1
## 66 0.1162005 109.1121 0.162 mif1 33 1
## 67 0.1162005 109.1121 0.162 start 34 1
## 68 0.1162005 109.1121 0.162 mif1 34 1
## 69 0.1162005 109.1121 0.162 start 35 1
## 70 0.1162005 109.1121 0.162 mif1 35 1
## 71 0.1162005 109.1121 0.162 start 36 1
## 72 0.1162005 109.1121 0.162 mif1 36 1
## 73 0.1162005 109.1121 0.162 start 37 1
## 74 0.1162005 109.1121 0.162 mif1 37 1
## 75 0.1162005 109.1121 0.162 start 38 1
## 76 0.1162005 109.1121 0.162 mif1 38 1
## 77 0.1162005 109.1121 0.162 start 39 1
## 78 0.1162005 109.1121 0.162 mif1 39 1
## 79 0.1162005 109.1121 0.162 start 40 1
## 80 0.1162005 109.1121 0.162 mif1 40 1
## 81 0.1162005 109.1121 0.162 start 41 1
## 82 0.1162005 109.1121 0.162 mif1 41 1
## 83 0.1162005 109.1121 0.162 start 42 1
## 84 0.1162005 109.1121 0.162 mif1 42 1
## 85 0.1162005 109.1121 0.162 start 43 1
## 86 0.1162005 109.1121 0.162 mif1 43 1
## 87 0.1162005 109.1121 0.162 start 44 1
## 88 0.1162005 109.1121 0.162 mif1 44 1
## 89 0.1162005 109.1121 0.162 start 45 1
## 90 0.1162005 109.1121 0.162 mif1 45 1
## 91 0.1162005 109.1121 0.162 start 46 1
## 92 0.1162005 109.1121 0.162 mif1 46 1
## 93 0.1162005 109.1121 0.162 start 47 1
## 94 0.1162005 109.1121 0.162 mif1 47 1
## 95 0.1162005 109.1121 0.162 start 48 1
## 96 0.1162005 109.1121 0.162 mif1 48 1
## 97 0.1162005 109.1121 0.162 start 49 1
## 98 0.1162005 109.1121 0.162 mif1 49 1
## 99 0.1162005 109.1121 0.162 start 50 1
## 100 0.1162005 109.1121 0.162 mif1 50 1
## 101 0.1162005 109.1121 0.162 start 1 2
## 102 0.1162005 109.1121 0.162 mif1 1 2
## 103 0.1162005 109.1121 0.162 start 2 2
## 104 0.1162005 109.1121 0.162 mif1 2 2
## 105 0.1162005 109.1121 0.162 start 3 2
## 106 0.1162005 109.1121 0.162 mif1 3 2
## 107 0.1162005 109.1121 0.162 start 4 2
## 108 0.1162005 109.1121 0.162 mif1 4 2
## 109 0.1162005 109.1121 0.162 start 5 2
## 110 0.1162005 109.1121 0.162 mif1 5 2
## 111 0.1162005 109.1121 0.162 start 6 2
## 112 0.1162005 109.1121 0.162 mif1 6 2
## 113 0.1162005 109.1121 0.162 start 7 2
## 114 0.1162005 109.1121 0.162 mif1 7 2
## 115 0.1162005 109.1121 0.162 start 8 2
## 116 0.1162005 109.1121 0.162 mif1 8 2
## 117 0.1162005 109.1121 0.162 start 9 2
## 118 0.1162005 109.1121 0.162 mif1 9 2
## 119 0.1162005 109.1121 0.162 start 10 2
## 120 0.1162005 109.1121 0.162 mif1 10 2
## 121 0.1162005 109.1121 0.162 start 11 2
## 122 0.1162005 109.1121 0.162 mif1 11 2
## 123 0.1162005 109.1121 0.162 start 12 2
## 124 0.1162005 109.1121 0.162 mif1 12 2
## 125 0.1162005 109.1121 0.162 start 13 2
## 126 0.1162005 109.1121 0.162 mif1 13 2
## 127 0.1162005 109.1121 0.162 start 14 2
## 128 0.1162005 109.1121 0.162 mif1 14 2
## 129 0.1162005 109.1121 0.162 start 15 2
## 130 0.1162005 109.1121 0.162 mif1 15 2
## 131 0.1162005 109.1121 0.162 start 16 2
## 132 0.1162005 109.1121 0.162 mif1 16 2
## 133 0.1162005 109.1121 0.162 start 17 2
## 134 0.1162005 109.1121 0.162 mif1 17 2
## 135 0.1162005 109.1121 0.162 start 18 2
## 136 0.1162005 109.1121 0.162 mif1 18 2
## 137 0.1162005 109.1121 0.162 start 19 2
## 138 0.1162005 109.1121 0.162 mif1 19 2
## 139 0.1162005 109.1121 0.162 start 20 2
## 140 0.1162005 109.1121 0.162 mif1 20 2
## 141 0.1162005 109.1121 0.162 start 21 2
## 142 0.1162005 109.1121 0.162 mif1 21 2
## 143 0.1162005 109.1121 0.162 start 22 2
## 144 0.1162005 109.1121 0.162 mif1 22 2
## 145 0.1162005 109.1121 0.162 start 23 2
## 146 0.1162005 109.1121 0.162 mif1 23 2
## 147 0.1162005 109.1121 0.162 start 24 2
## 148 0.1162005 109.1121 0.162 mif1 24 2
## 149 0.1162005 109.1121 0.162 start 25 2
## 150 0.1162005 109.1121 0.162 mif1 25 2
## 151 0.1162005 109.1121 0.162 start 26 2
## 152 0.1162005 109.1121 0.162 mif1 26 2
## 153 0.1162005 109.1121 0.162 start 27 2
## 154 0.1162005 109.1121 0.162 mif1 27 2
## 155 0.1162005 109.1121 0.162 start 28 2
## 156 0.1162005 109.1121 0.162 mif1 28 2
## 157 0.1162005 109.1121 0.162 start 29 2
## 158 0.1162005 109.1121 0.162 mif1 29 2
## 159 0.1162005 109.1121 0.162 start 30 2
## 160 0.1162005 109.1121 0.162 mif1 30 2
## 161 0.1162005 109.1121 0.162 start 31 2
## 162 0.1162005 109.1121 0.162 mif1 31 2
## 163 0.1162005 109.1121 0.162 start 32 2
## 164 0.1162005 109.1121 0.162 mif1 32 2
## 165 0.1162005 109.1121 0.162 start 33 2
## 166 0.1162005 109.1121 0.162 mif1 33 2
## 167 0.1162005 109.1121 0.162 start 34 2
## 168 0.1162005 109.1121 0.162 mif1 34 2
## 169 0.1162005 109.1121 0.162 start 35 2
## 170 0.1162005 109.1121 0.162 mif1 35 2
## 171 0.1162005 109.1121 0.162 start 36 2
## 172 0.1162005 109.1121 0.162 mif1 36 2
## 173 0.1162005 109.1121 0.162 start 37 2
## 174 0.1162005 109.1121 0.162 mif1 37 2
## 175 0.1162005 109.1121 0.162 start 38 2
## 176 0.1162005 109.1121 0.162 mif1 38 2
## 177 0.1162005 109.1121 0.162 start 39 2
## 178 0.1162005 109.1121 0.162 mif1 39 2
## 179 0.1162005 109.1121 0.162 start 40 2
## 180 0.1162005 109.1121 0.162 mif1 40 2
## 181 0.1162005 109.1121 0.162 start 41 2
## 182 0.1162005 109.1121 0.162 mif1 41 2
## 183 0.1162005 109.1121 0.162 start 42 2
## 184 0.1162005 109.1121 0.162 mif1 42 2
## 185 0.1162005 109.1121 0.162 start 43 2
## 186 0.1162005 109.1121 0.162 mif1 43 2
## 187 0.1162005 109.1121 0.162 start 44 2
## 188 0.1162005 109.1121 0.162 mif1 44 2
## 189 0.1162005 109.1121 0.162 start 45 2
## 190 0.1162005 109.1121 0.162 mif1 45 2
## 191 0.1162005 109.1121 0.162 start 46 2
## 192 0.1162005 109.1121 0.162 mif1 46 2
## 193 0.1162005 109.1121 0.162 start 47 2
## 194 0.1162005 109.1121 0.162 mif1 47 2
## 195 0.1162005 109.1121 0.162 start 48 2
## 196 0.1162005 109.1121 0.162 mif1 48 2
## 197 0.1162005 109.1121 0.162 start 49 2
## 198 0.1162005 109.1121 0.162 mif1 49 2
## 199 0.1162005 109.1121 0.162 start 50 2
## 200 0.1162005 109.1121 0.162 mif1 50 2
## 201 0.1162005 109.1121 0.162 start 1 3
## 202 0.1162005 109.1121 0.162 mif1 1 3
## 203 0.1162005 109.1121 0.162 start 2 3
## 204 0.1162005 109.1121 0.162 mif1 2 3
## 205 0.1162005 109.1121 0.162 start 3 3
## 206 0.1162005 109.1121 0.162 mif1 3 3
## 207 0.1162005 109.1121 0.162 start 4 3
## 208 0.1162005 109.1121 0.162 mif1 4 3
## 209 0.1162005 109.1121 0.162 start 5 3
## 210 0.1162005 109.1121 0.162 mif1 5 3
## 211 0.1162005 109.1121 0.162 start 6 3
## 212 0.1162005 109.1121 0.162 mif1 6 3
## 213 0.1162005 109.1121 0.162 start 7 3
## 214 0.1162005 109.1121 0.162 mif1 7 3
## 215 0.1162005 109.1121 0.162 start 8 3
## 216 0.1162005 109.1121 0.162 mif1 8 3
## 217 0.1162005 109.1121 0.162 start 9 3
## 218 0.1162005 109.1121 0.162 mif1 9 3
## 219 0.1162005 109.1121 0.162 start 10 3
## 220 0.1162005 109.1121 0.162 mif1 10 3
## 221 0.1162005 109.1121 0.162 start 11 3
## 222 0.1162005 109.1121 0.162 mif1 11 3
## 223 0.1162005 109.1121 0.162 start 12 3
## 224 0.1162005 109.1121 0.162 mif1 12 3
## 225 0.1162005 109.1121 0.162 start 13 3
## 226 0.1162005 109.1121 0.162 mif1 13 3
## 227 0.1162005 109.1121 0.162 start 14 3
## 228 0.1162005 109.1121 0.162 mif1 14 3
## 229 0.1162005 109.1121 0.162 start 15 3
## 230 0.1162005 109.1121 0.162 mif1 15 3
## 231 0.1162005 109.1121 0.162 start 16 3
## 232 0.1162005 109.1121 0.162 mif1 16 3
## 233 0.1162005 109.1121 0.162 start 17 3
## 234 0.1162005 109.1121 0.162 mif1 17 3
## 235 0.1162005 109.1121 0.162 start 18 3
## 236 0.1162005 109.1121 0.162 mif1 18 3
## 237 0.1162005 109.1121 0.162 start 19 3
## 238 0.1162005 109.1121 0.162 mif1 19 3
## 239 0.1162005 109.1121 0.162 start 20 3
## 240 0.1162005 109.1121 0.162 mif1 20 3
## 241 0.1162005 109.1121 0.162 start 21 3
## 242 0.1162005 109.1121 0.162 mif1 21 3
## 243 0.1162005 109.1121 0.162 start 22 3
## 244 0.1162005 109.1121 0.162 mif1 22 3
## 245 0.1162005 109.1121 0.162 start 23 3
## 246 0.1162005 109.1121 0.162 mif1 23 3
## 247 0.1162005 109.1121 0.162 start 24 3
## 248 0.1162005 109.1121 0.162 mif1 24 3
## 249 0.1162005 109.1121 0.162 start 25 3
## 250 0.1162005 109.1121 0.162 mif1 25 3
## 251 0.1162005 109.1121 0.162 start 26 3
## 252 0.1162005 109.1121 0.162 mif1 26 3
## 253 0.1162005 109.1121 0.162 start 27 3
## 254 0.1162005 109.1121 0.162 mif1 27 3
## 255 0.1162005 109.1121 0.162 start 28 3
## 256 0.1162005 109.1121 0.162 mif1 28 3
## 257 0.1162005 109.1121 0.162 start 29 3
## 258 0.1162005 109.1121 0.162 mif1 29 3
## 259 0.1162005 109.1121 0.162 start 30 3
## 260 0.1162005 109.1121 0.162 mif1 30 3
## 261 0.1162005 109.1121 0.162 start 31 3
## 262 0.1162005 109.1121 0.162 mif1 31 3
## 263 0.1162005 109.1121 0.162 start 32 3
## 264 0.1162005 109.1121 0.162 mif1 32 3
## 265 0.1162005 109.1121 0.162 start 33 3
## 266 0.1162005 109.1121 0.162 mif1 33 3
## 267 0.1162005 109.1121 0.162 start 34 3
## 268 0.1162005 109.1121 0.162 mif1 34 3
## 269 0.1162005 109.1121 0.162 start 35 3
## 270 0.1162005 109.1121 0.162 mif1 35 3
## 271 0.1162005 109.1121 0.162 start 36 3
## 272 0.1162005 109.1121 0.162 mif1 36 3
## 273 0.1162005 109.1121 0.162 start 37 3
## 274 0.1162005 109.1121 0.162 mif1 37 3
## 275 0.1162005 109.1121 0.162 start 38 3
## 276 0.1162005 109.1121 0.162 mif1 38 3
## 277 0.1162005 109.1121 0.162 start 39 3
## 278 0.1162005 109.1121 0.162 mif1 39 3
## 279 0.1162005 109.1121 0.162 start 40 3
## 280 0.1162005 109.1121 0.162 mif1 40 3
## 281 0.1162005 109.1121 0.162 start 41 3
## 282 0.1162005 109.1121 0.162 mif1 41 3
## 283 0.1162005 109.1121 0.162 start 42 3
## 284 0.1162005 109.1121 0.162 mif1 42 3
## 285 0.1162005 109.1121 0.162 start 43 3
## 286 0.1162005 109.1121 0.162 mif1 43 3
## 287 0.1162005 109.1121 0.162 start 44 3
## 288 0.1162005 109.1121 0.162 mif1 44 3
## 289 0.1162005 109.1121 0.162 start 45 3
## 290 0.1162005 109.1121 0.162 mif1 45 3
## 291 0.1162005 109.1121 0.162 start 46 3
## 292 0.1162005 109.1121 0.162 mif1 46 3
## 293 0.1162005 109.1121 0.162 start 47 3
## 294 0.1162005 109.1121 0.162 mif1 47 3
## 295 0.1162005 109.1121 0.162 start 48 3
## 296 0.1162005 109.1121 0.162 mif1 48 3
## 297 0.1162005 109.1121 0.162 start 49 3
## 298 0.1162005 109.1121 0.162 mif1 49 3
## 299 0.1162005 109.1121 0.162 start 50 3
## 300 0.1162005 109.1121 0.162 mif1 50 3
## 301 0.1162005 109.1121 0.162 start 1 4
## 302 0.1162005 109.1121 0.162 mif1 1 4
## 303 0.1162005 109.1121 0.162 start 2 4
## 304 0.1162005 109.1121 0.162 mif1 2 4
## 305 0.1162005 109.1121 0.162 start 3 4
## 306 0.1162005 109.1121 0.162 mif1 3 4
## 307 0.1162005 109.1121 0.162 start 4 4
## 308 0.1162005 109.1121 0.162 mif1 4 4
## 309 0.1162005 109.1121 0.162 start 5 4
## 310 0.1162005 109.1121 0.162 mif1 5 4
## 311 0.1162005 109.1121 0.162 start 6 4
## 312 0.1162005 109.1121 0.162 mif1 6 4
## 313 0.1162005 109.1121 0.162 start 7 4
## 314 0.1162005 109.1121 0.162 mif1 7 4
## 315 0.1162005 109.1121 0.162 start 8 4
## 316 0.1162005 109.1121 0.162 mif1 8 4
## 317 0.1162005 109.1121 0.162 start 9 4
## 318 0.1162005 109.1121 0.162 mif1 9 4
## 319 0.1162005 109.1121 0.162 start 10 4
## 320 0.1162005 109.1121 0.162 mif1 10 4
## 321 0.1162005 109.1121 0.162 start 11 4
## 322 0.1162005 109.1121 0.162 mif1 11 4
## 323 0.1162005 109.1121 0.162 start 12 4
## 324 0.1162005 109.1121 0.162 mif1 12 4
## 325 0.1162005 109.1121 0.162 start 13 4
## 326 0.1162005 109.1121 0.162 mif1 13 4
## 327 0.1162005 109.1121 0.162 start 14 4
## 328 0.1162005 109.1121 0.162 mif1 14 4
## 329 0.1162005 109.1121 0.162 start 15 4
## 330 0.1162005 109.1121 0.162 mif1 15 4
## 331 0.1162005 109.1121 0.162 start 16 4
## 332 0.1162005 109.1121 0.162 mif1 16 4
## 333 0.1162005 109.1121 0.162 start 17 4
## 334 0.1162005 109.1121 0.162 mif1 17 4
## 335 0.1162005 109.1121 0.162 start 18 4
## 336 0.1162005 109.1121 0.162 mif1 18 4
## 337 0.1162005 109.1121 0.162 start 19 4
## 338 0.1162005 109.1121 0.162 mif1 19 4
## 339 0.1162005 109.1121 0.162 start 20 4
## 340 0.1162005 109.1121 0.162 mif1 20 4
## 341 0.1162005 109.1121 0.162 start 21 4
## 342 0.1162005 109.1121 0.162 mif1 21 4
## 343 0.1162005 109.1121 0.162 start 22 4
## 344 0.1162005 109.1121 0.162 mif1 22 4
## 345 0.1162005 109.1121 0.162 start 23 4
## 346 0.1162005 109.1121 0.162 mif1 23 4
## 347 0.1162005 109.1121 0.162 start 24 4
## 348 0.1162005 109.1121 0.162 mif1 24 4
## 349 0.1162005 109.1121 0.162 start 25 4
## 350 0.1162005 109.1121 0.162 mif1 25 4
## 351 0.1162005 109.1121 0.162 start 26 4
## 352 0.1162005 109.1121 0.162 mif1 26 4
## 353 0.1162005 109.1121 0.162 start 27 4
## 354 0.1162005 109.1121 0.162 mif1 27 4
## 355 0.1162005 109.1121 0.162 start 28 4
## 356 0.1162005 109.1121 0.162 mif1 28 4
## 357 0.1162005 109.1121 0.162 start 29 4
## 358 0.1162005 109.1121 0.162 mif1 29 4
## 359 0.1162005 109.1121 0.162 start 30 4
## 360 0.1162005 109.1121 0.162 mif1 30 4
## 361 0.1162005 109.1121 0.162 start 31 4
## 362 0.1162005 109.1121 0.162 mif1 31 4
## 363 0.1162005 109.1121 0.162 start 32 4
## 364 0.1162005 109.1121 0.162 mif1 32 4
## 365 0.1162005 109.1121 0.162 start 33 4
## 366 0.1162005 109.1121 0.162 mif1 33 4
## 367 0.1162005 109.1121 0.162 start 34 4
## 368 0.1162005 109.1121 0.162 mif1 34 4
## 369 0.1162005 109.1121 0.162 start 35 4
## 370 0.1162005 109.1121 0.162 mif1 35 4
## 371 0.1162005 109.1121 0.162 start 36 4
## 372 0.1162005 109.1121 0.162 mif1 36 4
## 373 0.1162005 109.1121 0.162 start 37 4
## 374 0.1162005 109.1121 0.162 mif1 37 4
## 375 0.1162005 109.1121 0.162 start 38 4
## 376 0.1162005 109.1121 0.162 mif1 38 4
## 377 0.1162005 109.1121 0.162 start 39 4
## 378 0.1162005 109.1121 0.162 mif1 39 4
## 379 0.1162005 109.1121 0.162 start 40 4
## 380 0.1162005 109.1121 0.162 mif1 40 4
## 381 0.1162005 109.1121 0.162 start 41 4
## 382 0.1162005 109.1121 0.162 mif1 41 4
## 383 0.1162005 109.1121 0.162 start 42 4
## 384 0.1162005 109.1121 0.162 mif1 42 4
## 385 0.1162005 109.1121 0.162 start 43 4
## 386 0.1162005 109.1121 0.162 mif1 43 4
## 387 0.1162005 109.1121 0.162 start 44 4
## 388 0.1162005 109.1121 0.162 mif1 44 4
## 389 0.1162005 109.1121 0.162 start 45 4
## 390 0.1162005 109.1121 0.162 mif1 45 4
## 391 0.1162005 109.1121 0.162 start 46 4
## 392 0.1162005 109.1121 0.162 mif1 46 4
## 393 0.1162005 109.1121 0.162 start 47 4
## 394 0.1162005 109.1121 0.162 mif1 47 4
## 395 0.1162005 109.1121 0.162 start 48 4
## 396 0.1162005 109.1121 0.162 mif1 48 4
## 397 0.1162005 109.1121 0.162 start 49 4
## 398 0.1162005 109.1121 0.162 mif1 49 4
## 399 0.1162005 109.1121 0.162 start 50 4
## 400 0.1162005 109.1121 0.162 mif1 50 4
## 401 0.1162005 109.1121 0.162 start 1 5
## 402 0.1162005 109.1121 0.162 mif1 1 5
## 403 0.1162005 109.1121 0.162 start 2 5
## 404 0.1162005 109.1121 0.162 mif1 2 5
## 405 0.1162005 109.1121 0.162 start 3 5
## 406 0.1162005 109.1121 0.162 mif1 3 5
## 407 0.1162005 109.1121 0.162 start 4 5
## 408 0.1162005 109.1121 0.162 mif1 4 5
## 409 0.1162005 109.1121 0.162 start 5 5
## 410 0.1162005 109.1121 0.162 mif1 5 5
## 411 0.1162005 109.1121 0.162 start 6 5
## 412 0.1162005 109.1121 0.162 mif1 6 5
## 413 0.1162005 109.1121 0.162 start 7 5
## 414 0.1162005 109.1121 0.162 mif1 7 5
## 415 0.1162005 109.1121 0.162 start 8 5
## 416 0.1162005 109.1121 0.162 mif1 8 5
## 417 0.1162005 109.1121 0.162 start 9 5
## 418 0.1162005 109.1121 0.162 mif1 9 5
## 419 0.1162005 109.1121 0.162 start 10 5
## 420 0.1162005 109.1121 0.162 mif1 10 5
## 421 0.1162005 109.1121 0.162 start 11 5
## 422 0.1162005 109.1121 0.162 mif1 11 5
## 423 0.1162005 109.1121 0.162 start 12 5
## 424 0.1162005 109.1121 0.162 mif1 12 5
## 425 0.1162005 109.1121 0.162 start 13 5
## 426 0.1162005 109.1121 0.162 mif1 13 5
## 427 0.1162005 109.1121 0.162 start 14 5
## 428 0.1162005 109.1121 0.162 mif1 14 5
## 429 0.1162005 109.1121 0.162 start 15 5
## 430 0.1162005 109.1121 0.162 mif1 15 5
## 431 0.1162005 109.1121 0.162 start 16 5
## 432 0.1162005 109.1121 0.162 mif1 16 5
## 433 0.1162005 109.1121 0.162 start 17 5
## 434 0.1162005 109.1121 0.162 mif1 17 5
## 435 0.1162005 109.1121 0.162 start 18 5
## 436 0.1162005 109.1121 0.162 mif1 18 5
## 437 0.1162005 109.1121 0.162 start 19 5
## 438 0.1162005 109.1121 0.162 mif1 19 5
## 439 0.1162005 109.1121 0.162 start 20 5
## 440 0.1162005 109.1121 0.162 mif1 20 5
## 441 0.1162005 109.1121 0.162 start 21 5
## 442 0.1162005 109.1121 0.162 mif1 21 5
## 443 0.1162005 109.1121 0.162 start 22 5
## 444 0.1162005 109.1121 0.162 mif1 22 5
## 445 0.1162005 109.1121 0.162 start 23 5
## 446 0.1162005 109.1121 0.162 mif1 23 5
## 447 0.1162005 109.1121 0.162 start 24 5
## 448 0.1162005 109.1121 0.162 mif1 24 5
## 449 0.1162005 109.1121 0.162 start 25 5
## 450 0.1162005 109.1121 0.162 mif1 25 5
## 451 0.1162005 109.1121 0.162 start 26 5
## 452 0.1162005 109.1121 0.162 mif1 26 5
## 453 0.1162005 109.1121 0.162 start 27 5
## 454 0.1162005 109.1121 0.162 mif1 27 5
## 455 0.1162005 109.1121 0.162 start 28 5
## 456 0.1162005 109.1121 0.162 mif1 28 5
## 457 0.1162005 109.1121 0.162 start 29 5
## 458 0.1162005 109.1121 0.162 mif1 29 5
## 459 0.1162005 109.1121 0.162 start 30 5
## 460 0.1162005 109.1121 0.162 mif1 30 5
## 461 0.1162005 109.1121 0.162 start 31 5
## 462 0.1162005 109.1121 0.162 mif1 31 5
## 463 0.1162005 109.1121 0.162 start 32 5
## 464 0.1162005 109.1121 0.162 mif1 32 5
## 465 0.1162005 109.1121 0.162 start 33 5
## 466 0.1162005 109.1121 0.162 mif1 33 5
## 467 0.1162005 109.1121 0.162 start 34 5
## 468 0.1162005 109.1121 0.162 mif1 34 5
## 469 0.1162005 109.1121 0.162 start 35 5
## 470 0.1162005 109.1121 0.162 mif1 35 5
## 471 0.1162005 109.1121 0.162 start 36 5
## 472 0.1162005 109.1121 0.162 mif1 36 5
## 473 0.1162005 109.1121 0.162 start 37 5
## 474 0.1162005 109.1121 0.162 mif1 37 5
## 475 0.1162005 109.1121 0.162 start 38 5
## 476 0.1162005 109.1121 0.162 mif1 38 5
## 477 0.1162005 109.1121 0.162 start 39 5
## 478 0.1162005 109.1121 0.162 mif1 39 5
## 479 0.1162005 109.1121 0.162 start 40 5
## 480 0.1162005 109.1121 0.162 mif1 40 5
## 481 0.1162005 109.1121 0.162 start 41 5
## 482 0.1162005 109.1121 0.162 mif1 41 5
## 483 0.1162005 109.1121 0.162 start 42 5
## 484 0.1162005 109.1121 0.162 mif1 42 5
## 485 0.1162005 109.1121 0.162 start 43 5
## 486 0.1162005 109.1121 0.162 mif1 43 5
## 487 0.1162005 109.1121 0.162 start 44 5
## 488 0.1162005 109.1121 0.162 mif1 44 5
## 489 0.1162005 109.1121 0.162 start 45 5
## 490 0.1162005 109.1121 0.162 mif1 45 5
## 491 0.1162005 109.1121 0.162 start 46 5
## 492 0.1162005 109.1121 0.162 mif1 46 5
## 493 0.1162005 109.1121 0.162 start 47 5
## 494 0.1162005 109.1121 0.162 mif1 47 5
## 495 0.1162005 109.1121 0.162 start 48 5
## 496 0.1162005 109.1121 0.162 mif1 48 5
## 497 0.1162005 109.1121 0.162 start 49 5
## 498 0.1162005 109.1121 0.162 mif1 49 5
## 499 0.1162005 109.1121 0.162 start 50 5
## 500 0.1162005 109.1121 0.162 mif1 50 5
## 501 0.1162005 109.1121 0.162 start 1 6
## 502 0.1162005 109.1121 0.162 mif1 1 6
## 503 0.1162005 109.1121 0.162 start 2 6
## 504 0.1162005 109.1121 0.162 mif1 2 6
## 505 0.1162005 109.1121 0.162 start 3 6
## 506 0.1162005 109.1121 0.162 mif1 3 6
## 507 0.1162005 109.1121 0.162 start 4 6
## 508 0.1162005 109.1121 0.162 mif1 4 6
## 509 0.1162005 109.1121 0.162 start 5 6
## 510 0.1162005 109.1121 0.162 mif1 5 6
## 511 0.1162005 109.1121 0.162 start 6 6
## 512 0.1162005 109.1121 0.162 mif1 6 6
## 513 0.1162005 109.1121 0.162 start 7 6
## 514 0.1162005 109.1121 0.162 mif1 7 6
## 515 0.1162005 109.1121 0.162 start 8 6
## 516 0.1162005 109.1121 0.162 mif1 8 6
## 517 0.1162005 109.1121 0.162 start 9 6
## 518 0.1162005 109.1121 0.162 mif1 9 6
## 519 0.1162005 109.1121 0.162 start 10 6
## 520 0.1162005 109.1121 0.162 mif1 10 6
## 521 0.1162005 109.1121 0.162 start 11 6
## 522 0.1162005 109.1121 0.162 mif1 11 6
## 523 0.1162005 109.1121 0.162 start 12 6
## 524 0.1162005 109.1121 0.162 mif1 12 6
## 525 0.1162005 109.1121 0.162 start 13 6
## 526 0.1162005 109.1121 0.162 mif1 13 6
## 527 0.1162005 109.1121 0.162 start 14 6
## 528 0.1162005 109.1121 0.162 mif1 14 6
## 529 0.1162005 109.1121 0.162 start 15 6
## 530 0.1162005 109.1121 0.162 mif1 15 6
## 531 0.1162005 109.1121 0.162 start 16 6
## 532 0.1162005 109.1121 0.162 mif1 16 6
## 533 0.1162005 109.1121 0.162 start 17 6
## 534 0.1162005 109.1121 0.162 mif1 17 6
## 535 0.1162005 109.1121 0.162 start 18 6
## 536 0.1162005 109.1121 0.162 mif1 18 6
## 537 0.1162005 109.1121 0.162 start 19 6
## 538 0.1162005 109.1121 0.162 mif1 19 6
## 539 0.1162005 109.1121 0.162 start 20 6
## 540 0.1162005 109.1121 0.162 mif1 20 6
## 541 0.1162005 109.1121 0.162 start 21 6
## 542 0.1162005 109.1121 0.162 mif1 21 6
## 543 0.1162005 109.1121 0.162 start 22 6
## 544 0.1162005 109.1121 0.162 mif1 22 6
## 545 0.1162005 109.1121 0.162 start 23 6
## 546 0.1162005 109.1121 0.162 mif1 23 6
## 547 0.1162005 109.1121 0.162 start 24 6
## 548 0.1162005 109.1121 0.162 mif1 24 6
## 549 0.1162005 109.1121 0.162 start 25 6
## 550 0.1162005 109.1121 0.162 mif1 25 6
## 551 0.1162005 109.1121 0.162 start 26 6
## 552 0.1162005 109.1121 0.162 mif1 26 6
## 553 0.1162005 109.1121 0.162 start 27 6
## 554 0.1162005 109.1121 0.162 mif1 27 6
## 555 0.1162005 109.1121 0.162 start 28 6
## 556 0.1162005 109.1121 0.162 mif1 28 6
## 557 0.1162005 109.1121 0.162 start 29 6
## 558 0.1162005 109.1121 0.162 mif1 29 6
## 559 0.1162005 109.1121 0.162 start 30 6
## 560 0.1162005 109.1121 0.162 mif1 30 6
## 561 0.1162005 109.1121 0.162 start 31 6
## 562 0.1162005 109.1121 0.162 mif1 31 6
## 563 0.1162005 109.1121 0.162 start 32 6
## 564 0.1162005 109.1121 0.162 mif1 32 6
## 565 0.1162005 109.1121 0.162 start 33 6
## 566 0.1162005 109.1121 0.162 mif1 33 6
## 567 0.1162005 109.1121 0.162 start 34 6
## 568 0.1162005 109.1121 0.162 mif1 34 6
## 569 0.1162005 109.1121 0.162 start 35 6
## 570 0.1162005 109.1121 0.162 mif1 35 6
## 571 0.1162005 109.1121 0.162 start 36 6
## 572 0.1162005 109.1121 0.162 mif1 36 6
## 573 0.1162005 109.1121 0.162 start 37 6
## 574 0.1162005 109.1121 0.162 mif1 37 6
## 575 0.1162005 109.1121 0.162 start 38 6
## 576 0.1162005 109.1121 0.162 mif1 38 6
## 577 0.1162005 109.1121 0.162 start 39 6
## 578 0.1162005 109.1121 0.162 mif1 39 6
## 579 0.1162005 109.1121 0.162 start 40 6
## 580 0.1162005 109.1121 0.162 mif1 40 6
## 581 0.1162005 109.1121 0.162 start 41 6
## 582 0.1162005 109.1121 0.162 mif1 41 6
## 583 0.1162005 109.1121 0.162 start 42 6
## 584 0.1162005 109.1121 0.162 mif1 42 6
## 585 0.1162005 109.1121 0.162 start 43 6
## 586 0.1162005 109.1121 0.162 mif1 43 6
## 587 0.1162005 109.1121 0.162 start 44 6
## 588 0.1162005 109.1121 0.162 mif1 44 6
## 589 0.1162005 109.1121 0.162 start 45 6
## 590 0.1162005 109.1121 0.162 mif1 45 6
## 591 0.1162005 109.1121 0.162 start 46 6
## 592 0.1162005 109.1121 0.162 mif1 46 6
## 593 0.1162005 109.1121 0.162 start 47 6
## 594 0.1162005 109.1121 0.162 mif1 47 6
## 595 0.1162005 109.1121 0.162 start 48 6
## 596 0.1162005 109.1121 0.162 mif1 48 6
## 597 0.1162005 109.1121 0.162 start 49 6
## 598 0.1162005 109.1121 0.162 mif1 49 6
## 599 0.1162005 109.1121 0.162 start 50 6
## 600 0.1162005 109.1121 0.162 mif1 50 6
## 601 0.1162005 109.1121 0.162 start 1 7
## 602 0.1162005 109.1121 0.162 mif1 1 7
## 603 0.1162005 109.1121 0.162 start 2 7
## 604 0.1162005 109.1121 0.162 mif1 2 7
## 605 0.1162005 109.1121 0.162 start 3 7
## 606 0.1162005 109.1121 0.162 mif1 3 7
## 607 0.1162005 109.1121 0.162 start 4 7
## 608 0.1162005 109.1121 0.162 mif1 4 7
## 609 0.1162005 109.1121 0.162 start 5 7
## 610 0.1162005 109.1121 0.162 mif1 5 7
## 611 0.1162005 109.1121 0.162 start 6 7
## 612 0.1162005 109.1121 0.162 mif1 6 7
## 613 0.1162005 109.1121 0.162 start 7 7
## 614 0.1162005 109.1121 0.162 mif1 7 7
## 615 0.1162005 109.1121 0.162 start 8 7
## 616 0.1162005 109.1121 0.162 mif1 8 7
## 617 0.1162005 109.1121 0.162 start 9 7
## 618 0.1162005 109.1121 0.162 mif1 9 7
## 619 0.1162005 109.1121 0.162 start 10 7
## 620 0.1162005 109.1121 0.162 mif1 10 7
## 621 0.1162005 109.1121 0.162 start 11 7
## 622 0.1162005 109.1121 0.162 mif1 11 7
## 623 0.1162005 109.1121 0.162 start 12 7
## 624 0.1162005 109.1121 0.162 mif1 12 7
## 625 0.1162005 109.1121 0.162 start 13 7
## 626 0.1162005 109.1121 0.162 mif1 13 7
## 627 0.1162005 109.1121 0.162 start 14 7
## 628 0.1162005 109.1121 0.162 mif1 14 7
## 629 0.1162005 109.1121 0.162 start 15 7
## 630 0.1162005 109.1121 0.162 mif1 15 7
## 631 0.1162005 109.1121 0.162 start 16 7
## 632 0.1162005 109.1121 0.162 mif1 16 7
## 633 0.1162005 109.1121 0.162 start 17 7
## 634 0.1162005 109.1121 0.162 mif1 17 7
## 635 0.1162005 109.1121 0.162 start 18 7
## 636 0.1162005 109.1121 0.162 mif1 18 7
## 637 0.1162005 109.1121 0.162 start 19 7
## 638 0.1162005 109.1121 0.162 mif1 19 7
## 639 0.1162005 109.1121 0.162 start 20 7
## 640 0.1162005 109.1121 0.162 mif1 20 7
## 641 0.1162005 109.1121 0.162 start 21 7
## 642 0.1162005 109.1121 0.162 mif1 21 7
## 643 0.1162005 109.1121 0.162 start 22 7
## 644 0.1162005 109.1121 0.162 mif1 22 7
## 645 0.1162005 109.1121 0.162 start 23 7
## 646 0.1162005 109.1121 0.162 mif1 23 7
## 647 0.1162005 109.1121 0.162 start 24 7
## 648 0.1162005 109.1121 0.162 mif1 24 7
## 649 0.1162005 109.1121 0.162 start 25 7
## 650 0.1162005 109.1121 0.162 mif1 25 7
## 651 0.1162005 109.1121 0.162 start 26 7
## 652 0.1162005 109.1121 0.162 mif1 26 7
## 653 0.1162005 109.1121 0.162 start 27 7
## 654 0.1162005 109.1121 0.162 mif1 27 7
## 655 0.1162005 109.1121 0.162 start 28 7
## 656 0.1162005 109.1121 0.162 mif1 28 7
## 657 0.1162005 109.1121 0.162 start 29 7
## 658 0.1162005 109.1121 0.162 mif1 29 7
## 659 0.1162005 109.1121 0.162 start 30 7
## 660 0.1162005 109.1121 0.162 mif1 30 7
## 661 0.1162005 109.1121 0.162 start 31 7
## 662 0.1162005 109.1121 0.162 mif1 31 7
## 663 0.1162005 109.1121 0.162 start 32 7
## 664 0.1162005 109.1121 0.162 mif1 32 7
## 665 0.1162005 109.1121 0.162 start 33 7
## 666 0.1162005 109.1121 0.162 mif1 33 7
## 667 0.1162005 109.1121 0.162 start 34 7
## 668 0.1162005 109.1121 0.162 mif1 34 7
## 669 0.1162005 109.1121 0.162 start 35 7
## 670 0.1162005 109.1121 0.162 mif1 35 7
## 671 0.1162005 109.1121 0.162 start 36 7
## 672 0.1162005 109.1121 0.162 mif1 36 7
## 673 0.1162005 109.1121 0.162 start 37 7
## 674 0.1162005 109.1121 0.162 mif1 37 7
## 675 0.1162005 109.1121 0.162 start 38 7
## 676 0.1162005 109.1121 0.162 mif1 38 7
## 677 0.1162005 109.1121 0.162 start 39 7
## 678 0.1162005 109.1121 0.162 mif1 39 7
## 679 0.1162005 109.1121 0.162 start 40 7
## 680 0.1162005 109.1121 0.162 mif1 40 7
## 681 0.1162005 109.1121 0.162 start 41 7
## 682 0.1162005 109.1121 0.162 mif1 41 7
## 683 0.1162005 109.1121 0.162 start 42 7
## 684 0.1162005 109.1121 0.162 mif1 42 7
## 685 0.1162005 109.1121 0.162 start 43 7
## 686 0.1162005 109.1121 0.162 mif1 43 7
## 687 0.1162005 109.1121 0.162 start 44 7
## 688 0.1162005 109.1121 0.162 mif1 44 7
## 689 0.1162005 109.1121 0.162 start 45 7
## 690 0.1162005 109.1121 0.162 mif1 45 7
## 691 0.1162005 109.1121 0.162 start 46 7
## 692 0.1162005 109.1121 0.162 mif1 46 7
## 693 0.1162005 109.1121 0.162 start 47 7
## 694 0.1162005 109.1121 0.162 mif1 47 7
## 695 0.1162005 109.1121 0.162 start 48 7
## 696 0.1162005 109.1121 0.162 mif1 48 7
## 697 0.1162005 109.1121 0.162 start 49 7
## 698 0.1162005 109.1121 0.162 mif1 49 7
## 699 0.1162005 109.1121 0.162 start 50 7
## 700 0.1162005 109.1121 0.162 mif1 50 7
## 701 0.1162005 109.1121 0.162 start 1 8
## 702 0.1162005 109.1121 0.162 mif1 1 8
## 703 0.1162005 109.1121 0.162 start 2 8
## 704 0.1162005 109.1121 0.162 mif1 2 8
## 705 0.1162005 109.1121 0.162 start 3 8
## 706 0.1162005 109.1121 0.162 mif1 3 8
## 707 0.1162005 109.1121 0.162 start 4 8
## 708 0.1162005 109.1121 0.162 mif1 4 8
## 709 0.1162005 109.1121 0.162 start 5 8
## 710 0.1162005 109.1121 0.162 mif1 5 8
## 711 0.1162005 109.1121 0.162 start 6 8
## 712 0.1162005 109.1121 0.162 mif1 6 8
## 713 0.1162005 109.1121 0.162 start 7 8
## 714 0.1162005 109.1121 0.162 mif1 7 8
## 715 0.1162005 109.1121 0.162 start 8 8
## 716 0.1162005 109.1121 0.162 mif1 8 8
## 717 0.1162005 109.1121 0.162 start 9 8
## 718 0.1162005 109.1121 0.162 mif1 9 8
## 719 0.1162005 109.1121 0.162 start 10 8
## 720 0.1162005 109.1121 0.162 mif1 10 8
## 721 0.1162005 109.1121 0.162 start 11 8
## 722 0.1162005 109.1121 0.162 mif1 11 8
## 723 0.1162005 109.1121 0.162 start 12 8
## 724 0.1162005 109.1121 0.162 mif1 12 8
## 725 0.1162005 109.1121 0.162 start 13 8
## 726 0.1162005 109.1121 0.162 mif1 13 8
## 727 0.1162005 109.1121 0.162 start 14 8
## 728 0.1162005 109.1121 0.162 mif1 14 8
## 729 0.1162005 109.1121 0.162 start 15 8
## 730 0.1162005 109.1121 0.162 mif1 15 8
## 731 0.1162005 109.1121 0.162 start 16 8
## 732 0.1162005 109.1121 0.162 mif1 16 8
## 733 0.1162005 109.1121 0.162 start 17 8
## 734 0.1162005 109.1121 0.162 mif1 17 8
## 735 0.1162005 109.1121 0.162 start 18 8
## 736 0.1162005 109.1121 0.162 mif1 18 8
## 737 0.1162005 109.1121 0.162 start 19 8
## 738 0.1162005 109.1121 0.162 mif1 19 8
## 739 0.1162005 109.1121 0.162 start 20 8
## 740 0.1162005 109.1121 0.162 mif1 20 8
## 741 0.1162005 109.1121 0.162 start 21 8
## 742 0.1162005 109.1121 0.162 mif1 21 8
## 743 0.1162005 109.1121 0.162 start 22 8
## 744 0.1162005 109.1121 0.162 mif1 22 8
## 745 0.1162005 109.1121 0.162 start 23 8
## 746 0.1162005 109.1121 0.162 mif1 23 8
## 747 0.1162005 109.1121 0.162 start 24 8
## 748 0.1162005 109.1121 0.162 mif1 24 8
## 749 0.1162005 109.1121 0.162 start 25 8
## 750 0.1162005 109.1121 0.162 mif1 25 8
## 751 0.1162005 109.1121 0.162 start 26 8
## 752 0.1162005 109.1121 0.162 mif1 26 8
## 753 0.1162005 109.1121 0.162 start 27 8
## 754 0.1162005 109.1121 0.162 mif1 27 8
## 755 0.1162005 109.1121 0.162 start 28 8
## 756 0.1162005 109.1121 0.162 mif1 28 8
## 757 0.1162005 109.1121 0.162 start 29 8
## 758 0.1162005 109.1121 0.162 mif1 29 8
## 759 0.1162005 109.1121 0.162 start 30 8
## 760 0.1162005 109.1121 0.162 mif1 30 8
## 761 0.1162005 109.1121 0.162 start 31 8
## 762 0.1162005 109.1121 0.162 mif1 31 8
## 763 0.1162005 109.1121 0.162 start 32 8
## 764 0.1162005 109.1121 0.162 mif1 32 8
## 765 0.1162005 109.1121 0.162 start 33 8
## 766 0.1162005 109.1121 0.162 mif1 33 8
## 767 0.1162005 109.1121 0.162 start 34 8
## 768 0.1162005 109.1121 0.162 mif1 34 8
## 769 0.1162005 109.1121 0.162 start 35 8
## 770 0.1162005 109.1121 0.162 mif1 35 8
## 771 0.1162005 109.1121 0.162 start 36 8
## 772 0.1162005 109.1121 0.162 mif1 36 8
## 773 0.1162005 109.1121 0.162 start 37 8
## 774 0.1162005 109.1121 0.162 mif1 37 8
## 775 0.1162005 109.1121 0.162 start 38 8
## 776 0.1162005 109.1121 0.162 mif1 38 8
## 777 0.1162005 109.1121 0.162 start 39 8
## 778 0.1162005 109.1121 0.162 mif1 39 8
## 779 0.1162005 109.1121 0.162 start 40 8
## 780 0.1162005 109.1121 0.162 mif1 40 8
## 781 0.1162005 109.1121 0.162 start 41 8
## 782 0.1162005 109.1121 0.162 mif1 41 8
## 783 0.1162005 109.1121 0.162 start 42 8
## 784 0.1162005 109.1121 0.162 mif1 42 8
## 785 0.1162005 109.1121 0.162 start 43 8
## 786 0.1162005 109.1121 0.162 mif1 43 8
## 787 0.1162005 109.1121 0.162 start 44 8
## 788 0.1162005 109.1121 0.162 mif1 44 8
## 789 0.1162005 109.1121 0.162 start 45 8
## 790 0.1162005 109.1121 0.162 mif1 45 8
## 791 0.1162005 109.1121 0.162 start 46 8
## 792 0.1162005 109.1121 0.162 mif1 46 8
## 793 0.1162005 109.1121 0.162 start 47 8
## 794 0.1162005 109.1121 0.162 mif1 47 8
## 795 0.1162005 109.1121 0.162 start 48 8
## 796 0.1162005 109.1121 0.162 mif1 48 8
## 797 0.1162005 109.1121 0.162 start 49 8
## 798 0.1162005 109.1121 0.162 mif1 49 8
## 799 0.1162005 109.1121 0.162 start 50 8
## 800 0.1162005 109.1121 0.162 mif1 50 8
## 801 0.1162005 109.1121 0.162 start 1 9
## 802 0.1162005 109.1121 0.162 mif1 1 9
## 803 0.1162005 109.1121 0.162 start 2 9
## 804 0.1162005 109.1121 0.162 mif1 2 9
## 805 0.1162005 109.1121 0.162 start 3 9
## 806 0.1162005 109.1121 0.162 mif1 3 9
## 807 0.1162005 109.1121 0.162 start 4 9
## 808 0.1162005 109.1121 0.162 mif1 4 9
## 809 0.1162005 109.1121 0.162 start 5 9
## 810 0.1162005 109.1121 0.162 mif1 5 9
## 811 0.1162005 109.1121 0.162 start 6 9
## 812 0.1162005 109.1121 0.162 mif1 6 9
## 813 0.1162005 109.1121 0.162 start 7 9
## 814 0.1162005 109.1121 0.162 mif1 7 9
## 815 0.1162005 109.1121 0.162 start 8 9
## 816 0.1162005 109.1121 0.162 mif1 8 9
## 817 0.1162005 109.1121 0.162 start 9 9
## 818 0.1162005 109.1121 0.162 mif1 9 9
## 819 0.1162005 109.1121 0.162 start 10 9
## 820 0.1162005 109.1121 0.162 mif1 10 9
## 821 0.1162005 109.1121 0.162 start 11 9
## 822 0.1162005 109.1121 0.162 mif1 11 9
## 823 0.1162005 109.1121 0.162 start 12 9
## 824 0.1162005 109.1121 0.162 mif1 12 9
## 825 0.1162005 109.1121 0.162 start 13 9
## 826 0.1162005 109.1121 0.162 mif1 13 9
## 827 0.1162005 109.1121 0.162 start 14 9
## 828 0.1162005 109.1121 0.162 mif1 14 9
## 829 0.1162005 109.1121 0.162 start 15 9
## 830 0.1162005 109.1121 0.162 mif1 15 9
## 831 0.1162005 109.1121 0.162 start 16 9
## 832 0.1162005 109.1121 0.162 mif1 16 9
## 833 0.1162005 109.1121 0.162 start 17 9
## 834 0.1162005 109.1121 0.162 mif1 17 9
## 835 0.1162005 109.1121 0.162 start 18 9
## 836 0.1162005 109.1121 0.162 mif1 18 9
## 837 0.1162005 109.1121 0.162 start 19 9
## 838 0.1162005 109.1121 0.162 mif1 19 9
## 839 0.1162005 109.1121 0.162 start 20 9
## 840 0.1162005 109.1121 0.162 mif1 20 9
## 841 0.1162005 109.1121 0.162 start 21 9
## 842 0.1162005 109.1121 0.162 mif1 21 9
## 843 0.1162005 109.1121 0.162 start 22 9
## 844 0.1162005 109.1121 0.162 mif1 22 9
## 845 0.1162005 109.1121 0.162 start 23 9
## 846 0.1162005 109.1121 0.162 mif1 23 9
## 847 0.1162005 109.1121 0.162 start 24 9
## 848 0.1162005 109.1121 0.162 mif1 24 9
## 849 0.1162005 109.1121 0.162 start 25 9
## 850 0.1162005 109.1121 0.162 mif1 25 9
## 851 0.1162005 109.1121 0.162 start 26 9
## 852 0.1162005 109.1121 0.162 mif1 26 9
## 853 0.1162005 109.1121 0.162 start 27 9
## 854 0.1162005 109.1121 0.162 mif1 27 9
## 855 0.1162005 109.1121 0.162 start 28 9
## 856 0.1162005 109.1121 0.162 mif1 28 9
## 857 0.1162005 109.1121 0.162 start 29 9
## 858 0.1162005 109.1121 0.162 mif1 29 9
## 859 0.1162005 109.1121 0.162 start 30 9
## 860 0.1162005 109.1121 0.162 mif1 30 9
## 861 0.1162005 109.1121 0.162 start 31 9
## 862 0.1162005 109.1121 0.162 mif1 31 9
## 863 0.1162005 109.1121 0.162 start 32 9
## 864 0.1162005 109.1121 0.162 mif1 32 9
## 865 0.1162005 109.1121 0.162 start 33 9
## 866 0.1162005 109.1121 0.162 mif1 33 9
## 867 0.1162005 109.1121 0.162 start 34 9
## 868 0.1162005 109.1121 0.162 mif1 34 9
## 869 0.1162005 109.1121 0.162 start 35 9
## 870 0.1162005 109.1121 0.162 mif1 35 9
## 871 0.1162005 109.1121 0.162 start 36 9
## 872 0.1162005 109.1121 0.162 mif1 36 9
## 873 0.1162005 109.1121 0.162 start 37 9
## 874 0.1162005 109.1121 0.162 mif1 37 9
## 875 0.1162005 109.1121 0.162 start 38 9
## 876 0.1162005 109.1121 0.162 mif1 38 9
## 877 0.1162005 109.1121 0.162 start 39 9
## 878 0.1162005 109.1121 0.162 mif1 39 9
## 879 0.1162005 109.1121 0.162 start 40 9
## 880 0.1162005 109.1121 0.162 mif1 40 9
## 881 0.1162005 109.1121 0.162 start 41 9
## 882 0.1162005 109.1121 0.162 mif1 41 9
## 883 0.1162005 109.1121 0.162 start 42 9
## 884 0.1162005 109.1121 0.162 mif1 42 9
## 885 0.1162005 109.1121 0.162 start 43 9
## 886 0.1162005 109.1121 0.162 mif1 43 9
## 887 0.1162005 109.1121 0.162 start 44 9
## 888 0.1162005 109.1121 0.162 mif1 44 9
## 889 0.1162005 109.1121 0.162 start 45 9
## 890 0.1162005 109.1121 0.162 mif1 45 9
## 891 0.1162005 109.1121 0.162 start 46 9
## 892 0.1162005 109.1121 0.162 mif1 46 9
## 893 0.1162005 109.1121 0.162 start 47 9
## 894 0.1162005 109.1121 0.162 mif1 47 9
## 895 0.1162005 109.1121 0.162 start 48 9
## 896 0.1162005 109.1121 0.162 mif1 48 9
## 897 0.1162005 109.1121 0.162 start 49 9
## 898 0.1162005 109.1121 0.162 mif1 49 9
## 899 0.1162005 109.1121 0.162 start 50 9
## 900 0.1162005 109.1121 0.162 mif1 50 9
## 901 0.1162005 109.1121 0.162 start 1 10
## 902 0.1162005 109.1121 0.162 mif1 1 10
## 903 0.1162005 109.1121 0.162 start 2 10
## 904 0.1162005 109.1121 0.162 mif1 2 10
## 905 0.1162005 109.1121 0.162 start 3 10
## 906 0.1162005 109.1121 0.162 mif1 3 10
## 907 0.1162005 109.1121 0.162 start 4 10
## 908 0.1162005 109.1121 0.162 mif1 4 10
## 909 0.1162005 109.1121 0.162 start 5 10
## 910 0.1162005 109.1121 0.162 mif1 5 10
## 911 0.1162005 109.1121 0.162 start 6 10
## 912 0.1162005 109.1121 0.162 mif1 6 10
## 913 0.1162005 109.1121 0.162 start 7 10
## 914 0.1162005 109.1121 0.162 mif1 7 10
## 915 0.1162005 109.1121 0.162 start 8 10
## 916 0.1162005 109.1121 0.162 mif1 8 10
## 917 0.1162005 109.1121 0.162 start 9 10
## 918 0.1162005 109.1121 0.162 mif1 9 10
## 919 0.1162005 109.1121 0.162 start 10 10
## 920 0.1162005 109.1121 0.162 mif1 10 10
## 921 0.1162005 109.1121 0.162 start 11 10
## 922 0.1162005 109.1121 0.162 mif1 11 10
## 923 0.1162005 109.1121 0.162 start 12 10
## 924 0.1162005 109.1121 0.162 mif1 12 10
## 925 0.1162005 109.1121 0.162 start 13 10
## 926 0.1162005 109.1121 0.162 mif1 13 10
## 927 0.1162005 109.1121 0.162 start 14 10
## 928 0.1162005 109.1121 0.162 mif1 14 10
## 929 0.1162005 109.1121 0.162 start 15 10
## 930 0.1162005 109.1121 0.162 mif1 15 10
## 931 0.1162005 109.1121 0.162 start 16 10
## 932 0.1162005 109.1121 0.162 mif1 16 10
## 933 0.1162005 109.1121 0.162 start 17 10
## 934 0.1162005 109.1121 0.162 mif1 17 10
## 935 0.1162005 109.1121 0.162 start 18 10
## 936 0.1162005 109.1121 0.162 mif1 18 10
## 937 0.1162005 109.1121 0.162 start 19 10
## 938 0.1162005 109.1121 0.162 mif1 19 10
## 939 0.1162005 109.1121 0.162 start 20 10
## 940 0.1162005 109.1121 0.162 mif1 20 10
## 941 0.1162005 109.1121 0.162 start 21 10
## 942 0.1162005 109.1121 0.162 mif1 21 10
## 943 0.1162005 109.1121 0.162 start 22 10
## 944 0.1162005 109.1121 0.162 mif1 22 10
## 945 0.1162005 109.1121 0.162 start 23 10
## 946 0.1162005 109.1121 0.162 mif1 23 10
## 947 0.1162005 109.1121 0.162 start 24 10
## 948 0.1162005 109.1121 0.162 mif1 24 10
## 949 0.1162005 109.1121 0.162 start 25 10
## 950 0.1162005 109.1121 0.162 mif1 25 10
## 951 0.1162005 109.1121 0.162 start 26 10
## 952 0.1162005 109.1121 0.162 mif1 26 10
## 953 0.1162005 109.1121 0.162 start 27 10
## 954 0.1162005 109.1121 0.162 mif1 27 10
## 955 0.1162005 109.1121 0.162 start 28 10
## 956 0.1162005 109.1121 0.162 mif1 28 10
## 957 0.1162005 109.1121 0.162 start 29 10
## 958 0.1162005 109.1121 0.162 mif1 29 10
## 959 0.1162005 109.1121 0.162 start 30 10
## 960 0.1162005 109.1121 0.162 mif1 30 10
## 961 0.1162005 109.1121 0.162 start 31 10
## 962 0.1162005 109.1121 0.162 mif1 31 10
## 963 0.1162005 109.1121 0.162 start 32 10
## 964 0.1162005 109.1121 0.162 mif1 32 10
## 965 0.1162005 109.1121 0.162 start 33 10
## 966 0.1162005 109.1121 0.162 mif1 33 10
## 967 0.1162005 109.1121 0.162 start 34 10
## 968 0.1162005 109.1121 0.162 mif1 34 10
## 969 0.1162005 109.1121 0.162 start 35 10
## 970 0.1162005 109.1121 0.162 mif1 35 10
## 971 0.1162005 109.1121 0.162 start 36 10
## 972 0.1162005 109.1121 0.162 mif1 36 10
## 973 0.1162005 109.1121 0.162 start 37 10
## 974 0.1162005 109.1121 0.162 mif1 37 10
## 975 0.1162005 109.1121 0.162 start 38 10
## 976 0.1162005 109.1121 0.162 mif1 38 10
## 977 0.1162005 109.1121 0.162 start 39 10
## 978 0.1162005 109.1121 0.162 mif1 39 10
## 979 0.1162005 109.1121 0.162 start 40 10
## 980 0.1162005 109.1121 0.162 mif1 40 10
## 981 0.1162005 109.1121 0.162 start 41 10
## 982 0.1162005 109.1121 0.162 mif1 41 10
## 983 0.1162005 109.1121 0.162 start 42 10
## 984 0.1162005 109.1121 0.162 mif1 42 10
## 985 0.1162005 109.1121 0.162 start 43 10
## 986 0.1162005 109.1121 0.162 mif1 43 10
## 987 0.1162005 109.1121 0.162 start 44 10
## 988 0.1162005 109.1121 0.162 mif1 44 10
## 989 0.1162005 109.1121 0.162 start 45 10
## 990 0.1162005 109.1121 0.162 mif1 45 10
## 991 0.1162005 109.1121 0.162 start 46 10
## 992 0.1162005 109.1121 0.162 mif1 46 10
## 993 0.1162005 109.1121 0.162 start 47 10
## 994 0.1162005 109.1121 0.162 mif1 47 10
## 995 0.1162005 109.1121 0.162 start 48 10
## 996 0.1162005 109.1121 0.162 mif1 48 10
## 997 0.1162005 109.1121 0.162 start 49 10
## 998 0.1162005 109.1121 0.162 mif1 49 10
## 999 0.1162005 109.1121 0.162 start 50 10
## 1000 0.1162005 109.1121 0.162 mif1 50 10
## 1001 0.1162005 109.1121 0.162 start 1 11
## 1002 0.1162005 109.1121 0.162 mif1 1 11
## 1003 0.1162005 109.1121 0.162 start 2 11
## 1004 0.1162005 109.1121 0.162 mif1 2 11
## 1005 0.1162005 109.1121 0.162 start 3 11
## 1006 0.1162005 109.1121 0.162 mif1 3 11
## 1007 0.1162005 109.1121 0.162 start 4 11
## 1008 0.1162005 109.1121 0.162 mif1 4 11
## 1009 0.1162005 109.1121 0.162 start 5 11
## 1010 0.1162005 109.1121 0.162 mif1 5 11
## 1011 0.1162005 109.1121 0.162 start 6 11
## 1012 0.1162005 109.1121 0.162 mif1 6 11
## 1013 0.1162005 109.1121 0.162 start 7 11
## 1014 0.1162005 109.1121 0.162 mif1 7 11
## 1015 0.1162005 109.1121 0.162 start 8 11
## 1016 0.1162005 109.1121 0.162 mif1 8 11
## 1017 0.1162005 109.1121 0.162 start 9 11
## 1018 0.1162005 109.1121 0.162 mif1 9 11
## 1019 0.1162005 109.1121 0.162 start 10 11
## 1020 0.1162005 109.1121 0.162 mif1 10 11
## 1021 0.1162005 109.1121 0.162 start 11 11
## 1022 0.1162005 109.1121 0.162 mif1 11 11
## 1023 0.1162005 109.1121 0.162 start 12 11
## 1024 0.1162005 109.1121 0.162 mif1 12 11
## 1025 0.1162005 109.1121 0.162 start 13 11
## 1026 0.1162005 109.1121 0.162 mif1 13 11
## 1027 0.1162005 109.1121 0.162 start 14 11
## 1028 0.1162005 109.1121 0.162 mif1 14 11
## 1029 0.1162005 109.1121 0.162 start 15 11
## 1030 0.1162005 109.1121 0.162 mif1 15 11
## 1031 0.1162005 109.1121 0.162 start 16 11
## 1032 0.1162005 109.1121 0.162 mif1 16 11
## 1033 0.1162005 109.1121 0.162 start 17 11
## 1034 0.1162005 109.1121 0.162 mif1 17 11
## 1035 0.1162005 109.1121 0.162 start 18 11
## 1036 0.1162005 109.1121 0.162 mif1 18 11
## 1037 0.1162005 109.1121 0.162 start 19 11
## 1038 0.1162005 109.1121 0.162 mif1 19 11
## 1039 0.1162005 109.1121 0.162 start 20 11
## 1040 0.1162005 109.1121 0.162 mif1 20 11
## 1041 0.1162005 109.1121 0.162 start 21 11
## 1042 0.1162005 109.1121 0.162 mif1 21 11
## 1043 0.1162005 109.1121 0.162 start 22 11
## 1044 0.1162005 109.1121 0.162 mif1 22 11
## 1045 0.1162005 109.1121 0.162 start 23 11
## 1046 0.1162005 109.1121 0.162 mif1 23 11
## 1047 0.1162005 109.1121 0.162 start 24 11
## 1048 0.1162005 109.1121 0.162 mif1 24 11
## 1049 0.1162005 109.1121 0.162 start 25 11
## 1050 0.1162005 109.1121 0.162 mif1 25 11
## 1051 0.1162005 109.1121 0.162 start 26 11
## 1052 0.1162005 109.1121 0.162 mif1 26 11
## 1053 0.1162005 109.1121 0.162 start 27 11
## 1054 0.1162005 109.1121 0.162 mif1 27 11
## 1055 0.1162005 109.1121 0.162 start 28 11
## 1056 0.1162005 109.1121 0.162 mif1 28 11
## 1057 0.1162005 109.1121 0.162 start 29 11
## 1058 0.1162005 109.1121 0.162 mif1 29 11
## 1059 0.1162005 109.1121 0.162 start 30 11
## 1060 0.1162005 109.1121 0.162 mif1 30 11
## 1061 0.1162005 109.1121 0.162 start 31 11
## 1062 0.1162005 109.1121 0.162 mif1 31 11
## 1063 0.1162005 109.1121 0.162 start 32 11
## 1064 0.1162005 109.1121 0.162 mif1 32 11
## 1065 0.1162005 109.1121 0.162 start 33 11
## 1066 0.1162005 109.1121 0.162 mif1 33 11
## 1067 0.1162005 109.1121 0.162 start 34 11
## 1068 0.1162005 109.1121 0.162 mif1 34 11
## 1069 0.1162005 109.1121 0.162 start 35 11
## 1070 0.1162005 109.1121 0.162 mif1 35 11
## 1071 0.1162005 109.1121 0.162 start 36 11
## 1072 0.1162005 109.1121 0.162 mif1 36 11
## 1073 0.1162005 109.1121 0.162 start 37 11
## 1074 0.1162005 109.1121 0.162 mif1 37 11
## 1075 0.1162005 109.1121 0.162 start 38 11
## 1076 0.1162005 109.1121 0.162 mif1 38 11
## 1077 0.1162005 109.1121 0.162 start 39 11
## 1078 0.1162005 109.1121 0.162 mif1 39 11
## 1079 0.1162005 109.1121 0.162 start 40 11
## 1080 0.1162005 109.1121 0.162 mif1 40 11
## 1081 0.1162005 109.1121 0.162 start 41 11
## 1082 0.1162005 109.1121 0.162 mif1 41 11
## 1083 0.1162005 109.1121 0.162 start 42 11
## 1084 0.1162005 109.1121 0.162 mif1 42 11
## 1085 0.1162005 109.1121 0.162 start 43 11
## 1086 0.1162005 109.1121 0.162 mif1 43 11
## 1087 0.1162005 109.1121 0.162 start 44 11
## 1088 0.1162005 109.1121 0.162 mif1 44 11
## 1089 0.1162005 109.1121 0.162 start 45 11
## 1090 0.1162005 109.1121 0.162 mif1 45 11
## 1091 0.1162005 109.1121 0.162 start 46 11
## 1092 0.1162005 109.1121 0.162 mif1 46 11
## 1093 0.1162005 109.1121 0.162 start 47 11
## 1094 0.1162005 109.1121 0.162 mif1 47 11
## 1095 0.1162005 109.1121 0.162 start 48 11
## 1096 0.1162005 109.1121 0.162 mif1 48 11
## 1097 0.1162005 109.1121 0.162 start 49 11
## 1098 0.1162005 109.1121 0.162 mif1 49 11
## 1099 0.1162005 109.1121 0.162 start 50 11
## 1100 0.1162005 109.1121 0.162 mif1 50 11
## 1101 0.1162005 109.1121 0.162 start 1 12
## 1102 0.1162005 109.1121 0.162 mif1 1 12
## 1103 0.1162005 109.1121 0.162 start 2 12
## 1104 0.1162005 109.1121 0.162 mif1 2 12
## 1105 0.1162005 109.1121 0.162 start 3 12
## 1106 0.1162005 109.1121 0.162 mif1 3 12
## 1107 0.1162005 109.1121 0.162 start 4 12
## 1108 0.1162005 109.1121 0.162 mif1 4 12
## 1109 0.1162005 109.1121 0.162 start 5 12
## 1110 0.1162005 109.1121 0.162 mif1 5 12
## 1111 0.1162005 109.1121 0.162 start 6 12
## 1112 0.1162005 109.1121 0.162 mif1 6 12
## 1113 0.1162005 109.1121 0.162 start 7 12
## 1114 0.1162005 109.1121 0.162 mif1 7 12
## 1115 0.1162005 109.1121 0.162 start 8 12
## 1116 0.1162005 109.1121 0.162 mif1 8 12
## 1117 0.1162005 109.1121 0.162 start 9 12
## 1118 0.1162005 109.1121 0.162 mif1 9 12
## 1119 0.1162005 109.1121 0.162 start 10 12
## 1120 0.1162005 109.1121 0.162 mif1 10 12
## 1121 0.1162005 109.1121 0.162 start 11 12
## 1122 0.1162005 109.1121 0.162 mif1 11 12
## 1123 0.1162005 109.1121 0.162 start 12 12
## 1124 0.1162005 109.1121 0.162 mif1 12 12
## 1125 0.1162005 109.1121 0.162 start 13 12
## 1126 0.1162005 109.1121 0.162 mif1 13 12
## 1127 0.1162005 109.1121 0.162 start 14 12
## 1128 0.1162005 109.1121 0.162 mif1 14 12
## 1129 0.1162005 109.1121 0.162 start 15 12
## 1130 0.1162005 109.1121 0.162 mif1 15 12
## 1131 0.1162005 109.1121 0.162 start 16 12
## 1132 0.1162005 109.1121 0.162 mif1 16 12
## 1133 0.1162005 109.1121 0.162 start 17 12
## 1134 0.1162005 109.1121 0.162 mif1 17 12
## 1135 0.1162005 109.1121 0.162 start 18 12
## 1136 0.1162005 109.1121 0.162 mif1 18 12
## 1137 0.1162005 109.1121 0.162 start 19 12
## 1138 0.1162005 109.1121 0.162 mif1 19 12
## 1139 0.1162005 109.1121 0.162 start 20 12
## 1140 0.1162005 109.1121 0.162 mif1 20 12
## 1141 0.1162005 109.1121 0.162 start 21 12
## 1142 0.1162005 109.1121 0.162 mif1 21 12
## 1143 0.1162005 109.1121 0.162 start 22 12
## 1144 0.1162005 109.1121 0.162 mif1 22 12
## 1145 0.1162005 109.1121 0.162 start 23 12
## 1146 0.1162005 109.1121 0.162 mif1 23 12
## 1147 0.1162005 109.1121 0.162 start 24 12
## 1148 0.1162005 109.1121 0.162 mif1 24 12
## 1149 0.1162005 109.1121 0.162 start 25 12
## 1150 0.1162005 109.1121 0.162 mif1 25 12
## 1151 0.1162005 109.1121 0.162 start 26 12
## 1152 0.1162005 109.1121 0.162 mif1 26 12
## 1153 0.1162005 109.1121 0.162 start 27 12
## 1154 0.1162005 109.1121 0.162 mif1 27 12
## 1155 0.1162005 109.1121 0.162 start 28 12
## 1156 0.1162005 109.1121 0.162 mif1 28 12
## 1157 0.1162005 109.1121 0.162 start 29 12
## 1158 0.1162005 109.1121 0.162 mif1 29 12
## 1159 0.1162005 109.1121 0.162 start 30 12
## 1160 0.1162005 109.1121 0.162 mif1 30 12
## 1161 0.1162005 109.1121 0.162 start 31 12
## 1162 0.1162005 109.1121 0.162 mif1 31 12
## 1163 0.1162005 109.1121 0.162 start 32 12
## 1164 0.1162005 109.1121 0.162 mif1 32 12
## 1165 0.1162005 109.1121 0.162 start 33 12
## 1166 0.1162005 109.1121 0.162 mif1 33 12
## 1167 0.1162005 109.1121 0.162 start 34 12
## 1168 0.1162005 109.1121 0.162 mif1 34 12
## 1169 0.1162005 109.1121 0.162 start 35 12
## 1170 0.1162005 109.1121 0.162 mif1 35 12
## 1171 0.1162005 109.1121 0.162 start 36 12
## 1172 0.1162005 109.1121 0.162 mif1 36 12
## 1173 0.1162005 109.1121 0.162 start 37 12
## 1174 0.1162005 109.1121 0.162 mif1 37 12
## 1175 0.1162005 109.1121 0.162 start 38 12
## 1176 0.1162005 109.1121 0.162 mif1 38 12
## 1177 0.1162005 109.1121 0.162 start 39 12
## 1178 0.1162005 109.1121 0.162 mif1 39 12
## 1179 0.1162005 109.1121 0.162 start 40 12
## 1180 0.1162005 109.1121 0.162 mif1 40 12
## 1181 0.1162005 109.1121 0.162 start 41 12
## 1182 0.1162005 109.1121 0.162 mif1 41 12
## 1183 0.1162005 109.1121 0.162 start 42 12
## 1184 0.1162005 109.1121 0.162 mif1 42 12
## 1185 0.1162005 109.1121 0.162 start 43 12
## 1186 0.1162005 109.1121 0.162 mif1 43 12
## 1187 0.1162005 109.1121 0.162 start 44 12
## 1188 0.1162005 109.1121 0.162 mif1 44 12
## 1189 0.1162005 109.1121 0.162 start 45 12
## 1190 0.1162005 109.1121 0.162 mif1 45 12
## 1191 0.1162005 109.1121 0.162 start 46 12
## 1192 0.1162005 109.1121 0.162 mif1 46 12
## 1193 0.1162005 109.1121 0.162 start 47 12
## 1194 0.1162005 109.1121 0.162 mif1 47 12
## 1195 0.1162005 109.1121 0.162 start 48 12
## 1196 0.1162005 109.1121 0.162 mif1 48 12
## 1197 0.1162005 109.1121 0.162 start 49 12
## 1198 0.1162005 109.1121 0.162 mif1 49 12
## 1199 0.1162005 109.1121 0.162 start 50 12
## 1200 0.1162005 109.1121 0.162 mif1 50 12
## 1201 0.1162005 109.1121 0.162 start 1 13
## 1202 0.1162005 109.1121 0.162 mif1 1 13
## 1203 0.1162005 109.1121 0.162 start 2 13
## 1204 0.1162005 109.1121 0.162 mif1 2 13
## 1205 0.1162005 109.1121 0.162 start 3 13
## 1206 0.1162005 109.1121 0.162 mif1 3 13
## 1207 0.1162005 109.1121 0.162 start 4 13
## 1208 0.1162005 109.1121 0.162 mif1 4 13
## 1209 0.1162005 109.1121 0.162 start 5 13
## 1210 0.1162005 109.1121 0.162 mif1 5 13
## 1211 0.1162005 109.1121 0.162 start 6 13
## 1212 0.1162005 109.1121 0.162 mif1 6 13
## 1213 0.1162005 109.1121 0.162 start 7 13
## 1214 0.1162005 109.1121 0.162 mif1 7 13
## 1215 0.1162005 109.1121 0.162 start 8 13
## 1216 0.1162005 109.1121 0.162 mif1 8 13
## 1217 0.1162005 109.1121 0.162 start 9 13
## 1218 0.1162005 109.1121 0.162 mif1 9 13
## 1219 0.1162005 109.1121 0.162 start 10 13
## 1220 0.1162005 109.1121 0.162 mif1 10 13
## 1221 0.1162005 109.1121 0.162 start 11 13
## 1222 0.1162005 109.1121 0.162 mif1 11 13
## 1223 0.1162005 109.1121 0.162 start 12 13
## 1224 0.1162005 109.1121 0.162 mif1 12 13
## 1225 0.1162005 109.1121 0.162 start 13 13
## 1226 0.1162005 109.1121 0.162 mif1 13 13
## 1227 0.1162005 109.1121 0.162 start 14 13
## 1228 0.1162005 109.1121 0.162 mif1 14 13
## 1229 0.1162005 109.1121 0.162 start 15 13
## 1230 0.1162005 109.1121 0.162 mif1 15 13
## 1231 0.1162005 109.1121 0.162 start 16 13
## 1232 0.1162005 109.1121 0.162 mif1 16 13
## 1233 0.1162005 109.1121 0.162 start 17 13
## 1234 0.1162005 109.1121 0.162 mif1 17 13
## 1235 0.1162005 109.1121 0.162 start 18 13
## 1236 0.1162005 109.1121 0.162 mif1 18 13
## 1237 0.1162005 109.1121 0.162 start 19 13
## 1238 0.1162005 109.1121 0.162 mif1 19 13
## 1239 0.1162005 109.1121 0.162 start 20 13
## 1240 0.1162005 109.1121 0.162 mif1 20 13
## 1241 0.1162005 109.1121 0.162 start 21 13
## 1242 0.1162005 109.1121 0.162 mif1 21 13
## 1243 0.1162005 109.1121 0.162 start 22 13
## 1244 0.1162005 109.1121 0.162 mif1 22 13
## 1245 0.1162005 109.1121 0.162 start 23 13
## 1246 0.1162005 109.1121 0.162 mif1 23 13
## 1247 0.1162005 109.1121 0.162 start 24 13
## 1248 0.1162005 109.1121 0.162 mif1 24 13
## 1249 0.1162005 109.1121 0.162 start 25 13
## 1250 0.1162005 109.1121 0.162 mif1 25 13
## 1251 0.1162005 109.1121 0.162 start 26 13
## 1252 0.1162005 109.1121 0.162 mif1 26 13
## 1253 0.1162005 109.1121 0.162 start 27 13
## 1254 0.1162005 109.1121 0.162 mif1 27 13
## 1255 0.1162005 109.1121 0.162 start 28 13
## 1256 0.1162005 109.1121 0.162 mif1 28 13
## 1257 0.1162005 109.1121 0.162 start 29 13
## 1258 0.1162005 109.1121 0.162 mif1 29 13
## 1259 0.1162005 109.1121 0.162 start 30 13
## 1260 0.1162005 109.1121 0.162 mif1 30 13
## 1261 0.1162005 109.1121 0.162 start 31 13
## 1262 0.1162005 109.1121 0.162 mif1 31 13
## 1263 0.1162005 109.1121 0.162 start 32 13
## 1264 0.1162005 109.1121 0.162 mif1 32 13
## 1265 0.1162005 109.1121 0.162 start 33 13
## 1266 0.1162005 109.1121 0.162 mif1 33 13
## 1267 0.1162005 109.1121 0.162 start 34 13
## 1268 0.1162005 109.1121 0.162 mif1 34 13
## 1269 0.1162005 109.1121 0.162 start 35 13
## 1270 0.1162005 109.1121 0.162 mif1 35 13
## 1271 0.1162005 109.1121 0.162 start 36 13
## 1272 0.1162005 109.1121 0.162 mif1 36 13
## 1273 0.1162005 109.1121 0.162 start 37 13
## 1274 0.1162005 109.1121 0.162 mif1 37 13
## 1275 0.1162005 109.1121 0.162 start 38 13
## 1276 0.1162005 109.1121 0.162 mif1 38 13
## 1277 0.1162005 109.1121 0.162 start 39 13
## 1278 0.1162005 109.1121 0.162 mif1 39 13
## 1279 0.1162005 109.1121 0.162 start 40 13
## 1280 0.1162005 109.1121 0.162 mif1 40 13
## 1281 0.1162005 109.1121 0.162 start 41 13
## 1282 0.1162005 109.1121 0.162 mif1 41 13
## 1283 0.1162005 109.1121 0.162 start 42 13
## 1284 0.1162005 109.1121 0.162 mif1 42 13
## 1285 0.1162005 109.1121 0.162 start 43 13
## 1286 0.1162005 109.1121 0.162 mif1 43 13
## 1287 0.1162005 109.1121 0.162 start 44 13
## 1288 0.1162005 109.1121 0.162 mif1 44 13
## 1289 0.1162005 109.1121 0.162 start 45 13
## 1290 0.1162005 109.1121 0.162 mif1 45 13
## 1291 0.1162005 109.1121 0.162 start 46 13
## 1292 0.1162005 109.1121 0.162 mif1 46 13
## 1293 0.1162005 109.1121 0.162 start 47 13
## 1294 0.1162005 109.1121 0.162 mif1 47 13
## 1295 0.1162005 109.1121 0.162 start 48 13
## 1296 0.1162005 109.1121 0.162 mif1 48 13
## 1297 0.1162005 109.1121 0.162 start 49 13
## 1298 0.1162005 109.1121 0.162 mif1 49 13
## 1299 0.1162005 109.1121 0.162 start 50 13
## 1300 0.1162005 109.1121 0.162 mif1 50 13
## 1301 0.1162005 109.1121 0.162 start 1 14
## 1302 0.1162005 109.1121 0.162 mif1 1 14
## 1303 0.1162005 109.1121 0.162 start 2 14
## 1304 0.1162005 109.1121 0.162 mif1 2 14
## 1305 0.1162005 109.1121 0.162 start 3 14
## 1306 0.1162005 109.1121 0.162 mif1 3 14
## 1307 0.1162005 109.1121 0.162 start 4 14
## 1308 0.1162005 109.1121 0.162 mif1 4 14
## 1309 0.1162005 109.1121 0.162 start 5 14
## 1310 0.1162005 109.1121 0.162 mif1 5 14
## 1311 0.1162005 109.1121 0.162 start 6 14
## 1312 0.1162005 109.1121 0.162 mif1 6 14
## 1313 0.1162005 109.1121 0.162 start 7 14
## 1314 0.1162005 109.1121 0.162 mif1 7 14
## 1315 0.1162005 109.1121 0.162 start 8 14
## 1316 0.1162005 109.1121 0.162 mif1 8 14
## 1317 0.1162005 109.1121 0.162 start 9 14
## 1318 0.1162005 109.1121 0.162 mif1 9 14
## 1319 0.1162005 109.1121 0.162 start 10 14
## 1320 0.1162005 109.1121 0.162 mif1 10 14
## 1321 0.1162005 109.1121 0.162 start 11 14
## 1322 0.1162005 109.1121 0.162 mif1 11 14
## 1323 0.1162005 109.1121 0.162 start 12 14
## 1324 0.1162005 109.1121 0.162 mif1 12 14
## 1325 0.1162005 109.1121 0.162 start 13 14
## 1326 0.1162005 109.1121 0.162 mif1 13 14
## 1327 0.1162005 109.1121 0.162 start 14 14
## 1328 0.1162005 109.1121 0.162 mif1 14 14
## 1329 0.1162005 109.1121 0.162 start 15 14
## 1330 0.1162005 109.1121 0.162 mif1 15 14
## 1331 0.1162005 109.1121 0.162 start 16 14
## 1332 0.1162005 109.1121 0.162 mif1 16 14
## 1333 0.1162005 109.1121 0.162 start 17 14
## 1334 0.1162005 109.1121 0.162 mif1 17 14
## 1335 0.1162005 109.1121 0.162 start 18 14
## 1336 0.1162005 109.1121 0.162 mif1 18 14
## 1337 0.1162005 109.1121 0.162 start 19 14
## 1338 0.1162005 109.1121 0.162 mif1 19 14
## 1339 0.1162005 109.1121 0.162 start 20 14
## 1340 0.1162005 109.1121 0.162 mif1 20 14
## 1341 0.1162005 109.1121 0.162 start 21 14
## 1342 0.1162005 109.1121 0.162 mif1 21 14
## 1343 0.1162005 109.1121 0.162 start 22 14
## 1344 0.1162005 109.1121 0.162 mif1 22 14
## 1345 0.1162005 109.1121 0.162 start 23 14
## 1346 0.1162005 109.1121 0.162 mif1 23 14
## 1347 0.1162005 109.1121 0.162 start 24 14
## 1348 0.1162005 109.1121 0.162 mif1 24 14
## 1349 0.1162005 109.1121 0.162 start 25 14
## 1350 0.1162005 109.1121 0.162 mif1 25 14
## 1351 0.1162005 109.1121 0.162 start 26 14
## 1352 0.1162005 109.1121 0.162 mif1 26 14
## 1353 0.1162005 109.1121 0.162 start 27 14
## 1354 0.1162005 109.1121 0.162 mif1 27 14
## 1355 0.1162005 109.1121 0.162 start 28 14
## 1356 0.1162005 109.1121 0.162 mif1 28 14
## 1357 0.1162005 109.1121 0.162 start 29 14
## 1358 0.1162005 109.1121 0.162 mif1 29 14
## 1359 0.1162005 109.1121 0.162 start 30 14
## 1360 0.1162005 109.1121 0.162 mif1 30 14
## 1361 0.1162005 109.1121 0.162 start 31 14
## 1362 0.1162005 109.1121 0.162 mif1 31 14
## 1363 0.1162005 109.1121 0.162 start 32 14
## 1364 0.1162005 109.1121 0.162 mif1 32 14
## 1365 0.1162005 109.1121 0.162 start 33 14
## 1366 0.1162005 109.1121 0.162 mif1 33 14
## 1367 0.1162005 109.1121 0.162 start 34 14
## 1368 0.1162005 109.1121 0.162 mif1 34 14
## 1369 0.1162005 109.1121 0.162 start 35 14
## 1370 0.1162005 109.1121 0.162 mif1 35 14
## 1371 0.1162005 109.1121 0.162 start 36 14
## 1372 0.1162005 109.1121 0.162 mif1 36 14
## 1373 0.1162005 109.1121 0.162 start 37 14
## 1374 0.1162005 109.1121 0.162 mif1 37 14
## 1375 0.1162005 109.1121 0.162 start 38 14
## 1376 0.1162005 109.1121 0.162 mif1 38 14
## 1377 0.1162005 109.1121 0.162 start 39 14
## 1378 0.1162005 109.1121 0.162 mif1 39 14
## 1379 0.1162005 109.1121 0.162 start 40 14
## 1380 0.1162005 109.1121 0.162 mif1 40 14
## 1381 0.1162005 109.1121 0.162 start 41 14
## 1382 0.1162005 109.1121 0.162 mif1 41 14
## 1383 0.1162005 109.1121 0.162 start 42 14
## 1384 0.1162005 109.1121 0.162 mif1 42 14
## 1385 0.1162005 109.1121 0.162 start 43 14
## 1386 0.1162005 109.1121 0.162 mif1 43 14
## 1387 0.1162005 109.1121 0.162 start 44 14
## 1388 0.1162005 109.1121 0.162 mif1 44 14
## 1389 0.1162005 109.1121 0.162 start 45 14
## 1390 0.1162005 109.1121 0.162 mif1 45 14
## 1391 0.1162005 109.1121 0.162 start 46 14
## 1392 0.1162005 109.1121 0.162 mif1 46 14
## 1393 0.1162005 109.1121 0.162 start 47 14
## 1394 0.1162005 109.1121 0.162 mif1 47 14
## 1395 0.1162005 109.1121 0.162 start 48 14
## 1396 0.1162005 109.1121 0.162 mif1 48 14
## 1397 0.1162005 109.1121 0.162 start 49 14
## 1398 0.1162005 109.1121 0.162 mif1 49 14
## 1399 0.1162005 109.1121 0.162 start 50 14
## 1400 0.1162005 109.1121 0.162 mif1 50 14
## 1401 0.1162005 109.1121 0.162 start 1 15
## 1402 0.1162005 109.1121 0.162 mif1 1 15
## 1403 0.1162005 109.1121 0.162 start 2 15
## 1404 0.1162005 109.1121 0.162 mif1 2 15
## 1405 0.1162005 109.1121 0.162 start 3 15
## 1406 0.1162005 109.1121 0.162 mif1 3 15
## 1407 0.1162005 109.1121 0.162 start 4 15
## 1408 0.1162005 109.1121 0.162 mif1 4 15
## 1409 0.1162005 109.1121 0.162 start 5 15
## 1410 0.1162005 109.1121 0.162 mif1 5 15
## 1411 0.1162005 109.1121 0.162 start 6 15
## 1412 0.1162005 109.1121 0.162 mif1 6 15
## 1413 0.1162005 109.1121 0.162 start 7 15
## 1414 0.1162005 109.1121 0.162 mif1 7 15
## 1415 0.1162005 109.1121 0.162 start 8 15
## 1416 0.1162005 109.1121 0.162 mif1 8 15
## 1417 0.1162005 109.1121 0.162 start 9 15
## 1418 0.1162005 109.1121 0.162 mif1 9 15
## 1419 0.1162005 109.1121 0.162 start 10 15
## 1420 0.1162005 109.1121 0.162 mif1 10 15
## 1421 0.1162005 109.1121 0.162 start 11 15
## 1422 0.1162005 109.1121 0.162 mif1 11 15
## 1423 0.1162005 109.1121 0.162 start 12 15
## 1424 0.1162005 109.1121 0.162 mif1 12 15
## 1425 0.1162005 109.1121 0.162 start 13 15
## 1426 0.1162005 109.1121 0.162 mif1 13 15
## 1427 0.1162005 109.1121 0.162 start 14 15
## 1428 0.1162005 109.1121 0.162 mif1 14 15
## 1429 0.1162005 109.1121 0.162 start 15 15
## 1430 0.1162005 109.1121 0.162 mif1 15 15
## 1431 0.1162005 109.1121 0.162 start 16 15
## 1432 0.1162005 109.1121 0.162 mif1 16 15
## 1433 0.1162005 109.1121 0.162 start 17 15
## 1434 0.1162005 109.1121 0.162 mif1 17 15
## 1435 0.1162005 109.1121 0.162 start 18 15
## 1436 0.1162005 109.1121 0.162 mif1 18 15
## 1437 0.1162005 109.1121 0.162 start 19 15
## 1438 0.1162005 109.1121 0.162 mif1 19 15
## 1439 0.1162005 109.1121 0.162 start 20 15
## 1440 0.1162005 109.1121 0.162 mif1 20 15
## 1441 0.1162005 109.1121 0.162 start 21 15
## 1442 0.1162005 109.1121 0.162 mif1 21 15
## 1443 0.1162005 109.1121 0.162 start 22 15
## 1444 0.1162005 109.1121 0.162 mif1 22 15
## 1445 0.1162005 109.1121 0.162 start 23 15
## 1446 0.1162005 109.1121 0.162 mif1 23 15
## 1447 0.1162005 109.1121 0.162 start 24 15
## 1448 0.1162005 109.1121 0.162 mif1 24 15
## 1449 0.1162005 109.1121 0.162 start 25 15
## 1450 0.1162005 109.1121 0.162 mif1 25 15
## 1451 0.1162005 109.1121 0.162 start 26 15
## 1452 0.1162005 109.1121 0.162 mif1 26 15
## 1453 0.1162005 109.1121 0.162 start 27 15
## 1454 0.1162005 109.1121 0.162 mif1 27 15
## 1455 0.1162005 109.1121 0.162 start 28 15
## 1456 0.1162005 109.1121 0.162 mif1 28 15
## 1457 0.1162005 109.1121 0.162 start 29 15
## 1458 0.1162005 109.1121 0.162 mif1 29 15
## 1459 0.1162005 109.1121 0.162 start 30 15
## 1460 0.1162005 109.1121 0.162 mif1 30 15
## 1461 0.1162005 109.1121 0.162 start 31 15
## 1462 0.1162005 109.1121 0.162 mif1 31 15
## 1463 0.1162005 109.1121 0.162 start 32 15
## 1464 0.1162005 109.1121 0.162 mif1 32 15
## 1465 0.1162005 109.1121 0.162 start 33 15
## 1466 0.1162005 109.1121 0.162 mif1 33 15
## 1467 0.1162005 109.1121 0.162 start 34 15
## 1468 0.1162005 109.1121 0.162 mif1 34 15
## 1469 0.1162005 109.1121 0.162 start 35 15
## 1470 0.1162005 109.1121 0.162 mif1 35 15
## 1471 0.1162005 109.1121 0.162 start 36 15
## 1472 0.1162005 109.1121 0.162 mif1 36 15
## 1473 0.1162005 109.1121 0.162 start 37 15
## 1474 0.1162005 109.1121 0.162 mif1 37 15
## 1475 0.1162005 109.1121 0.162 start 38 15
## 1476 0.1162005 109.1121 0.162 mif1 38 15
## 1477 0.1162005 109.1121 0.162 start 39 15
## 1478 0.1162005 109.1121 0.162 mif1 39 15
## 1479 0.1162005 109.1121 0.162 start 40 15
## 1480 0.1162005 109.1121 0.162 mif1 40 15
## 1481 0.1162005 109.1121 0.162 start 41 15
## 1482 0.1162005 109.1121 0.162 mif1 41 15
## 1483 0.1162005 109.1121 0.162 start 42 15
## 1484 0.1162005 109.1121 0.162 mif1 42 15
## 1485 0.1162005 109.1121 0.162 start 43 15
## 1486 0.1162005 109.1121 0.162 mif1 43 15
## 1487 0.1162005 109.1121 0.162 start 44 15
## 1488 0.1162005 109.1121 0.162 mif1 44 15
## 1489 0.1162005 109.1121 0.162 start 45 15
## 1490 0.1162005 109.1121 0.162 mif1 45 15
## 1491 0.1162005 109.1121 0.162 start 46 15
## 1492 0.1162005 109.1121 0.162 mif1 46 15
## 1493 0.1162005 109.1121 0.162 start 47 15
## 1494 0.1162005 109.1121 0.162 mif1 47 15
## 1495 0.1162005 109.1121 0.162 start 48 15
## 1496 0.1162005 109.1121 0.162 mif1 48 15
## 1497 0.1162005 109.1121 0.162 start 49 15
## 1498 0.1162005 109.1121 0.162 mif1 49 15
## 1499 0.1162005 109.1121 0.162 start 50 15
## 1500 0.1162005 109.1121 0.162 mif1 50 15
## 1501 0.1162005 109.1121 0.162 start 1 16
## 1502 0.1162005 109.1121 0.162 mif1 1 16
## 1503 0.1162005 109.1121 0.162 start 2 16
## 1504 0.1162005 109.1121 0.162 mif1 2 16
## 1505 0.1162005 109.1121 0.162 start 3 16
## 1506 0.1162005 109.1121 0.162 mif1 3 16
## 1507 0.1162005 109.1121 0.162 start 4 16
## 1508 0.1162005 109.1121 0.162 mif1 4 16
## 1509 0.1162005 109.1121 0.162 start 5 16
## 1510 0.1162005 109.1121 0.162 mif1 5 16
## 1511 0.1162005 109.1121 0.162 start 6 16
## 1512 0.1162005 109.1121 0.162 mif1 6 16
## 1513 0.1162005 109.1121 0.162 start 7 16
## 1514 0.1162005 109.1121 0.162 mif1 7 16
## 1515 0.1162005 109.1121 0.162 start 8 16
## 1516 0.1162005 109.1121 0.162 mif1 8 16
## 1517 0.1162005 109.1121 0.162 start 9 16
## 1518 0.1162005 109.1121 0.162 mif1 9 16
## 1519 0.1162005 109.1121 0.162 start 10 16
## 1520 0.1162005 109.1121 0.162 mif1 10 16
## 1521 0.1162005 109.1121 0.162 start 11 16
## 1522 0.1162005 109.1121 0.162 mif1 11 16
## 1523 0.1162005 109.1121 0.162 start 12 16
## 1524 0.1162005 109.1121 0.162 mif1 12 16
## 1525 0.1162005 109.1121 0.162 start 13 16
## 1526 0.1162005 109.1121 0.162 mif1 13 16
## 1527 0.1162005 109.1121 0.162 start 14 16
## 1528 0.1162005 109.1121 0.162 mif1 14 16
## 1529 0.1162005 109.1121 0.162 start 15 16
## 1530 0.1162005 109.1121 0.162 mif1 15 16
## 1531 0.1162005 109.1121 0.162 start 16 16
## 1532 0.1162005 109.1121 0.162 mif1 16 16
## 1533 0.1162005 109.1121 0.162 start 17 16
## 1534 0.1162005 109.1121 0.162 mif1 17 16
## 1535 0.1162005 109.1121 0.162 start 18 16
## 1536 0.1162005 109.1121 0.162 mif1 18 16
## 1537 0.1162005 109.1121 0.162 start 19 16
## 1538 0.1162005 109.1121 0.162 mif1 19 16
## 1539 0.1162005 109.1121 0.162 start 20 16
## 1540 0.1162005 109.1121 0.162 mif1 20 16
## 1541 0.1162005 109.1121 0.162 start 21 16
## 1542 0.1162005 109.1121 0.162 mif1 21 16
## 1543 0.1162005 109.1121 0.162 start 22 16
## 1544 0.1162005 109.1121 0.162 mif1 22 16
## 1545 0.1162005 109.1121 0.162 start 23 16
## 1546 0.1162005 109.1121 0.162 mif1 23 16
## 1547 0.1162005 109.1121 0.162 start 24 16
## 1548 0.1162005 109.1121 0.162 mif1 24 16
## 1549 0.1162005 109.1121 0.162 start 25 16
## 1550 0.1162005 109.1121 0.162 mif1 25 16
## 1551 0.1162005 109.1121 0.162 start 26 16
## 1552 0.1162005 109.1121 0.162 mif1 26 16
## 1553 0.1162005 109.1121 0.162 start 27 16
## 1554 0.1162005 109.1121 0.162 mif1 27 16
## 1555 0.1162005 109.1121 0.162 start 28 16
## 1556 0.1162005 109.1121 0.162 mif1 28 16
## 1557 0.1162005 109.1121 0.162 start 29 16
## 1558 0.1162005 109.1121 0.162 mif1 29 16
## 1559 0.1162005 109.1121 0.162 start 30 16
## 1560 0.1162005 109.1121 0.162 mif1 30 16
## 1561 0.1162005 109.1121 0.162 start 31 16
## 1562 0.1162005 109.1121 0.162 mif1 31 16
## 1563 0.1162005 109.1121 0.162 start 32 16
## 1564 0.1162005 109.1121 0.162 mif1 32 16
## 1565 0.1162005 109.1121 0.162 start 33 16
## 1566 0.1162005 109.1121 0.162 mif1 33 16
## 1567 0.1162005 109.1121 0.162 start 34 16
## 1568 0.1162005 109.1121 0.162 mif1 34 16
## 1569 0.1162005 109.1121 0.162 start 35 16
## 1570 0.1162005 109.1121 0.162 mif1 35 16
## 1571 0.1162005 109.1121 0.162 start 36 16
## 1572 0.1162005 109.1121 0.162 mif1 36 16
## 1573 0.1162005 109.1121 0.162 start 37 16
## 1574 0.1162005 109.1121 0.162 mif1 37 16
## 1575 0.1162005 109.1121 0.162 start 38 16
## 1576 0.1162005 109.1121 0.162 mif1 38 16
## 1577 0.1162005 109.1121 0.162 start 39 16
## 1578 0.1162005 109.1121 0.162 mif1 39 16
## 1579 0.1162005 109.1121 0.162 start 40 16
## 1580 0.1162005 109.1121 0.162 mif1 40 16
## 1581 0.1162005 109.1121 0.162 start 41 16
## 1582 0.1162005 109.1121 0.162 mif1 41 16
## 1583 0.1162005 109.1121 0.162 start 42 16
## 1584 0.1162005 109.1121 0.162 mif1 42 16
## 1585 0.1162005 109.1121 0.162 start 43 16
## 1586 0.1162005 109.1121 0.162 mif1 43 16
## 1587 0.1162005 109.1121 0.162 start 44 16
## 1588 0.1162005 109.1121 0.162 mif1 44 16
## 1589 0.1162005 109.1121 0.162 start 45 16
## 1590 0.1162005 109.1121 0.162 mif1 45 16
## 1591 0.1162005 109.1121 0.162 start 46 16
## 1592 0.1162005 109.1121 0.162 mif1 46 16
## 1593 0.1162005 109.1121 0.162 start 47 16
## 1594 0.1162005 109.1121 0.162 mif1 47 16
## 1595 0.1162005 109.1121 0.162 start 48 16
## 1596 0.1162005 109.1121 0.162 mif1 48 16
## 1597 0.1162005 109.1121 0.162 start 49 16
## 1598 0.1162005 109.1121 0.162 mif1 49 16
## 1599 0.1162005 109.1121 0.162 start 50 16
## 1600 0.1162005 109.1121 0.162 mif1 50 16
## 1601 0.1162005 109.1121 0.162 start 1 17
## 1602 0.1162005 109.1121 0.162 mif1 1 17
## 1603 0.1162005 109.1121 0.162 start 2 17
## 1604 0.1162005 109.1121 0.162 mif1 2 17
## 1605 0.1162005 109.1121 0.162 start 3 17
## 1606 0.1162005 109.1121 0.162 mif1 3 17
## 1607 0.1162005 109.1121 0.162 start 4 17
## 1608 0.1162005 109.1121 0.162 mif1 4 17
## 1609 0.1162005 109.1121 0.162 start 5 17
## 1610 0.1162005 109.1121 0.162 mif1 5 17
## 1611 0.1162005 109.1121 0.162 start 6 17
## 1612 0.1162005 109.1121 0.162 mif1 6 17
## 1613 0.1162005 109.1121 0.162 start 7 17
## 1614 0.1162005 109.1121 0.162 mif1 7 17
## 1615 0.1162005 109.1121 0.162 start 8 17
## 1616 0.1162005 109.1121 0.162 mif1 8 17
## 1617 0.1162005 109.1121 0.162 start 9 17
## 1618 0.1162005 109.1121 0.162 mif1 9 17
## 1619 0.1162005 109.1121 0.162 start 10 17
## 1620 0.1162005 109.1121 0.162 mif1 10 17
## 1621 0.1162005 109.1121 0.162 start 11 17
## 1622 0.1162005 109.1121 0.162 mif1 11 17
## 1623 0.1162005 109.1121 0.162 start 12 17
## 1624 0.1162005 109.1121 0.162 mif1 12 17
## 1625 0.1162005 109.1121 0.162 start 13 17
## 1626 0.1162005 109.1121 0.162 mif1 13 17
## 1627 0.1162005 109.1121 0.162 start 14 17
## 1628 0.1162005 109.1121 0.162 mif1 14 17
## 1629 0.1162005 109.1121 0.162 start 15 17
## 1630 0.1162005 109.1121 0.162 mif1 15 17
## 1631 0.1162005 109.1121 0.162 start 16 17
## 1632 0.1162005 109.1121 0.162 mif1 16 17
## 1633 0.1162005 109.1121 0.162 start 17 17
## 1634 0.1162005 109.1121 0.162 mif1 17 17
## 1635 0.1162005 109.1121 0.162 start 18 17
## 1636 0.1162005 109.1121 0.162 mif1 18 17
## 1637 0.1162005 109.1121 0.162 start 19 17
## 1638 0.1162005 109.1121 0.162 mif1 19 17
## 1639 0.1162005 109.1121 0.162 start 20 17
## 1640 0.1162005 109.1121 0.162 mif1 20 17
## 1641 0.1162005 109.1121 0.162 start 21 17
## 1642 0.1162005 109.1121 0.162 mif1 21 17
## 1643 0.1162005 109.1121 0.162 start 22 17
## 1644 0.1162005 109.1121 0.162 mif1 22 17
## 1645 0.1162005 109.1121 0.162 start 23 17
## 1646 0.1162005 109.1121 0.162 mif1 23 17
## 1647 0.1162005 109.1121 0.162 start 24 17
## 1648 0.1162005 109.1121 0.162 mif1 24 17
## 1649 0.1162005 109.1121 0.162 start 25 17
## 1650 0.1162005 109.1121 0.162 mif1 25 17
## 1651 0.1162005 109.1121 0.162 start 26 17
## 1652 0.1162005 109.1121 0.162 mif1 26 17
## 1653 0.1162005 109.1121 0.162 start 27 17
## 1654 0.1162005 109.1121 0.162 mif1 27 17
## 1655 0.1162005 109.1121 0.162 start 28 17
## 1656 0.1162005 109.1121 0.162 mif1 28 17
## 1657 0.1162005 109.1121 0.162 start 29 17
## 1658 0.1162005 109.1121 0.162 mif1 29 17
## 1659 0.1162005 109.1121 0.162 start 30 17
## 1660 0.1162005 109.1121 0.162 mif1 30 17
## 1661 0.1162005 109.1121 0.162 start 31 17
## 1662 0.1162005 109.1121 0.162 mif1 31 17
## 1663 0.1162005 109.1121 0.162 start 32 17
## 1664 0.1162005 109.1121 0.162 mif1 32 17
## 1665 0.1162005 109.1121 0.162 start 33 17
## 1666 0.1162005 109.1121 0.162 mif1 33 17
## 1667 0.1162005 109.1121 0.162 start 34 17
## 1668 0.1162005 109.1121 0.162 mif1 34 17
## 1669 0.1162005 109.1121 0.162 start 35 17
## 1670 0.1162005 109.1121 0.162 mif1 35 17
## 1671 0.1162005 109.1121 0.162 start 36 17
## 1672 0.1162005 109.1121 0.162 mif1 36 17
## 1673 0.1162005 109.1121 0.162 start 37 17
## 1674 0.1162005 109.1121 0.162 mif1 37 17
## 1675 0.1162005 109.1121 0.162 start 38 17
## 1676 0.1162005 109.1121 0.162 mif1 38 17
## 1677 0.1162005 109.1121 0.162 start 39 17
## 1678 0.1162005 109.1121 0.162 mif1 39 17
## 1679 0.1162005 109.1121 0.162 start 40 17
## 1680 0.1162005 109.1121 0.162 mif1 40 17
## 1681 0.1162005 109.1121 0.162 start 41 17
## 1682 0.1162005 109.1121 0.162 mif1 41 17
## 1683 0.1162005 109.1121 0.162 start 42 17
## 1684 0.1162005 109.1121 0.162 mif1 42 17
## 1685 0.1162005 109.1121 0.162 start 43 17
## 1686 0.1162005 109.1121 0.162 mif1 43 17
## 1687 0.1162005 109.1121 0.162 start 44 17
## 1688 0.1162005 109.1121 0.162 mif1 44 17
## 1689 0.1162005 109.1121 0.162 start 45 17
## 1690 0.1162005 109.1121 0.162 mif1 45 17
## 1691 0.1162005 109.1121 0.162 start 46 17
## 1692 0.1162005 109.1121 0.162 mif1 46 17
## 1693 0.1162005 109.1121 0.162 start 47 17
## 1694 0.1162005 109.1121 0.162 mif1 47 17
## 1695 0.1162005 109.1121 0.162 start 48 17
## 1696 0.1162005 109.1121 0.162 mif1 48 17
## 1697 0.1162005 109.1121 0.162 start 49 17
## 1698 0.1162005 109.1121 0.162 mif1 49 17
## 1699 0.1162005 109.1121 0.162 start 50 17
## 1700 0.1162005 109.1121 0.162 mif1 50 17
## 1701 0.1162005 109.1121 0.162 start 1 18
## 1702 0.1162005 109.1121 0.162 mif1 1 18
## 1703 0.1162005 109.1121 0.162 start 2 18
## 1704 0.1162005 109.1121 0.162 mif1 2 18
## 1705 0.1162005 109.1121 0.162 start 3 18
## 1706 0.1162005 109.1121 0.162 mif1 3 18
## 1707 0.1162005 109.1121 0.162 start 4 18
## 1708 0.1162005 109.1121 0.162 mif1 4 18
## 1709 0.1162005 109.1121 0.162 start 5 18
## 1710 0.1162005 109.1121 0.162 mif1 5 18
## 1711 0.1162005 109.1121 0.162 start 6 18
## 1712 0.1162005 109.1121 0.162 mif1 6 18
## 1713 0.1162005 109.1121 0.162 start 7 18
## 1714 0.1162005 109.1121 0.162 mif1 7 18
## 1715 0.1162005 109.1121 0.162 start 8 18
## 1716 0.1162005 109.1121 0.162 mif1 8 18
## 1717 0.1162005 109.1121 0.162 start 9 18
## 1718 0.1162005 109.1121 0.162 mif1 9 18
## 1719 0.1162005 109.1121 0.162 start 10 18
## 1720 0.1162005 109.1121 0.162 mif1 10 18
## 1721 0.1162005 109.1121 0.162 start 11 18
## 1722 0.1162005 109.1121 0.162 mif1 11 18
## 1723 0.1162005 109.1121 0.162 start 12 18
## 1724 0.1162005 109.1121 0.162 mif1 12 18
## 1725 0.1162005 109.1121 0.162 start 13 18
## 1726 0.1162005 109.1121 0.162 mif1 13 18
## 1727 0.1162005 109.1121 0.162 start 14 18
## 1728 0.1162005 109.1121 0.162 mif1 14 18
## 1729 0.1162005 109.1121 0.162 start 15 18
## 1730 0.1162005 109.1121 0.162 mif1 15 18
## 1731 0.1162005 109.1121 0.162 start 16 18
## 1732 0.1162005 109.1121 0.162 mif1 16 18
## 1733 0.1162005 109.1121 0.162 start 17 18
## 1734 0.1162005 109.1121 0.162 mif1 17 18
## 1735 0.1162005 109.1121 0.162 start 18 18
## 1736 0.1162005 109.1121 0.162 mif1 18 18
## 1737 0.1162005 109.1121 0.162 start 19 18
## 1738 0.1162005 109.1121 0.162 mif1 19 18
## 1739 0.1162005 109.1121 0.162 start 20 18
## 1740 0.1162005 109.1121 0.162 mif1 20 18
## 1741 0.1162005 109.1121 0.162 start 21 18
## 1742 0.1162005 109.1121 0.162 mif1 21 18
## 1743 0.1162005 109.1121 0.162 start 22 18
## 1744 0.1162005 109.1121 0.162 mif1 22 18
## 1745 0.1162005 109.1121 0.162 start 23 18
## 1746 0.1162005 109.1121 0.162 mif1 23 18
## 1747 0.1162005 109.1121 0.162 start 24 18
## 1748 0.1162005 109.1121 0.162 mif1 24 18
## 1749 0.1162005 109.1121 0.162 start 25 18
## 1750 0.1162005 109.1121 0.162 mif1 25 18
## 1751 0.1162005 109.1121 0.162 start 26 18
## 1752 0.1162005 109.1121 0.162 mif1 26 18
## 1753 0.1162005 109.1121 0.162 start 27 18
## 1754 0.1162005 109.1121 0.162 mif1 27 18
## 1755 0.1162005 109.1121 0.162 start 28 18
## 1756 0.1162005 109.1121 0.162 mif1 28 18
## 1757 0.1162005 109.1121 0.162 start 29 18
## 1758 0.1162005 109.1121 0.162 mif1 29 18
## 1759 0.1162005 109.1121 0.162 start 30 18
## 1760 0.1162005 109.1121 0.162 mif1 30 18
## 1761 0.1162005 109.1121 0.162 start 31 18
## 1762 0.1162005 109.1121 0.162 mif1 31 18
## 1763 0.1162005 109.1121 0.162 start 32 18
## 1764 0.1162005 109.1121 0.162 mif1 32 18
## 1765 0.1162005 109.1121 0.162 start 33 18
## 1766 0.1162005 109.1121 0.162 mif1 33 18
## 1767 0.1162005 109.1121 0.162 start 34 18
## 1768 0.1162005 109.1121 0.162 mif1 34 18
## 1769 0.1162005 109.1121 0.162 start 35 18
## 1770 0.1162005 109.1121 0.162 mif1 35 18
## 1771 0.1162005 109.1121 0.162 start 36 18
## 1772 0.1162005 109.1121 0.162 mif1 36 18
## 1773 0.1162005 109.1121 0.162 start 37 18
## 1774 0.1162005 109.1121 0.162 mif1 37 18
## 1775 0.1162005 109.1121 0.162 start 38 18
## 1776 0.1162005 109.1121 0.162 mif1 38 18
## 1777 0.1162005 109.1121 0.162 start 39 18
## 1778 0.1162005 109.1121 0.162 mif1 39 18
## 1779 0.1162005 109.1121 0.162 start 40 18
## 1780 0.1162005 109.1121 0.162 mif1 40 18
## 1781 0.1162005 109.1121 0.162 start 41 18
## 1782 0.1162005 109.1121 0.162 mif1 41 18
## 1783 0.1162005 109.1121 0.162 start 42 18
## 1784 0.1162005 109.1121 0.162 mif1 42 18
## 1785 0.1162005 109.1121 0.162 start 43 18
## 1786 0.1162005 109.1121 0.162 mif1 43 18
## 1787 0.1162005 109.1121 0.162 start 44 18
## 1788 0.1162005 109.1121 0.162 mif1 44 18
## 1789 0.1162005 109.1121 0.162 start 45 18
## 1790 0.1162005 109.1121 0.162 mif1 45 18
## 1791 0.1162005 109.1121 0.162 start 46 18
## 1792 0.1162005 109.1121 0.162 mif1 46 18
## 1793 0.1162005 109.1121 0.162 start 47 18
## 1794 0.1162005 109.1121 0.162 mif1 47 18
## 1795 0.1162005 109.1121 0.162 start 48 18
## 1796 0.1162005 109.1121 0.162 mif1 48 18
## 1797 0.1162005 109.1121 0.162 start 49 18
## 1798 0.1162005 109.1121 0.162 mif1 49 18
## 1799 0.1162005 109.1121 0.162 start 50 18
## 1800 0.1162005 109.1121 0.162 mif1 50 18
## 1801 0.1162005 109.1121 0.162 start 1 19
## 1802 0.1162005 109.1121 0.162 mif1 1 19
## 1803 0.1162005 109.1121 0.162 start 2 19
## 1804 0.1162005 109.1121 0.162 mif1 2 19
## 1805 0.1162005 109.1121 0.162 start 3 19
## 1806 0.1162005 109.1121 0.162 mif1 3 19
## 1807 0.1162005 109.1121 0.162 start 4 19
## 1808 0.1162005 109.1121 0.162 mif1 4 19
## 1809 0.1162005 109.1121 0.162 start 5 19
## 1810 0.1162005 109.1121 0.162 mif1 5 19
## 1811 0.1162005 109.1121 0.162 start 6 19
## 1812 0.1162005 109.1121 0.162 mif1 6 19
## 1813 0.1162005 109.1121 0.162 start 7 19
## 1814 0.1162005 109.1121 0.162 mif1 7 19
## 1815 0.1162005 109.1121 0.162 start 8 19
## 1816 0.1162005 109.1121 0.162 mif1 8 19
## 1817 0.1162005 109.1121 0.162 start 9 19
## 1818 0.1162005 109.1121 0.162 mif1 9 19
## 1819 0.1162005 109.1121 0.162 start 10 19
## 1820 0.1162005 109.1121 0.162 mif1 10 19
## 1821 0.1162005 109.1121 0.162 start 11 19
## 1822 0.1162005 109.1121 0.162 mif1 11 19
## 1823 0.1162005 109.1121 0.162 start 12 19
## 1824 0.1162005 109.1121 0.162 mif1 12 19
## 1825 0.1162005 109.1121 0.162 start 13 19
## 1826 0.1162005 109.1121 0.162 mif1 13 19
## 1827 0.1162005 109.1121 0.162 start 14 19
## 1828 0.1162005 109.1121 0.162 mif1 14 19
## 1829 0.1162005 109.1121 0.162 start 15 19
## 1830 0.1162005 109.1121 0.162 mif1 15 19
## 1831 0.1162005 109.1121 0.162 start 16 19
## 1832 0.1162005 109.1121 0.162 mif1 16 19
## 1833 0.1162005 109.1121 0.162 start 17 19
## 1834 0.1162005 109.1121 0.162 mif1 17 19
## 1835 0.1162005 109.1121 0.162 start 18 19
## 1836 0.1162005 109.1121 0.162 mif1 18 19
## 1837 0.1162005 109.1121 0.162 start 19 19
## 1838 0.1162005 109.1121 0.162 mif1 19 19
## 1839 0.1162005 109.1121 0.162 start 20 19
## 1840 0.1162005 109.1121 0.162 mif1 20 19
## 1841 0.1162005 109.1121 0.162 start 21 19
## 1842 0.1162005 109.1121 0.162 mif1 21 19
## 1843 0.1162005 109.1121 0.162 start 22 19
## 1844 0.1162005 109.1121 0.162 mif1 22 19
## 1845 0.1162005 109.1121 0.162 start 23 19
## 1846 0.1162005 109.1121 0.162 mif1 23 19
## 1847 0.1162005 109.1121 0.162 start 24 19
## 1848 0.1162005 109.1121 0.162 mif1 24 19
## 1849 0.1162005 109.1121 0.162 start 25 19
## 1850 0.1162005 109.1121 0.162 mif1 25 19
## 1851 0.1162005 109.1121 0.162 start 26 19
## 1852 0.1162005 109.1121 0.162 mif1 26 19
## 1853 0.1162005 109.1121 0.162 start 27 19
## 1854 0.1162005 109.1121 0.162 mif1 27 19
## 1855 0.1162005 109.1121 0.162 start 28 19
## 1856 0.1162005 109.1121 0.162 mif1 28 19
## 1857 0.1162005 109.1121 0.162 start 29 19
## 1858 0.1162005 109.1121 0.162 mif1 29 19
## 1859 0.1162005 109.1121 0.162 start 30 19
## 1860 0.1162005 109.1121 0.162 mif1 30 19
## 1861 0.1162005 109.1121 0.162 start 31 19
## 1862 0.1162005 109.1121 0.162 mif1 31 19
## 1863 0.1162005 109.1121 0.162 start 32 19
## 1864 0.1162005 109.1121 0.162 mif1 32 19
## 1865 0.1162005 109.1121 0.162 start 33 19
## 1866 0.1162005 109.1121 0.162 mif1 33 19
## 1867 0.1162005 109.1121 0.162 start 34 19
## 1868 0.1162005 109.1121 0.162 mif1 34 19
## 1869 0.1162005 109.1121 0.162 start 35 19
## 1870 0.1162005 109.1121 0.162 mif1 35 19
## 1871 0.1162005 109.1121 0.162 start 36 19
## 1872 0.1162005 109.1121 0.162 mif1 36 19
## 1873 0.1162005 109.1121 0.162 start 37 19
## 1874 0.1162005 109.1121 0.162 mif1 37 19
## 1875 0.1162005 109.1121 0.162 start 38 19
## 1876 0.1162005 109.1121 0.162 mif1 38 19
## 1877 0.1162005 109.1121 0.162 start 39 19
## 1878 0.1162005 109.1121 0.162 mif1 39 19
## 1879 0.1162005 109.1121 0.162 start 40 19
## 1880 0.1162005 109.1121 0.162 mif1 40 19
## 1881 0.1162005 109.1121 0.162 start 41 19
## 1882 0.1162005 109.1121 0.162 mif1 41 19
## 1883 0.1162005 109.1121 0.162 start 42 19
## 1884 0.1162005 109.1121 0.162 mif1 42 19
## 1885 0.1162005 109.1121 0.162 start 43 19
## 1886 0.1162005 109.1121 0.162 mif1 43 19
## 1887 0.1162005 109.1121 0.162 start 44 19
## 1888 0.1162005 109.1121 0.162 mif1 44 19
## 1889 0.1162005 109.1121 0.162 start 45 19
## 1890 0.1162005 109.1121 0.162 mif1 45 19
## 1891 0.1162005 109.1121 0.162 start 46 19
## 1892 0.1162005 109.1121 0.162 mif1 46 19
## 1893 0.1162005 109.1121 0.162 start 47 19
## 1894 0.1162005 109.1121 0.162 mif1 47 19
## 1895 0.1162005 109.1121 0.162 start 48 19
## 1896 0.1162005 109.1121 0.162 mif1 48 19
## 1897 0.1162005 109.1121 0.162 start 49 19
## 1898 0.1162005 109.1121 0.162 mif1 49 19
## 1899 0.1162005 109.1121 0.162 start 50 19
## 1900 0.1162005 109.1121 0.162 mif1 50 19
## 1901 0.1162005 109.1121 0.162 start 1 20
## 1902 0.1162005 109.1121 0.162 mif1 1 20
## 1903 0.1162005 109.1121 0.162 start 2 20
## 1904 0.1162005 109.1121 0.162 mif1 2 20
## 1905 0.1162005 109.1121 0.162 start 3 20
## 1906 0.1162005 109.1121 0.162 mif1 3 20
## 1907 0.1162005 109.1121 0.162 start 4 20
## 1908 0.1162005 109.1121 0.162 mif1 4 20
## 1909 0.1162005 109.1121 0.162 start 5 20
## 1910 0.1162005 109.1121 0.162 mif1 5 20
## 1911 0.1162005 109.1121 0.162 start 6 20
## 1912 0.1162005 109.1121 0.162 mif1 6 20
## 1913 0.1162005 109.1121 0.162 start 7 20
## 1914 0.1162005 109.1121 0.162 mif1 7 20
## 1915 0.1162005 109.1121 0.162 start 8 20
## 1916 0.1162005 109.1121 0.162 mif1 8 20
## 1917 0.1162005 109.1121 0.162 start 9 20
## 1918 0.1162005 109.1121 0.162 mif1 9 20
## 1919 0.1162005 109.1121 0.162 start 10 20
## 1920 0.1162005 109.1121 0.162 mif1 10 20
## 1921 0.1162005 109.1121 0.162 start 11 20
## 1922 0.1162005 109.1121 0.162 mif1 11 20
## 1923 0.1162005 109.1121 0.162 start 12 20
## 1924 0.1162005 109.1121 0.162 mif1 12 20
## 1925 0.1162005 109.1121 0.162 start 13 20
## 1926 0.1162005 109.1121 0.162 mif1 13 20
## 1927 0.1162005 109.1121 0.162 start 14 20
## 1928 0.1162005 109.1121 0.162 mif1 14 20
## 1929 0.1162005 109.1121 0.162 start 15 20
## 1930 0.1162005 109.1121 0.162 mif1 15 20
## 1931 0.1162005 109.1121 0.162 start 16 20
## 1932 0.1162005 109.1121 0.162 mif1 16 20
## 1933 0.1162005 109.1121 0.162 start 17 20
## 1934 0.1162005 109.1121 0.162 mif1 17 20
## 1935 0.1162005 109.1121 0.162 start 18 20
## 1936 0.1162005 109.1121 0.162 mif1 18 20
## 1937 0.1162005 109.1121 0.162 start 19 20
## 1938 0.1162005 109.1121 0.162 mif1 19 20
## 1939 0.1162005 109.1121 0.162 start 20 20
## 1940 0.1162005 109.1121 0.162 mif1 20 20
## 1941 0.1162005 109.1121 0.162 start 21 20
## 1942 0.1162005 109.1121 0.162 mif1 21 20
## 1943 0.1162005 109.1121 0.162 start 22 20
## 1944 0.1162005 109.1121 0.162 mif1 22 20
## 1945 0.1162005 109.1121 0.162 start 23 20
## 1946 0.1162005 109.1121 0.162 mif1 23 20
## 1947 0.1162005 109.1121 0.162 start 24 20
## 1948 0.1162005 109.1121 0.162 mif1 24 20
## 1949 0.1162005 109.1121 0.162 start 25 20
## 1950 0.1162005 109.1121 0.162 mif1 25 20
## 1951 0.1162005 109.1121 0.162 start 26 20
## 1952 0.1162005 109.1121 0.162 mif1 26 20
## 1953 0.1162005 109.1121 0.162 start 27 20
## 1954 0.1162005 109.1121 0.162 mif1 27 20
## 1955 0.1162005 109.1121 0.162 start 28 20
## 1956 0.1162005 109.1121 0.162 mif1 28 20
## 1957 0.1162005 109.1121 0.162 start 29 20
## 1958 0.1162005 109.1121 0.162 mif1 29 20
## 1959 0.1162005 109.1121 0.162 start 30 20
## 1960 0.1162005 109.1121 0.162 mif1 30 20
## 1961 0.1162005 109.1121 0.162 start 31 20
## 1962 0.1162005 109.1121 0.162 mif1 31 20
## 1963 0.1162005 109.1121 0.162 start 32 20
## 1964 0.1162005 109.1121 0.162 mif1 32 20
## 1965 0.1162005 109.1121 0.162 start 33 20
## 1966 0.1162005 109.1121 0.162 mif1 33 20
## 1967 0.1162005 109.1121 0.162 start 34 20
## 1968 0.1162005 109.1121 0.162 mif1 34 20
## 1969 0.1162005 109.1121 0.162 start 35 20
## 1970 0.1162005 109.1121 0.162 mif1 35 20
## 1971 0.1162005 109.1121 0.162 start 36 20
## 1972 0.1162005 109.1121 0.162 mif1 36 20
## 1973 0.1162005 109.1121 0.162 start 37 20
## 1974 0.1162005 109.1121 0.162 mif1 37 20
## 1975 0.1162005 109.1121 0.162 start 38 20
## 1976 0.1162005 109.1121 0.162 mif1 38 20
## 1977 0.1162005 109.1121 0.162 start 39 20
## 1978 0.1162005 109.1121 0.162 mif1 39 20
## 1979 0.1162005 109.1121 0.162 start 40 20
## 1980 0.1162005 109.1121 0.162 mif1 40 20
## 1981 0.1162005 109.1121 0.162 start 41 20
## 1982 0.1162005 109.1121 0.162 mif1 41 20
## 1983 0.1162005 109.1121 0.162 start 42 20
## 1984 0.1162005 109.1121 0.162 mif1 42 20
## 1985 0.1162005 109.1121 0.162 start 43 20
## 1986 0.1162005 109.1121 0.162 mif1 43 20
## 1987 0.1162005 109.1121 0.162 start 44 20
## 1988 0.1162005 109.1121 0.162 mif1 44 20
## 1989 0.1162005 109.1121 0.162 start 45 20
## 1990 0.1162005 109.1121 0.162 mif1 45 20
## 1991 0.1162005 109.1121 0.162 start 46 20
## 1992 0.1162005 109.1121 0.162 mif1 46 20
## 1993 0.1162005 109.1121 0.162 start 47 20
## 1994 0.1162005 109.1121 0.162 mif1 47 20
## 1995 0.1162005 109.1121 0.162 start 48 20
## 1996 0.1162005 109.1121 0.162 mif1 48 20
## 1997 0.1162005 109.1121 0.162 start 49 20
## 1998 0.1162005 109.1121 0.162 mif1 49 20
## 1999 0.1162005 109.1121 0.162 start 50 20
## 2000 0.1162005 109.1121 0.162 mif1 50 20
## 2001 0.1162005 109.1121 0.162 start 1 21
## 2002 0.1162005 109.1121 0.162 mif1 1 21
## 2003 0.1162005 109.1121 0.162 start 2 21
## 2004 0.1162005 109.1121 0.162 mif1 2 21
## 2005 0.1162005 109.1121 0.162 start 3 21
## 2006 0.1162005 109.1121 0.162 mif1 3 21
## 2007 0.1162005 109.1121 0.162 start 4 21
## 2008 0.1162005 109.1121 0.162 mif1 4 21
## 2009 0.1162005 109.1121 0.162 start 5 21
## 2010 0.1162005 109.1121 0.162 mif1 5 21
## 2011 0.1162005 109.1121 0.162 start 6 21
## 2012 0.1162005 109.1121 0.162 mif1 6 21
## 2013 0.1162005 109.1121 0.162 start 7 21
## 2014 0.1162005 109.1121 0.162 mif1 7 21
## 2015 0.1162005 109.1121 0.162 start 8 21
## 2016 0.1162005 109.1121 0.162 mif1 8 21
## 2017 0.1162005 109.1121 0.162 start 9 21
## 2018 0.1162005 109.1121 0.162 mif1 9 21
## 2019 0.1162005 109.1121 0.162 start 10 21
## 2020 0.1162005 109.1121 0.162 mif1 10 21
## 2021 0.1162005 109.1121 0.162 start 11 21
## 2022 0.1162005 109.1121 0.162 mif1 11 21
## 2023 0.1162005 109.1121 0.162 start 12 21
## 2024 0.1162005 109.1121 0.162 mif1 12 21
## 2025 0.1162005 109.1121 0.162 start 13 21
## 2026 0.1162005 109.1121 0.162 mif1 13 21
## 2027 0.1162005 109.1121 0.162 start 14 21
## 2028 0.1162005 109.1121 0.162 mif1 14 21
## 2029 0.1162005 109.1121 0.162 start 15 21
## 2030 0.1162005 109.1121 0.162 mif1 15 21
## 2031 0.1162005 109.1121 0.162 start 16 21
## 2032 0.1162005 109.1121 0.162 mif1 16 21
## 2033 0.1162005 109.1121 0.162 start 17 21
## 2034 0.1162005 109.1121 0.162 mif1 17 21
## 2035 0.1162005 109.1121 0.162 start 18 21
## 2036 0.1162005 109.1121 0.162 mif1 18 21
## 2037 0.1162005 109.1121 0.162 start 19 21
## 2038 0.1162005 109.1121 0.162 mif1 19 21
## 2039 0.1162005 109.1121 0.162 start 20 21
## 2040 0.1162005 109.1121 0.162 mif1 20 21
## 2041 0.1162005 109.1121 0.162 start 21 21
## 2042 0.1162005 109.1121 0.162 mif1 21 21
## 2043 0.1162005 109.1121 0.162 start 22 21
## 2044 0.1162005 109.1121 0.162 mif1 22 21
## 2045 0.1162005 109.1121 0.162 start 23 21
## 2046 0.1162005 109.1121 0.162 mif1 23 21
## 2047 0.1162005 109.1121 0.162 start 24 21
## 2048 0.1162005 109.1121 0.162 mif1 24 21
## 2049 0.1162005 109.1121 0.162 start 25 21
## 2050 0.1162005 109.1121 0.162 mif1 25 21
## 2051 0.1162005 109.1121 0.162 start 26 21
## 2052 0.1162005 109.1121 0.162 mif1 26 21
## 2053 0.1162005 109.1121 0.162 start 27 21
## 2054 0.1162005 109.1121 0.162 mif1 27 21
## 2055 0.1162005 109.1121 0.162 start 28 21
## 2056 0.1162005 109.1121 0.162 mif1 28 21
## 2057 0.1162005 109.1121 0.162 start 29 21
## 2058 0.1162005 109.1121 0.162 mif1 29 21
## 2059 0.1162005 109.1121 0.162 start 30 21
## 2060 0.1162005 109.1121 0.162 mif1 30 21
## 2061 0.1162005 109.1121 0.162 start 31 21
## 2062 0.1162005 109.1121 0.162 mif1 31 21
## 2063 0.1162005 109.1121 0.162 start 32 21
## 2064 0.1162005 109.1121 0.162 mif1 32 21
## 2065 0.1162005 109.1121 0.162 start 33 21
## 2066 0.1162005 109.1121 0.162 mif1 33 21
## 2067 0.1162005 109.1121 0.162 start 34 21
## 2068 0.1162005 109.1121 0.162 mif1 34 21
## 2069 0.1162005 109.1121 0.162 start 35 21
## 2070 0.1162005 109.1121 0.162 mif1 35 21
## 2071 0.1162005 109.1121 0.162 start 36 21
## 2072 0.1162005 109.1121 0.162 mif1 36 21
## 2073 0.1162005 109.1121 0.162 start 37 21
## 2074 0.1162005 109.1121 0.162 mif1 37 21
## 2075 0.1162005 109.1121 0.162 start 38 21
## 2076 0.1162005 109.1121 0.162 mif1 38 21
## 2077 0.1162005 109.1121 0.162 start 39 21
## 2078 0.1162005 109.1121 0.162 mif1 39 21
## 2079 0.1162005 109.1121 0.162 start 40 21
## 2080 0.1162005 109.1121 0.162 mif1 40 21
## 2081 0.1162005 109.1121 0.162 start 41 21
## 2082 0.1162005 109.1121 0.162 mif1 41 21
## 2083 0.1162005 109.1121 0.162 start 42 21
## 2084 0.1162005 109.1121 0.162 mif1 42 21
## 2085 0.1162005 109.1121 0.162 start 43 21
## 2086 0.1162005 109.1121 0.162 mif1 43 21
## 2087 0.1162005 109.1121 0.162 start 44 21
## 2088 0.1162005 109.1121 0.162 mif1 44 21
## 2089 0.1162005 109.1121 0.162 start 45 21
## 2090 0.1162005 109.1121 0.162 mif1 45 21
## 2091 0.1162005 109.1121 0.162 start 46 21
## 2092 0.1162005 109.1121 0.162 mif1 46 21
## 2093 0.1162005 109.1121 0.162 start 47 21
## 2094 0.1162005 109.1121 0.162 mif1 47 21
## 2095 0.1162005 109.1121 0.162 start 48 21
## 2096 0.1162005 109.1121 0.162 mif1 48 21
## 2097 0.1162005 109.1121 0.162 start 49 21
## 2098 0.1162005 109.1121 0.162 mif1 49 21
## 2099 0.1162005 109.1121 0.162 start 50 21
## 2100 0.1162005 109.1121 0.162 mif1 50 21
## 2101 0.1162005 109.1121 0.162 start 1 22
## 2102 0.1162005 109.1121 0.162 mif1 1 22
## 2103 0.1162005 109.1121 0.162 start 2 22
## 2104 0.1162005 109.1121 0.162 mif1 2 22
## 2105 0.1162005 109.1121 0.162 start 3 22
## 2106 0.1162005 109.1121 0.162 mif1 3 22
## 2107 0.1162005 109.1121 0.162 start 4 22
## 2108 0.1162005 109.1121 0.162 mif1 4 22
## 2109 0.1162005 109.1121 0.162 start 5 22
## 2110 0.1162005 109.1121 0.162 mif1 5 22
## 2111 0.1162005 109.1121 0.162 start 6 22
## 2112 0.1162005 109.1121 0.162 mif1 6 22
## 2113 0.1162005 109.1121 0.162 start 7 22
## 2114 0.1162005 109.1121 0.162 mif1 7 22
## 2115 0.1162005 109.1121 0.162 start 8 22
## 2116 0.1162005 109.1121 0.162 mif1 8 22
## 2117 0.1162005 109.1121 0.162 start 9 22
## 2118 0.1162005 109.1121 0.162 mif1 9 22
## 2119 0.1162005 109.1121 0.162 start 10 22
## 2120 0.1162005 109.1121 0.162 mif1 10 22
## 2121 0.1162005 109.1121 0.162 start 11 22
## 2122 0.1162005 109.1121 0.162 mif1 11 22
## 2123 0.1162005 109.1121 0.162 start 12 22
## 2124 0.1162005 109.1121 0.162 mif1 12 22
## 2125 0.1162005 109.1121 0.162 start 13 22
## 2126 0.1162005 109.1121 0.162 mif1 13 22
## 2127 0.1162005 109.1121 0.162 start 14 22
## 2128 0.1162005 109.1121 0.162 mif1 14 22
## 2129 0.1162005 109.1121 0.162 start 15 22
## 2130 0.1162005 109.1121 0.162 mif1 15 22
## 2131 0.1162005 109.1121 0.162 start 16 22
## 2132 0.1162005 109.1121 0.162 mif1 16 22
## 2133 0.1162005 109.1121 0.162 start 17 22
## 2134 0.1162005 109.1121 0.162 mif1 17 22
## 2135 0.1162005 109.1121 0.162 start 18 22
## 2136 0.1162005 109.1121 0.162 mif1 18 22
## 2137 0.1162005 109.1121 0.162 start 19 22
## 2138 0.1162005 109.1121 0.162 mif1 19 22
## 2139 0.1162005 109.1121 0.162 start 20 22
## 2140 0.1162005 109.1121 0.162 mif1 20 22
## 2141 0.1162005 109.1121 0.162 start 21 22
## 2142 0.1162005 109.1121 0.162 mif1 21 22
## 2143 0.1162005 109.1121 0.162 start 22 22
## 2144 0.1162005 109.1121 0.162 mif1 22 22
## 2145 0.1162005 109.1121 0.162 start 23 22
## 2146 0.1162005 109.1121 0.162 mif1 23 22
## 2147 0.1162005 109.1121 0.162 start 24 22
## 2148 0.1162005 109.1121 0.162 mif1 24 22
## 2149 0.1162005 109.1121 0.162 start 25 22
## 2150 0.1162005 109.1121 0.162 mif1 25 22
## 2151 0.1162005 109.1121 0.162 start 26 22
## 2152 0.1162005 109.1121 0.162 mif1 26 22
## 2153 0.1162005 109.1121 0.162 start 27 22
## 2154 0.1162005 109.1121 0.162 mif1 27 22
## 2155 0.1162005 109.1121 0.162 start 28 22
## 2156 0.1162005 109.1121 0.162 mif1 28 22
## 2157 0.1162005 109.1121 0.162 start 29 22
## 2158 0.1162005 109.1121 0.162 mif1 29 22
## 2159 0.1162005 109.1121 0.162 start 30 22
## 2160 0.1162005 109.1121 0.162 mif1 30 22
## 2161 0.1162005 109.1121 0.162 start 31 22
## 2162 0.1162005 109.1121 0.162 mif1 31 22
## 2163 0.1162005 109.1121 0.162 start 32 22
## 2164 0.1162005 109.1121 0.162 mif1 32 22
## 2165 0.1162005 109.1121 0.162 start 33 22
## 2166 0.1162005 109.1121 0.162 mif1 33 22
## 2167 0.1162005 109.1121 0.162 start 34 22
## 2168 0.1162005 109.1121 0.162 mif1 34 22
## 2169 0.1162005 109.1121 0.162 start 35 22
## 2170 0.1162005 109.1121 0.162 mif1 35 22
## 2171 0.1162005 109.1121 0.162 start 36 22
## 2172 0.1162005 109.1121 0.162 mif1 36 22
## 2173 0.1162005 109.1121 0.162 start 37 22
## 2174 0.1162005 109.1121 0.162 mif1 37 22
## 2175 0.1162005 109.1121 0.162 start 38 22
## 2176 0.1162005 109.1121 0.162 mif1 38 22
## 2177 0.1162005 109.1121 0.162 start 39 22
## 2178 0.1162005 109.1121 0.162 mif1 39 22
## 2179 0.1162005 109.1121 0.162 start 40 22
## 2180 0.1162005 109.1121 0.162 mif1 40 22
## 2181 0.1162005 109.1121 0.162 start 41 22
## 2182 0.1162005 109.1121 0.162 mif1 41 22
## 2183 0.1162005 109.1121 0.162 start 42 22
## 2184 0.1162005 109.1121 0.162 mif1 42 22
## 2185 0.1162005 109.1121 0.162 start 43 22
## 2186 0.1162005 109.1121 0.162 mif1 43 22
## 2187 0.1162005 109.1121 0.162 start 44 22
## 2188 0.1162005 109.1121 0.162 mif1 44 22
## 2189 0.1162005 109.1121 0.162 start 45 22
## 2190 0.1162005 109.1121 0.162 mif1 45 22
## 2191 0.1162005 109.1121 0.162 start 46 22
## 2192 0.1162005 109.1121 0.162 mif1 46 22
## 2193 0.1162005 109.1121 0.162 start 47 22
## 2194 0.1162005 109.1121 0.162 mif1 47 22
## 2195 0.1162005 109.1121 0.162 start 48 22
## 2196 0.1162005 109.1121 0.162 mif1 48 22
## 2197 0.1162005 109.1121 0.162 start 49 22
## 2198 0.1162005 109.1121 0.162 mif1 49 22
## 2199 0.1162005 109.1121 0.162 start 50 22
## 2200 0.1162005 109.1121 0.162 mif1 50 22
## 2201 0.1162005 109.1121 0.162 start 1 23
## 2202 0.1162005 109.1121 0.162 mif1 1 23
## 2203 0.1162005 109.1121 0.162 start 2 23
## 2204 0.1162005 109.1121 0.162 mif1 2 23
## 2205 0.1162005 109.1121 0.162 start 3 23
## 2206 0.1162005 109.1121 0.162 mif1 3 23
## 2207 0.1162005 109.1121 0.162 start 4 23
## 2208 0.1162005 109.1121 0.162 mif1 4 23
## 2209 0.1162005 109.1121 0.162 start 5 23
## 2210 0.1162005 109.1121 0.162 mif1 5 23
## 2211 0.1162005 109.1121 0.162 start 6 23
## 2212 0.1162005 109.1121 0.162 mif1 6 23
## 2213 0.1162005 109.1121 0.162 start 7 23
## 2214 0.1162005 109.1121 0.162 mif1 7 23
## 2215 0.1162005 109.1121 0.162 start 8 23
## 2216 0.1162005 109.1121 0.162 mif1 8 23
## 2217 0.1162005 109.1121 0.162 start 9 23
## 2218 0.1162005 109.1121 0.162 mif1 9 23
## 2219 0.1162005 109.1121 0.162 start 10 23
## 2220 0.1162005 109.1121 0.162 mif1 10 23
## 2221 0.1162005 109.1121 0.162 start 11 23
## 2222 0.1162005 109.1121 0.162 mif1 11 23
## 2223 0.1162005 109.1121 0.162 start 12 23
## 2224 0.1162005 109.1121 0.162 mif1 12 23
## 2225 0.1162005 109.1121 0.162 start 13 23
## 2226 0.1162005 109.1121 0.162 mif1 13 23
## 2227 0.1162005 109.1121 0.162 start 14 23
## 2228 0.1162005 109.1121 0.162 mif1 14 23
## 2229 0.1162005 109.1121 0.162 start 15 23
## 2230 0.1162005 109.1121 0.162 mif1 15 23
## 2231 0.1162005 109.1121 0.162 start 16 23
## 2232 0.1162005 109.1121 0.162 mif1 16 23
## 2233 0.1162005 109.1121 0.162 start 17 23
## 2234 0.1162005 109.1121 0.162 mif1 17 23
## 2235 0.1162005 109.1121 0.162 start 18 23
## 2236 0.1162005 109.1121 0.162 mif1 18 23
## 2237 0.1162005 109.1121 0.162 start 19 23
## 2238 0.1162005 109.1121 0.162 mif1 19 23
## 2239 0.1162005 109.1121 0.162 start 20 23
## 2240 0.1162005 109.1121 0.162 mif1 20 23
## 2241 0.1162005 109.1121 0.162 start 21 23
## 2242 0.1162005 109.1121 0.162 mif1 21 23
## 2243 0.1162005 109.1121 0.162 start 22 23
## 2244 0.1162005 109.1121 0.162 mif1 22 23
## 2245 0.1162005 109.1121 0.162 start 23 23
## 2246 0.1162005 109.1121 0.162 mif1 23 23
## 2247 0.1162005 109.1121 0.162 start 24 23
## 2248 0.1162005 109.1121 0.162 mif1 24 23
## 2249 0.1162005 109.1121 0.162 start 25 23
## 2250 0.1162005 109.1121 0.162 mif1 25 23
## 2251 0.1162005 109.1121 0.162 start 26 23
## 2252 0.1162005 109.1121 0.162 mif1 26 23
## 2253 0.1162005 109.1121 0.162 start 27 23
## 2254 0.1162005 109.1121 0.162 mif1 27 23
## 2255 0.1162005 109.1121 0.162 start 28 23
## 2256 0.1162005 109.1121 0.162 mif1 28 23
## 2257 0.1162005 109.1121 0.162 start 29 23
## 2258 0.1162005 109.1121 0.162 mif1 29 23
## 2259 0.1162005 109.1121 0.162 start 30 23
## 2260 0.1162005 109.1121 0.162 mif1 30 23
## 2261 0.1162005 109.1121 0.162 start 31 23
## 2262 0.1162005 109.1121 0.162 mif1 31 23
## 2263 0.1162005 109.1121 0.162 start 32 23
## 2264 0.1162005 109.1121 0.162 mif1 32 23
## 2265 0.1162005 109.1121 0.162 start 33 23
## 2266 0.1162005 109.1121 0.162 mif1 33 23
## 2267 0.1162005 109.1121 0.162 start 34 23
## 2268 0.1162005 109.1121 0.162 mif1 34 23
## 2269 0.1162005 109.1121 0.162 start 35 23
## 2270 0.1162005 109.1121 0.162 mif1 35 23
## 2271 0.1162005 109.1121 0.162 start 36 23
## 2272 0.1162005 109.1121 0.162 mif1 36 23
## 2273 0.1162005 109.1121 0.162 start 37 23
## 2274 0.1162005 109.1121 0.162 mif1 37 23
## 2275 0.1162005 109.1121 0.162 start 38 23
## 2276 0.1162005 109.1121 0.162 mif1 38 23
## 2277 0.1162005 109.1121 0.162 start 39 23
## 2278 0.1162005 109.1121 0.162 mif1 39 23
## 2279 0.1162005 109.1121 0.162 start 40 23
## 2280 0.1162005 109.1121 0.162 mif1 40 23
## 2281 0.1162005 109.1121 0.162 start 41 23
## 2282 0.1162005 109.1121 0.162 mif1 41 23
## 2283 0.1162005 109.1121 0.162 start 42 23
## 2284 0.1162005 109.1121 0.162 mif1 42 23
## 2285 0.1162005 109.1121 0.162 start 43 23
## 2286 0.1162005 109.1121 0.162 mif1 43 23
## 2287 0.1162005 109.1121 0.162 start 44 23
## 2288 0.1162005 109.1121 0.162 mif1 44 23
## 2289 0.1162005 109.1121 0.162 start 45 23
## 2290 0.1162005 109.1121 0.162 mif1 45 23
## 2291 0.1162005 109.1121 0.162 start 46 23
## 2292 0.1162005 109.1121 0.162 mif1 46 23
## 2293 0.1162005 109.1121 0.162 start 47 23
## 2294 0.1162005 109.1121 0.162 mif1 47 23
## 2295 0.1162005 109.1121 0.162 start 48 23
## 2296 0.1162005 109.1121 0.162 mif1 48 23
## 2297 0.1162005 109.1121 0.162 start 49 23
## 2298 0.1162005 109.1121 0.162 mif1 49 23
## 2299 0.1162005 109.1121 0.162 start 50 23
## 2300 0.1162005 109.1121 0.162 mif1 50 23
## 2301 0.1162005 109.1121 0.162 start 1 24
## 2302 0.1162005 109.1121 0.162 mif1 1 24
## 2303 0.1162005 109.1121 0.162 start 2 24
## 2304 0.1162005 109.1121 0.162 mif1 2 24
## 2305 0.1162005 109.1121 0.162 start 3 24
## 2306 0.1162005 109.1121 0.162 mif1 3 24
## 2307 0.1162005 109.1121 0.162 start 4 24
## 2308 0.1162005 109.1121 0.162 mif1 4 24
## 2309 0.1162005 109.1121 0.162 start 5 24
## 2310 0.1162005 109.1121 0.162 mif1 5 24
## 2311 0.1162005 109.1121 0.162 start 6 24
## 2312 0.1162005 109.1121 0.162 mif1 6 24
## 2313 0.1162005 109.1121 0.162 start 7 24
## 2314 0.1162005 109.1121 0.162 mif1 7 24
## 2315 0.1162005 109.1121 0.162 start 8 24
## 2316 0.1162005 109.1121 0.162 mif1 8 24
## 2317 0.1162005 109.1121 0.162 start 9 24
## 2318 0.1162005 109.1121 0.162 mif1 9 24
## 2319 0.1162005 109.1121 0.162 start 10 24
## 2320 0.1162005 109.1121 0.162 mif1 10 24
## 2321 0.1162005 109.1121 0.162 start 11 24
## 2322 0.1162005 109.1121 0.162 mif1 11 24
## 2323 0.1162005 109.1121 0.162 start 12 24
## 2324 0.1162005 109.1121 0.162 mif1 12 24
## 2325 0.1162005 109.1121 0.162 start 13 24
## 2326 0.1162005 109.1121 0.162 mif1 13 24
## 2327 0.1162005 109.1121 0.162 start 14 24
## 2328 0.1162005 109.1121 0.162 mif1 14 24
## 2329 0.1162005 109.1121 0.162 start 15 24
## 2330 0.1162005 109.1121 0.162 mif1 15 24
## 2331 0.1162005 109.1121 0.162 start 16 24
## 2332 0.1162005 109.1121 0.162 mif1 16 24
## 2333 0.1162005 109.1121 0.162 start 17 24
## 2334 0.1162005 109.1121 0.162 mif1 17 24
## 2335 0.1162005 109.1121 0.162 start 18 24
## 2336 0.1162005 109.1121 0.162 mif1 18 24
## 2337 0.1162005 109.1121 0.162 start 19 24
## 2338 0.1162005 109.1121 0.162 mif1 19 24
## 2339 0.1162005 109.1121 0.162 start 20 24
## 2340 0.1162005 109.1121 0.162 mif1 20 24
## 2341 0.1162005 109.1121 0.162 start 21 24
## 2342 0.1162005 109.1121 0.162 mif1 21 24
## 2343 0.1162005 109.1121 0.162 start 22 24
## 2344 0.1162005 109.1121 0.162 mif1 22 24
## 2345 0.1162005 109.1121 0.162 start 23 24
## 2346 0.1162005 109.1121 0.162 mif1 23 24
## 2347 0.1162005 109.1121 0.162 start 24 24
## 2348 0.1162005 109.1121 0.162 mif1 24 24
## 2349 0.1162005 109.1121 0.162 start 25 24
## 2350 0.1162005 109.1121 0.162 mif1 25 24
## 2351 0.1162005 109.1121 0.162 start 26 24
## 2352 0.1162005 109.1121 0.162 mif1 26 24
## 2353 0.1162005 109.1121 0.162 start 27 24
## 2354 0.1162005 109.1121 0.162 mif1 27 24
## 2355 0.1162005 109.1121 0.162 start 28 24
## 2356 0.1162005 109.1121 0.162 mif1 28 24
## 2357 0.1162005 109.1121 0.162 start 29 24
## 2358 0.1162005 109.1121 0.162 mif1 29 24
## 2359 0.1162005 109.1121 0.162 start 30 24
## 2360 0.1162005 109.1121 0.162 mif1 30 24
## 2361 0.1162005 109.1121 0.162 start 31 24
## 2362 0.1162005 109.1121 0.162 mif1 31 24
## 2363 0.1162005 109.1121 0.162 start 32 24
## 2364 0.1162005 109.1121 0.162 mif1 32 24
## 2365 0.1162005 109.1121 0.162 start 33 24
## 2366 0.1162005 109.1121 0.162 mif1 33 24
## 2367 0.1162005 109.1121 0.162 start 34 24
## 2368 0.1162005 109.1121 0.162 mif1 34 24
## 2369 0.1162005 109.1121 0.162 start 35 24
## 2370 0.1162005 109.1121 0.162 mif1 35 24
## 2371 0.1162005 109.1121 0.162 start 36 24
## 2372 0.1162005 109.1121 0.162 mif1 36 24
## 2373 0.1162005 109.1121 0.162 start 37 24
## 2374 0.1162005 109.1121 0.162 mif1 37 24
## 2375 0.1162005 109.1121 0.162 start 38 24
## 2376 0.1162005 109.1121 0.162 mif1 38 24
## 2377 0.1162005 109.1121 0.162 start 39 24
## 2378 0.1162005 109.1121 0.162 mif1 39 24
## 2379 0.1162005 109.1121 0.162 start 40 24
## 2380 0.1162005 109.1121 0.162 mif1 40 24
## 2381 0.1162005 109.1121 0.162 start 41 24
## 2382 0.1162005 109.1121 0.162 mif1 41 24
## 2383 0.1162005 109.1121 0.162 start 42 24
## 2384 0.1162005 109.1121 0.162 mif1 42 24
## 2385 0.1162005 109.1121 0.162 start 43 24
## 2386 0.1162005 109.1121 0.162 mif1 43 24
## 2387 0.1162005 109.1121 0.162 start 44 24
## 2388 0.1162005 109.1121 0.162 mif1 44 24
## 2389 0.1162005 109.1121 0.162 start 45 24
## 2390 0.1162005 109.1121 0.162 mif1 45 24
## 2391 0.1162005 109.1121 0.162 start 46 24
## 2392 0.1162005 109.1121 0.162 mif1 46 24
## 2393 0.1162005 109.1121 0.162 start 47 24
## 2394 0.1162005 109.1121 0.162 mif1 47 24
## 2395 0.1162005 109.1121 0.162 start 48 24
## 2396 0.1162005 109.1121 0.162 mif1 48 24
## 2397 0.1162005 109.1121 0.162 start 49 24
## 2398 0.1162005 109.1121 0.162 mif1 49 24
## 2399 0.1162005 109.1121 0.162 start 50 24
## 2400 0.1162005 109.1121 0.162 mif1 50 24
## 2401 0.1162005 109.1121 0.162 start 1 25
## 2402 0.1162005 109.1121 0.162 mif1 1 25
## 2403 0.1162005 109.1121 0.162 start 2 25
## 2404 0.1162005 109.1121 0.162 mif1 2 25
## 2405 0.1162005 109.1121 0.162 start 3 25
## 2406 0.1162005 109.1121 0.162 mif1 3 25
## 2407 0.1162005 109.1121 0.162 start 4 25
## 2408 0.1162005 109.1121 0.162 mif1 4 25
## 2409 0.1162005 109.1121 0.162 start 5 25
## 2410 0.1162005 109.1121 0.162 mif1 5 25
## 2411 0.1162005 109.1121 0.162 start 6 25
## 2412 0.1162005 109.1121 0.162 mif1 6 25
## 2413 0.1162005 109.1121 0.162 start 7 25
## 2414 0.1162005 109.1121 0.162 mif1 7 25
## 2415 0.1162005 109.1121 0.162 start 8 25
## 2416 0.1162005 109.1121 0.162 mif1 8 25
## 2417 0.1162005 109.1121 0.162 start 9 25
## 2418 0.1162005 109.1121 0.162 mif1 9 25
## 2419 0.1162005 109.1121 0.162 start 10 25
## 2420 0.1162005 109.1121 0.162 mif1 10 25
## 2421 0.1162005 109.1121 0.162 start 11 25
## 2422 0.1162005 109.1121 0.162 mif1 11 25
## 2423 0.1162005 109.1121 0.162 start 12 25
## 2424 0.1162005 109.1121 0.162 mif1 12 25
## 2425 0.1162005 109.1121 0.162 start 13 25
## 2426 0.1162005 109.1121 0.162 mif1 13 25
## 2427 0.1162005 109.1121 0.162 start 14 25
## 2428 0.1162005 109.1121 0.162 mif1 14 25
## 2429 0.1162005 109.1121 0.162 start 15 25
## 2430 0.1162005 109.1121 0.162 mif1 15 25
## 2431 0.1162005 109.1121 0.162 start 16 25
## 2432 0.1162005 109.1121 0.162 mif1 16 25
## 2433 0.1162005 109.1121 0.162 start 17 25
## 2434 0.1162005 109.1121 0.162 mif1 17 25
## 2435 0.1162005 109.1121 0.162 start 18 25
## 2436 0.1162005 109.1121 0.162 mif1 18 25
## 2437 0.1162005 109.1121 0.162 start 19 25
## 2438 0.1162005 109.1121 0.162 mif1 19 25
## 2439 0.1162005 109.1121 0.162 start 20 25
## 2440 0.1162005 109.1121 0.162 mif1 20 25
## 2441 0.1162005 109.1121 0.162 start 21 25
## 2442 0.1162005 109.1121 0.162 mif1 21 25
## 2443 0.1162005 109.1121 0.162 start 22 25
## 2444 0.1162005 109.1121 0.162 mif1 22 25
## 2445 0.1162005 109.1121 0.162 start 23 25
## 2446 0.1162005 109.1121 0.162 mif1 23 25
## 2447 0.1162005 109.1121 0.162 start 24 25
## 2448 0.1162005 109.1121 0.162 mif1 24 25
## 2449 0.1162005 109.1121 0.162 start 25 25
## 2450 0.1162005 109.1121 0.162 mif1 25 25
## 2451 0.1162005 109.1121 0.162 start 26 25
## 2452 0.1162005 109.1121 0.162 mif1 26 25
## 2453 0.1162005 109.1121 0.162 start 27 25
## 2454 0.1162005 109.1121 0.162 mif1 27 25
## 2455 0.1162005 109.1121 0.162 start 28 25
## 2456 0.1162005 109.1121 0.162 mif1 28 25
## 2457 0.1162005 109.1121 0.162 start 29 25
## 2458 0.1162005 109.1121 0.162 mif1 29 25
## 2459 0.1162005 109.1121 0.162 start 30 25
## 2460 0.1162005 109.1121 0.162 mif1 30 25
## 2461 0.1162005 109.1121 0.162 start 31 25
## 2462 0.1162005 109.1121 0.162 mif1 31 25
## 2463 0.1162005 109.1121 0.162 start 32 25
## 2464 0.1162005 109.1121 0.162 mif1 32 25
## 2465 0.1162005 109.1121 0.162 start 33 25
## 2466 0.1162005 109.1121 0.162 mif1 33 25
## 2467 0.1162005 109.1121 0.162 start 34 25
## 2468 0.1162005 109.1121 0.162 mif1 34 25
## 2469 0.1162005 109.1121 0.162 start 35 25
## 2470 0.1162005 109.1121 0.162 mif1 35 25
## 2471 0.1162005 109.1121 0.162 start 36 25
## 2472 0.1162005 109.1121 0.162 mif1 36 25
## 2473 0.1162005 109.1121 0.162 start 37 25
## 2474 0.1162005 109.1121 0.162 mif1 37 25
## 2475 0.1162005 109.1121 0.162 start 38 25
## 2476 0.1162005 109.1121 0.162 mif1 38 25
## 2477 0.1162005 109.1121 0.162 start 39 25
## 2478 0.1162005 109.1121 0.162 mif1 39 25
## 2479 0.1162005 109.1121 0.162 start 40 25
## 2480 0.1162005 109.1121 0.162 mif1 40 25
## 2481 0.1162005 109.1121 0.162 start 41 25
## 2482 0.1162005 109.1121 0.162 mif1 41 25
## 2483 0.1162005 109.1121 0.162 start 42 25
## 2484 0.1162005 109.1121 0.162 mif1 42 25
## 2485 0.1162005 109.1121 0.162 start 43 25
## 2486 0.1162005 109.1121 0.162 mif1 43 25
## 2487 0.1162005 109.1121 0.162 start 44 25
## 2488 0.1162005 109.1121 0.162 mif1 44 25
## 2489 0.1162005 109.1121 0.162 start 45 25
## 2490 0.1162005 109.1121 0.162 mif1 45 25
## 2491 0.1162005 109.1121 0.162 start 46 25
## 2492 0.1162005 109.1121 0.162 mif1 46 25
## 2493 0.1162005 109.1121 0.162 start 47 25
## 2494 0.1162005 109.1121 0.162 mif1 47 25
## 2495 0.1162005 109.1121 0.162 start 48 25
## 2496 0.1162005 109.1121 0.162 mif1 48 25
## 2497 0.1162005 109.1121 0.162 start 49 25
## 2498 0.1162005 109.1121 0.162 mif1 49 25
## 2499 0.1162005 109.1121 0.162 start 50 25
## 2500 0.1162005 109.1121 0.162 mif1 50 25
## 2501 0.1162005 109.1121 0.162 start 1 26
## 2502 0.1162005 109.1121 0.162 mif1 1 26
## 2503 0.1162005 109.1121 0.162 start 2 26
## 2504 0.1162005 109.1121 0.162 mif1 2 26
## 2505 0.1162005 109.1121 0.162 start 3 26
## 2506 0.1162005 109.1121 0.162 mif1 3 26
## 2507 0.1162005 109.1121 0.162 start 4 26
## 2508 0.1162005 109.1121 0.162 mif1 4 26
## 2509 0.1162005 109.1121 0.162 start 5 26
## 2510 0.1162005 109.1121 0.162 mif1 5 26
## 2511 0.1162005 109.1121 0.162 start 6 26
## 2512 0.1162005 109.1121 0.162 mif1 6 26
## 2513 0.1162005 109.1121 0.162 start 7 26
## 2514 0.1162005 109.1121 0.162 mif1 7 26
## 2515 0.1162005 109.1121 0.162 start 8 26
## 2516 0.1162005 109.1121 0.162 mif1 8 26
## 2517 0.1162005 109.1121 0.162 start 9 26
## 2518 0.1162005 109.1121 0.162 mif1 9 26
## 2519 0.1162005 109.1121 0.162 start 10 26
## 2520 0.1162005 109.1121 0.162 mif1 10 26
## 2521 0.1162005 109.1121 0.162 start 11 26
## 2522 0.1162005 109.1121 0.162 mif1 11 26
## 2523 0.1162005 109.1121 0.162 start 12 26
## 2524 0.1162005 109.1121 0.162 mif1 12 26
## 2525 0.1162005 109.1121 0.162 start 13 26
## 2526 0.1162005 109.1121 0.162 mif1 13 26
## 2527 0.1162005 109.1121 0.162 start 14 26
## 2528 0.1162005 109.1121 0.162 mif1 14 26
## 2529 0.1162005 109.1121 0.162 start 15 26
## 2530 0.1162005 109.1121 0.162 mif1 15 26
## 2531 0.1162005 109.1121 0.162 start 16 26
## 2532 0.1162005 109.1121 0.162 mif1 16 26
## 2533 0.1162005 109.1121 0.162 start 17 26
## 2534 0.1162005 109.1121 0.162 mif1 17 26
## 2535 0.1162005 109.1121 0.162 start 18 26
## 2536 0.1162005 109.1121 0.162 mif1 18 26
## 2537 0.1162005 109.1121 0.162 start 19 26
## 2538 0.1162005 109.1121 0.162 mif1 19 26
## 2539 0.1162005 109.1121 0.162 start 20 26
## 2540 0.1162005 109.1121 0.162 mif1 20 26
## 2541 0.1162005 109.1121 0.162 start 21 26
## 2542 0.1162005 109.1121 0.162 mif1 21 26
## 2543 0.1162005 109.1121 0.162 start 22 26
## 2544 0.1162005 109.1121 0.162 mif1 22 26
## 2545 0.1162005 109.1121 0.162 start 23 26
## 2546 0.1162005 109.1121 0.162 mif1 23 26
## 2547 0.1162005 109.1121 0.162 start 24 26
## 2548 0.1162005 109.1121 0.162 mif1 24 26
## 2549 0.1162005 109.1121 0.162 start 25 26
## 2550 0.1162005 109.1121 0.162 mif1 25 26
## 2551 0.1162005 109.1121 0.162 start 26 26
## 2552 0.1162005 109.1121 0.162 mif1 26 26
## 2553 0.1162005 109.1121 0.162 start 27 26
## 2554 0.1162005 109.1121 0.162 mif1 27 26
## 2555 0.1162005 109.1121 0.162 start 28 26
## 2556 0.1162005 109.1121 0.162 mif1 28 26
## 2557 0.1162005 109.1121 0.162 start 29 26
## 2558 0.1162005 109.1121 0.162 mif1 29 26
## 2559 0.1162005 109.1121 0.162 start 30 26
## 2560 0.1162005 109.1121 0.162 mif1 30 26
## 2561 0.1162005 109.1121 0.162 start 31 26
## 2562 0.1162005 109.1121 0.162 mif1 31 26
## 2563 0.1162005 109.1121 0.162 start 32 26
## 2564 0.1162005 109.1121 0.162 mif1 32 26
## 2565 0.1162005 109.1121 0.162 start 33 26
## 2566 0.1162005 109.1121 0.162 mif1 33 26
## 2567 0.1162005 109.1121 0.162 start 34 26
## 2568 0.1162005 109.1121 0.162 mif1 34 26
## 2569 0.1162005 109.1121 0.162 start 35 26
## 2570 0.1162005 109.1121 0.162 mif1 35 26
## 2571 0.1162005 109.1121 0.162 start 36 26
## 2572 0.1162005 109.1121 0.162 mif1 36 26
## 2573 0.1162005 109.1121 0.162 start 37 26
## 2574 0.1162005 109.1121 0.162 mif1 37 26
## 2575 0.1162005 109.1121 0.162 start 38 26
## 2576 0.1162005 109.1121 0.162 mif1 38 26
## 2577 0.1162005 109.1121 0.162 start 39 26
## 2578 0.1162005 109.1121 0.162 mif1 39 26
## 2579 0.1162005 109.1121 0.162 start 40 26
## 2580 0.1162005 109.1121 0.162 mif1 40 26
## 2581 0.1162005 109.1121 0.162 start 41 26
## 2582 0.1162005 109.1121 0.162 mif1 41 26
## 2583 0.1162005 109.1121 0.162 start 42 26
## 2584 0.1162005 109.1121 0.162 mif1 42 26
## 2585 0.1162005 109.1121 0.162 start 43 26
## 2586 0.1162005 109.1121 0.162 mif1 43 26
## 2587 0.1162005 109.1121 0.162 start 44 26
## 2588 0.1162005 109.1121 0.162 mif1 44 26
## 2589 0.1162005 109.1121 0.162 start 45 26
## 2590 0.1162005 109.1121 0.162 mif1 45 26
## 2591 0.1162005 109.1121 0.162 start 46 26
## 2592 0.1162005 109.1121 0.162 mif1 46 26
## 2593 0.1162005 109.1121 0.162 start 47 26
## 2594 0.1162005 109.1121 0.162 mif1 47 26
## 2595 0.1162005 109.1121 0.162 start 48 26
## 2596 0.1162005 109.1121 0.162 mif1 48 26
## 2597 0.1162005 109.1121 0.162 start 49 26
## 2598 0.1162005 109.1121 0.162 mif1 49 26
## 2599 0.1162005 109.1121 0.162 start 50 26
## 2600 0.1162005 109.1121 0.162 mif1 50 26
## 2601 0.1162005 109.1121 0.162 start 1 27
## 2602 0.1162005 109.1121 0.162 mif1 1 27
## 2603 0.1162005 109.1121 0.162 start 2 27
## 2604 0.1162005 109.1121 0.162 mif1 2 27
## 2605 0.1162005 109.1121 0.162 start 3 27
## 2606 0.1162005 109.1121 0.162 mif1 3 27
## 2607 0.1162005 109.1121 0.162 start 4 27
## 2608 0.1162005 109.1121 0.162 mif1 4 27
## 2609 0.1162005 109.1121 0.162 start 5 27
## 2610 0.1162005 109.1121 0.162 mif1 5 27
## 2611 0.1162005 109.1121 0.162 start 6 27
## 2612 0.1162005 109.1121 0.162 mif1 6 27
## 2613 0.1162005 109.1121 0.162 start 7 27
## 2614 0.1162005 109.1121 0.162 mif1 7 27
## 2615 0.1162005 109.1121 0.162 start 8 27
## 2616 0.1162005 109.1121 0.162 mif1 8 27
## 2617 0.1162005 109.1121 0.162 start 9 27
## 2618 0.1162005 109.1121 0.162 mif1 9 27
## 2619 0.1162005 109.1121 0.162 start 10 27
## 2620 0.1162005 109.1121 0.162 mif1 10 27
## 2621 0.1162005 109.1121 0.162 start 11 27
## 2622 0.1162005 109.1121 0.162 mif1 11 27
## 2623 0.1162005 109.1121 0.162 start 12 27
## 2624 0.1162005 109.1121 0.162 mif1 12 27
## 2625 0.1162005 109.1121 0.162 start 13 27
## 2626 0.1162005 109.1121 0.162 mif1 13 27
## 2627 0.1162005 109.1121 0.162 start 14 27
## 2628 0.1162005 109.1121 0.162 mif1 14 27
## 2629 0.1162005 109.1121 0.162 start 15 27
## 2630 0.1162005 109.1121 0.162 mif1 15 27
## 2631 0.1162005 109.1121 0.162 start 16 27
## 2632 0.1162005 109.1121 0.162 mif1 16 27
## 2633 0.1162005 109.1121 0.162 start 17 27
## 2634 0.1162005 109.1121 0.162 mif1 17 27
## 2635 0.1162005 109.1121 0.162 start 18 27
## 2636 0.1162005 109.1121 0.162 mif1 18 27
## 2637 0.1162005 109.1121 0.162 start 19 27
## 2638 0.1162005 109.1121 0.162 mif1 19 27
## 2639 0.1162005 109.1121 0.162 start 20 27
## 2640 0.1162005 109.1121 0.162 mif1 20 27
## 2641 0.1162005 109.1121 0.162 start 21 27
## 2642 0.1162005 109.1121 0.162 mif1 21 27
## 2643 0.1162005 109.1121 0.162 start 22 27
## 2644 0.1162005 109.1121 0.162 mif1 22 27
## 2645 0.1162005 109.1121 0.162 start 23 27
## 2646 0.1162005 109.1121 0.162 mif1 23 27
## 2647 0.1162005 109.1121 0.162 start 24 27
## 2648 0.1162005 109.1121 0.162 mif1 24 27
## 2649 0.1162005 109.1121 0.162 start 25 27
## 2650 0.1162005 109.1121 0.162 mif1 25 27
## 2651 0.1162005 109.1121 0.162 start 26 27
## 2652 0.1162005 109.1121 0.162 mif1 26 27
## 2653 0.1162005 109.1121 0.162 start 27 27
## 2654 0.1162005 109.1121 0.162 mif1 27 27
## 2655 0.1162005 109.1121 0.162 start 28 27
## 2656 0.1162005 109.1121 0.162 mif1 28 27
## 2657 0.1162005 109.1121 0.162 start 29 27
## 2658 0.1162005 109.1121 0.162 mif1 29 27
## 2659 0.1162005 109.1121 0.162 start 30 27
## 2660 0.1162005 109.1121 0.162 mif1 30 27
## 2661 0.1162005 109.1121 0.162 start 31 27
## 2662 0.1162005 109.1121 0.162 mif1 31 27
## 2663 0.1162005 109.1121 0.162 start 32 27
## 2664 0.1162005 109.1121 0.162 mif1 32 27
## 2665 0.1162005 109.1121 0.162 start 33 27
## 2666 0.1162005 109.1121 0.162 mif1 33 27
## 2667 0.1162005 109.1121 0.162 start 34 27
## 2668 0.1162005 109.1121 0.162 mif1 34 27
## 2669 0.1162005 109.1121 0.162 start 35 27
## 2670 0.1162005 109.1121 0.162 mif1 35 27
## 2671 0.1162005 109.1121 0.162 start 36 27
## 2672 0.1162005 109.1121 0.162 mif1 36 27
## 2673 0.1162005 109.1121 0.162 start 37 27
## 2674 0.1162005 109.1121 0.162 mif1 37 27
## 2675 0.1162005 109.1121 0.162 start 38 27
## 2676 0.1162005 109.1121 0.162 mif1 38 27
## 2677 0.1162005 109.1121 0.162 start 39 27
## 2678 0.1162005 109.1121 0.162 mif1 39 27
## 2679 0.1162005 109.1121 0.162 start 40 27
## 2680 0.1162005 109.1121 0.162 mif1 40 27
## 2681 0.1162005 109.1121 0.162 start 41 27
## 2682 0.1162005 109.1121 0.162 mif1 41 27
## 2683 0.1162005 109.1121 0.162 start 42 27
## 2684 0.1162005 109.1121 0.162 mif1 42 27
## 2685 0.1162005 109.1121 0.162 start 43 27
## 2686 0.1162005 109.1121 0.162 mif1 43 27
## 2687 0.1162005 109.1121 0.162 start 44 27
## 2688 0.1162005 109.1121 0.162 mif1 44 27
## 2689 0.1162005 109.1121 0.162 start 45 27
## 2690 0.1162005 109.1121 0.162 mif1 45 27
## 2691 0.1162005 109.1121 0.162 start 46 27
## 2692 0.1162005 109.1121 0.162 mif1 46 27
## 2693 0.1162005 109.1121 0.162 start 47 27
## 2694 0.1162005 109.1121 0.162 mif1 47 27
## 2695 0.1162005 109.1121 0.162 start 48 27
## 2696 0.1162005 109.1121 0.162 mif1 48 27
## 2697 0.1162005 109.1121 0.162 start 49 27
## 2698 0.1162005 109.1121 0.162 mif1 49 27
## 2699 0.1162005 109.1121 0.162 start 50 27
## 2700 0.1162005 109.1121 0.162 mif1 50 27
## 2701 0.1162005 109.1121 0.162 start 1 28
## 2702 0.1162005 109.1121 0.162 mif1 1 28
## loglik nfail trace_num loglist.se
## 1 NA NA NA NA
## 2 -630.1761 NA NA 1.047442e-02
## 3 NA NA NA NA
## 4 -629.6991 NA NA 5.902888e-03
## 5 NA NA NA NA
## 6 -642.2807 NA NA 2.299581e-02
## 7 NA NA NA NA
## 8 -629.4901 NA NA 8.604239e-03
## 9 NA NA NA NA
## 10 -631.3155 NA NA 9.511691e-03
## 11 NA NA NA NA
## 12 -629.5706 NA NA 7.244459e-03
## 13 NA NA NA NA
## 14 -638.1301 NA NA 2.503132e-02
## 15 NA NA NA NA
## 16 -629.2153 NA NA 1.061532e-02
## 17 NA NA NA NA
## 18 -630.8697 NA NA 1.075325e-02
## 19 NA NA NA NA
## 20 -2782.6235 NA NA 1.142919e+00
## 21 NA NA NA NA
## 22 -644.4212 NA NA 1.219378e-02
## 23 NA NA NA NA
## 24 -629.3272 NA NA 6.302990e-03
## 25 NA NA NA NA
## 26 -628.5718 NA NA 9.420348e-03
## 27 NA NA NA NA
## 28 -628.8327 NA NA 9.007315e-03
## 29 NA NA NA NA
## 30 -636.1429 NA NA 2.265959e-02
## 31 NA NA NA NA
## 32 -640.1182 NA NA 3.798676e-02
## 33 NA NA NA NA
## 34 -636.8657 NA NA 1.787858e-02
## 35 NA NA NA NA
## 36 -629.7794 NA NA 9.402621e-03
## 37 NA NA NA NA
## 38 -629.5072 NA NA 9.366807e-03
## 39 NA NA NA NA
## 40 -630.3494 NA NA 7.916034e-03
## 41 NA NA NA NA
## 42 -632.3203 NA NA 5.532881e-03
## 43 NA NA NA NA
## 44 -635.8663 NA NA 2.476662e-02
## 45 NA NA NA NA
## 46 -679.6549 NA NA 1.436851e-02
## 47 NA NA NA NA
## 48 -640.5204 NA NA 1.721931e-02
## 49 NA NA NA NA
## 50 -628.1396 NA NA 8.978681e-03
## 51 NA NA NA NA
## 52 -689.0672 NA NA 3.847941e-03
## 53 NA NA NA NA
## 54 -631.8106 NA NA 1.194453e-02
## 55 NA NA NA NA
## 56 -640.3780 NA NA 8.994255e-03
## 57 NA NA NA NA
## 58 -628.1754 NA NA 7.001139e-03
## 59 NA NA NA NA
## 60 -643.2344 NA NA 2.178248e-02
## 61 NA NA NA NA
## 62 -634.6330 NA NA 7.973836e-03
## 63 NA NA NA NA
## 64 -629.7806 NA NA 8.939639e-03
## 65 NA NA NA NA
## 66 -636.0123 NA NA 1.149446e-02
## 67 NA NA NA NA
## 68 -628.5210 NA NA 5.693372e-03
## 69 NA NA NA NA
## 70 -662.3027 NA NA 6.187819e-03
## 71 NA NA NA NA
## 72 -630.0406 NA NA 1.167814e-02
## 73 NA NA NA NA
## 74 -628.1074 NA NA 9.617378e-03
## 75 NA NA NA NA
## 76 -629.5021 NA NA 1.429892e-02
## 77 NA NA NA NA
## 78 -628.4457 NA NA 1.226989e-02
## 79 NA NA NA NA
## 80 -629.7696 NA NA 1.105166e-02
## 81 NA NA NA NA
## 82 -629.5902 NA NA 1.274270e-02
## 83 NA NA NA NA
## 84 -652.6745 NA NA 1.856367e-02
## 85 NA NA NA NA
## 86 -629.7582 NA NA 1.036904e-02
## 87 NA NA NA NA
## 88 -642.9129 NA NA 7.162053e-03
## 89 NA NA NA NA
## 90 -629.1416 NA NA 7.786220e-03
## 91 NA NA NA NA
## 92 -629.7971 NA NA 7.188712e-03
## 93 NA NA NA NA
## 94 -632.0878 NA NA 9.154227e-03
## 95 NA NA NA NA
## 96 -630.7415 NA NA 8.285229e-03
## 97 NA NA NA NA
## 98 -649.9011 NA NA 1.060658e-02
## 99 NA NA NA NA
## 100 -632.6081 NA NA 1.476719e-02
## 101 NA NA NA NA
## 102 -647.8485 NA NA 1.380395e-02
## 103 NA NA NA NA
## 104 -631.5198 NA NA 6.594034e-03
## 105 NA NA NA NA
## 106 -632.6169 NA NA 9.518474e-03
## 107 NA NA NA NA
## 108 -652.9487 NA NA 5.023385e-03
## 109 NA NA NA NA
## 110 -631.6236 NA NA 1.215781e-02
## 111 NA NA NA NA
## 112 -633.8257 NA NA 1.448905e-02
## 113 NA NA NA NA
## 114 -628.2524 NA NA 7.161407e-03
## 115 NA NA NA NA
## 116 -628.9615 NA NA 5.858947e-03
## 117 NA NA NA NA
## 118 -629.3565 NA NA 9.027140e-03
## 119 NA NA NA NA
## 120 -630.4994 NA NA 9.798862e-03
## 121 NA NA NA NA
## 122 -635.7787 NA NA 1.898899e-02
## 123 NA NA NA NA
## 124 -636.8768 NA NA 2.054693e-02
## 125 NA NA NA NA
## 126 -642.4126 NA NA 9.317457e-03
## 127 NA NA NA NA
## 128 -633.2245 NA NA 1.558965e-02
## 129 NA NA NA NA
## 130 -630.9507 NA NA 1.206331e-02
## 131 NA NA NA NA
## 132 -642.2470 NA NA 1.130348e-02
## 133 NA NA NA NA
## 134 -629.1266 NA NA 6.349765e-03
## 135 NA NA NA NA
## 136 -634.1546 NA NA 7.368776e-03
## 137 NA NA NA NA
## 138 -637.2626 NA NA 1.938293e-02
## 139 NA NA NA NA
## 140 -651.5587 NA NA 2.420004e-02
## 141 NA NA NA NA
## 142 -629.2245 NA NA 6.298705e-03
## 143 NA NA NA NA
## 144 -643.0764 NA NA 1.748731e-02
## 145 NA NA NA NA
## 146 -632.1432 NA NA 9.007477e-03
## 147 NA NA NA NA
## 148 -637.3245 NA NA 4.161659e-02
## 149 NA NA NA NA
## 150 -644.8198 NA NA 1.032171e-02
## 151 NA NA NA NA
## 152 -632.8281 NA NA 1.078027e-02
## 153 NA NA NA NA
## 154 -628.7657 NA NA 9.630618e-03
## 155 NA NA NA NA
## 156 -628.9224 NA NA 7.440493e-03
## 157 NA NA NA NA
## 158 -631.2150 NA NA 1.110050e-02
## 159 NA NA NA NA
## 160 -642.3957 NA NA 1.981866e-02
## 161 NA NA NA NA
## 162 -637.4908 NA NA 1.554410e-02
## 163 NA NA NA NA
## 164 -633.4424 NA NA 5.082622e-03
## 165 NA NA NA NA
## 166 -636.4562 NA NA 7.222835e-03
## 167 NA NA NA NA
## 168 -629.3407 NA NA 7.045466e-03
## 169 NA NA NA NA
## 170 -645.4847 NA NA 8.809264e-03
## 171 NA NA NA NA
## 172 -637.8351 NA NA 6.514240e-03
## 173 NA NA NA NA
## 174 -632.1014 NA NA 8.217026e-03
## 175 NA NA NA NA
## 176 -686.9165 NA NA 1.933660e-03
## 177 NA NA NA NA
## 178 -641.2558 NA NA 8.299351e-03
## 179 NA NA NA NA
## 180 -630.6479 NA NA 1.214647e-02
## 181 NA NA NA NA
## 182 -644.9845 NA NA 5.450241e-02
## 183 NA NA NA NA
## 184 -634.3540 NA NA 8.613019e-03
## 185 NA NA NA NA
## 186 -628.6102 NA NA 8.248712e-03
## 187 NA NA NA NA
## 188 -627.9277 NA NA 8.163367e-03
## 189 NA NA NA NA
## 190 -630.4011 NA NA 1.467294e-02
## 191 NA NA NA NA
## 192 -640.5465 NA NA 1.135804e-02
## 193 NA NA NA NA
## 194 -631.1534 NA NA 1.032224e-02
## 195 NA NA NA NA
## 196 -628.9887 NA NA 8.659062e-03
## 197 NA NA NA NA
## 198 -628.8017 NA NA 9.151856e-03
## 199 NA NA NA NA
## 200 -629.3195 NA NA 1.006774e-02
## 201 NA NA NA NA
## 202 -640.1707 NA NA 5.834378e-03
## 203 NA NA NA NA
## 204 -628.4005 NA NA 8.533514e-03
## 205 NA NA NA NA
## 206 -632.1417 NA NA 8.751516e-03
## 207 NA NA NA NA
## 208 -631.2472 NA NA 1.579464e-02
## 209 NA NA NA NA
## 210 -628.5523 NA NA 5.574889e-03
## 211 NA NA NA NA
## 212 -629.6397 NA NA 1.060090e-02
## 213 NA NA NA NA
## 214 -674.6462 NA NA 2.650379e-03
## 215 NA NA NA NA
## 216 -634.7981 NA NA 6.862961e-03
## 217 NA NA NA NA
## 218 -629.4403 NA NA 1.234282e-02
## 219 NA NA NA NA
## 220 -632.7928 NA NA 1.219758e-02
## 221 NA NA NA NA
## 222 -630.4712 NA NA 1.089523e-02
## 223 NA NA NA NA
## 224 -636.2652 NA NA 8.654284e-03
## 225 NA NA NA NA
## 226 -643.0438 NA NA 1.497451e-02
## 227 NA NA NA NA
## 228 -640.7730 NA NA 3.791163e-02
## 229 NA NA NA NA
## 230 -631.1039 NA NA 9.862822e-03
## 231 NA NA NA NA
## 232 -635.4925 NA NA 8.657463e-03
## 233 NA NA NA NA
## 234 -630.9057 NA NA 1.340817e-02
## 235 NA NA NA NA
## 236 -628.8280 NA NA 7.568983e-03
## 237 NA NA NA NA
## 238 -628.7447 NA NA 8.805858e-03
## 239 NA NA NA NA
## 240 -628.9660 NA NA 8.312781e-03
## 241 NA NA NA NA
## 242 -637.2436 NA NA 7.574451e-03
## 243 NA NA NA NA
## 244 -629.1190 NA NA 9.587483e-03
## 245 NA NA NA NA
## 246 -649.7966 NA NA 1.113219e-02
## 247 NA NA NA NA
## 248 -628.8849 NA NA 1.126100e-02
## 249 NA NA NA NA
## 250 -628.4248 NA NA 1.064294e-02
## 251 NA NA NA NA
## 252 -633.5342 NA NA 6.781617e-03
## 253 NA NA NA NA
## 254 -628.9196 NA NA 9.050789e-03
## 255 NA NA NA NA
## 256 -630.5571 NA NA 8.452604e-03
## 257 NA NA NA NA
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## 1716 -628.2017 NA NA 8.233905e-03
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## 1783 NA NA NA NA
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## 1785 NA NA NA NA
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## 1791 NA NA NA NA
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## 1797 NA NA NA NA
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## 1800 -631.8308 NA NA 1.293096e-02
## 1801 NA NA NA NA
## 1802 -640.9353 NA NA 1.228826e-02
## 1803 NA NA NA NA
## 1804 -639.1640 NA NA 4.763238e-03
## 1805 NA NA NA NA
## 1806 -641.3874 NA NA 1.598628e-02
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## 1808 -636.9179 NA NA 1.547264e-02
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## 1811 NA NA NA NA
## 1812 -629.7246 NA NA 8.026738e-03
## 1813 NA NA NA NA
## 1814 -635.0806 NA NA 1.195216e-02
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## 1816 -642.0631 NA NA 1.632222e-02
## 1817 NA NA NA NA
## 1818 -630.1093 NA NA 8.506982e-03
## 1819 NA NA NA NA
## 1820 -634.7301 NA NA 6.796450e-03
## 1821 NA NA NA NA
## 1822 -635.9791 NA NA 6.851679e-03
## 1823 NA NA NA NA
## 1824 -646.2134 NA NA 9.450563e-03
## 1825 NA NA NA NA
## 1826 -631.4443 NA NA 1.467608e-02
## 1827 NA NA NA NA
## 1828 -632.4449 NA NA 1.569826e-02
## 1829 NA NA NA NA
## 1830 -630.5957 NA NA 8.501908e-03
## 1831 NA NA NA NA
## 1832 -643.5239 NA NA 1.357223e-02
## 1833 NA NA NA NA
## 1834 -629.4676 NA NA 6.766339e-03
## 1835 NA NA NA NA
## 1836 -693.6615 NA NA 1.033404e-02
## 1837 NA NA NA NA
## 1838 -640.6455 NA NA 8.122713e-03
## 1839 NA NA NA NA
## 1840 -638.8019 NA NA 1.542507e-02
## 1841 NA NA NA NA
## 1842 -636.7805 NA NA 3.010133e-02
## 1843 NA NA NA NA
## 1844 -628.6911 NA NA 9.277473e-03
## 1845 NA NA NA NA
## 1846 -640.0286 NA NA 3.754843e-02
## 1847 NA NA NA NA
## 1848 -634.7624 NA NA 1.560045e-02
## 1849 NA NA NA NA
## 1850 -629.3127 NA NA 5.759296e-03
## 1851 NA NA NA NA
## 1852 -639.6198 NA NA 1.519399e-02
## 1853 NA NA NA NA
## 1854 -636.3365 NA NA 2.486637e-02
## 1855 NA NA NA NA
## 1856 -649.7441 NA NA 2.822776e-02
## 1857 NA NA NA NA
## 1858 -630.7228 NA NA 8.599883e-03
## 1859 NA NA NA NA
## 1860 -637.1565 NA NA 2.151505e-02
## 1861 NA NA NA NA
## 1862 -641.0857 NA NA 1.601610e-02
## 1863 NA NA NA NA
## 1864 -641.5645 NA NA 9.826434e-03
## 1865 NA NA NA NA
## 1866 -628.2603 NA NA 8.381871e-03
## 1867 NA NA NA NA
## 1868 -631.5637 NA NA 7.842771e-03
## 1869 NA NA NA NA
## 1870 -643.9720 NA NA 1.376104e-02
## 1871 NA NA NA NA
## 1872 -639.4347 NA NA 1.921385e-02
## 1873 NA NA NA NA
## 1874 -639.4908 NA NA 1.406043e-02
## 1875 NA NA NA NA
## 1876 -657.7325 NA NA 7.148719e-03
## 1877 NA NA NA NA
## 1878 -630.0208 NA NA 8.951891e-03
## 1879 NA NA NA NA
## 1880 -631.1900 NA NA 1.182873e-02
## 1881 NA NA NA NA
## 1882 -632.0668 NA NA 1.419463e-02
## 1883 NA NA NA NA
## 1884 -697.8529 NA NA 1.126673e-02
## 1885 NA NA NA NA
## 1886 -639.2702 NA NA 2.036511e-02
## 1887 NA NA NA NA
## 1888 -640.6196 NA NA 1.417396e-02
## 1889 NA NA NA NA
## 1890 -637.0651 NA NA 1.108201e-02
## 1891 NA NA NA NA
## 1892 -633.6917 NA NA 5.588327e-03
## 1893 NA NA NA NA
## 1894 -638.9125 NA NA 1.101802e-02
## 1895 NA NA NA NA
## 1896 -630.3836 NA NA 7.014634e-03
## 1897 NA NA NA NA
## 1898 -636.9164 NA NA 1.007433e-02
## 1899 NA NA NA NA
## 1900 -637.6683 NA NA 1.069024e-02
## 1901 NA NA NA NA
## 1902 -638.9411 NA NA 2.136069e-02
## 1903 NA NA NA NA
## 1904 -639.5286 NA NA 1.122072e-02
## 1905 NA NA NA NA
## 1906 -629.3093 NA NA 9.252720e-03
## 1907 NA NA NA NA
## 1908 -628.4576 NA NA 8.574377e-03
## 1909 NA NA NA NA
## 1910 -629.0853 NA NA 7.999837e-03
## 1911 NA NA NA NA
## 1912 -637.3179 NA NA 2.338036e-02
## 1913 NA NA NA NA
## 1914 -628.8571 NA NA 1.000656e-02
## 1915 NA NA NA NA
## 1916 -633.0857 NA NA 1.167580e-02
## 1917 NA NA NA NA
## 1918 -629.1509 NA NA 5.751243e-03
## 1919 NA NA NA NA
## 1920 -632.4571 NA NA 6.694015e-03
## 1921 NA NA NA NA
## 1922 -631.2359 NA NA 1.620804e-02
## 1923 NA NA NA NA
## 1924 -637.8608 NA NA 1.421096e-02
## 1925 NA NA NA NA
## 1926 -634.1170 NA NA 7.738616e-03
## 1927 NA NA NA NA
## 1928 -630.2338 NA NA 1.433560e-02
## 1929 NA NA NA NA
## 1930 -640.7410 NA NA 1.225343e-02
## 1931 NA NA NA NA
## 1932 -634.5153 NA NA 8.958996e-03
## 1933 NA NA NA NA
## 1934 -634.0436 NA NA 1.469861e-02
## 1935 NA NA NA NA
## 1936 -629.0883 NA NA 1.159992e-02
## 1937 NA NA NA NA
## 1938 -628.3398 NA NA 9.126228e-03
## 1939 NA NA NA NA
## 1940 -629.3118 NA NA 1.388529e-02
## 1941 NA NA NA NA
## 1942 -629.6598 NA NA 9.492233e-03
## 1943 NA NA NA NA
## 1944 -629.8590 NA NA 8.052499e-03
## 1945 NA NA NA NA
## 1946 -644.9639 NA NA 4.689164e-02
## 1947 NA NA NA NA
## 1948 -653.1747 NA NA 1.431799e-02
## 1949 NA NA NA NA
## 1950 -629.4855 NA NA 9.006695e-03
## 1951 NA NA NA NA
## 1952 -628.7318 NA NA 5.254331e-03
## 1953 NA NA NA NA
## 1954 -639.6365 NA NA 1.109529e-02
## 1955 NA NA NA NA
## 1956 -646.7624 NA NA 5.785631e-03
## 1957 NA NA NA NA
## 1958 -632.0874 NA NA 1.239644e-02
## 1959 NA NA NA NA
## 1960 -627.4471 NA NA 6.887425e-03
## 1961 NA NA NA NA
## 1962 -628.4001 NA NA 1.335073e-02
## 1963 NA NA NA NA
## 1964 -628.3357 NA NA 9.556370e-03
## 1965 NA NA NA NA
## 1966 -630.8837 NA NA 5.872650e-03
## 1967 NA NA NA NA
## 1968 -628.1519 NA NA 1.035522e-02
## 1969 NA NA NA NA
## 1970 -630.0432 NA NA 8.801370e-03
## 1971 NA NA NA NA
## 1972 -628.2000 NA NA 9.239712e-03
## 1973 NA NA NA NA
## 1974 -631.5343 NA NA 8.321069e-03
## 1975 NA NA NA NA
## 1976 -628.5277 NA NA 6.355080e-03
## 1977 NA NA NA NA
## 1978 -629.6987 NA NA 1.045923e-02
## 1979 NA NA NA NA
## 1980 -630.9797 NA NA 1.617385e-02
## 1981 NA NA NA NA
## 1982 -629.3051 NA NA 6.396822e-03
## 1983 NA NA NA NA
## 1984 -628.7499 NA NA 9.005611e-03
## 1985 NA NA NA NA
## 1986 -633.4932 NA NA 1.160052e-02
## 1987 NA NA NA NA
## 1988 -628.8172 NA NA 7.245341e-03
## 1989 NA NA NA NA
## 1990 -638.7806 NA NA 3.294707e-02
## 1991 NA NA NA NA
## 1992 -628.2718 NA NA 9.580040e-03
## 1993 NA NA NA NA
## 1994 -649.8397 NA NA 1.237594e-02
## 1995 NA NA NA NA
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## [ reached getOption("max.print") -- omitted 47298 rows ]
##
## [[2]]
## M_0 V_0 K_0 R_0 b_q b_a b_p p_S
## 1 5 13 14 4.8596623 0.984408705 0 0.0818085971 0.699855403
## 2 5 13 14 4.8596623 0.984408705 0 0.0818085971 0.699855403
## 3 5 13 14 4.3958204 0.983606526 0 0.0870556476 0.690463263
## 4 5 13 14 2.8123215 0.985127379 0 0.0882445081 0.640678320
## 5 5 13 14 1.8648602 0.979405150 0 0.0831224049 0.633151395
## 6 5 13 14 1.4314354 0.980340720 0 0.0827591260 0.631504289
## 7 5 13 14 1.4544884 0.982582843 0 0.0716013708 0.621555126
## 8 5 13 14 1.2336131 0.978710092 0 0.0663515817 0.682167602
## 9 5 13 14 1.0466583 0.974604413 0 0.0599094663 0.739852809
## 10 5 13 14 1.1919595 0.974156705 0 0.0599073748 0.706163458
## 11 5 13 14 1.1432543 0.973618553 0 0.0564835173 0.698157005
## 12 5 13 14 1.1240836 0.972821646 0 0.0515263487 0.782214872
## 13 5 13 14 1.0437666 0.977880575 0 0.0471117707 0.820348358
## 14 5 13 14 0.9628188 0.977110681 0 0.0451492381 0.802789106
## 15 5 13 14 1.0130850 0.983122613 0 0.0472195681 0.819228420
## 16 5 13 14 0.9587037 0.974397511 0 0.0609317699 0.817650328
## 17 5 13 14 0.9802109 0.973079021 0 0.0650340851 0.824581313
## 18 5 13 14 0.9917719 0.971567265 0 0.0657662581 0.830502445
## 19 5 13 14 0.8639338 0.972946479 0 0.0576283177 0.859916962
## 20 5 13 14 0.8486248 0.973635920 0 0.0542281855 0.869653103
## 21 5 13 14 0.8785861 0.965393123 0 0.0541153738 0.862585229
## 22 5 13 14 0.9947912 0.965064701 0 0.0522542580 0.852613569
## 23 5 13 14 0.9770882 0.965858410 0 0.0528888773 0.858149878
## 24 5 13 14 0.9229197 0.965747161 0 0.0496827611 0.862650243
## 25 5 13 14 0.9250267 0.968278402 0 0.0446464441 0.874146893
## 26 5 13 14 1.0342138 0.968535401 0 0.0512412950 0.841915413
## 27 5 13 14 0.8918079 0.964265707 0 0.0533582212 0.828402046
## 28 5 13 14 0.9650367 0.960790464 0 0.0508191659 0.846146764
## 29 5 13 14 0.9024784 0.957879156 0 0.0407533609 0.836997714
## 30 5 13 14 1.0285214 0.951270784 0 0.0441100742 0.855672821
## 31 5 13 14 1.0138535 0.951166538 0 0.0469844392 0.843862648
## 32 5 13 14 1.0053887 0.950731877 0 0.0338352018 0.874296596
## 33 5 13 14 0.9103487 0.944855974 0 0.0525550732 0.893591485
## 34 5 13 14 0.9249773 0.935034459 0 0.0605813263 0.912348456
## 35 5 13 14 0.8848238 0.939522152 0 0.0589622845 0.908796359
## 36 5 13 14 0.8764943 0.929738406 0 0.0620014877 0.905486661
## 37 5 13 14 0.8034818 0.937461603 0 0.0640167652 0.907355717
## 38 5 13 14 0.8739094 0.939332215 0 0.0604665330 0.912844093
## 39 5 13 14 0.8880509 0.933281457 0 0.0524292397 0.922428412
## 40 5 13 14 0.8949035 0.918463264 0 0.0570346077 0.919416714
## 41 5 13 14 0.9160629 0.923549764 0 0.0553353975 0.902935253
## 42 5 13 14 0.9199189 0.898675473 0 0.0542070730 0.900878546
## 43 5 13 14 0.8503662 0.896219108 0 0.0626952034 0.923160102
## 44 5 13 14 0.9219410 0.887349679 0 0.0568929820 0.932346183
## 45 5 13 14 0.9743658 0.872976750 0 0.0540016330 0.935522090
## 46 5 13 14 0.8828904 0.865498923 0 0.0468712406 0.931178318
## 47 5 13 14 0.9049803 0.853756826 0 0.0563332692 0.936625937
## 48 5 13 14 0.9289844 0.838894604 0 0.0663732177 0.947794850
## 49 5 13 14 0.9485812 0.816223493 0 0.0644173695 0.949100184
## 50 5 13 14 0.9415992 0.812841511 0 0.0728544105 0.948060048
## 51 5 13 14 0.9439756 0.787430500 0 0.0735508414 0.948055576
## 52 5 13 14 0.9650699 0.755823032 0 0.0726407418 0.943283020
## 53 5 13 14 0.9650699 0.755823032 0 0.0726407418 0.943283020
## 54 5 13 14 0.8637432 0.725868267 0 0.0684376001 0.943124670
## 55 5 13 14 0.8239197 0.706584864 0 0.0716546479 0.929854034
## 56 5 13 14 0.9322872 0.673772905 0 0.0890855224 0.926553706
## 57 5 13 14 0.9892608 0.590693541 0 0.1036646850 0.920503014
## 58 5 13 14 1.1810008 0.445628611 0 0.1004822186 0.944988238
## 59 5 13 14 1.1308295 0.431757879 0 0.0908575195 0.942580768
## 60 5 13 14 1.4811575 0.333667905 0 0.1225531230 0.955003835
## 61 5 13 14 1.4259278 0.341989981 0 0.1180631972 0.948917843
## 62 5 13 14 1.4633434 0.336483543 0 0.1283092040 0.951102360
## 63 5 13 14 1.4034107 0.345985863 0 0.1197211029 0.944711164
## 64 5 13 14 1.4721244 0.339225645 0 0.0976311130 0.942040670
## 65 5 13 14 1.4887005 0.332144774 0 0.0878380761 0.935694551
## 66 5 13 14 1.5236537 0.335147884 0 0.0785862822 0.919548024
## 67 5 13 14 1.5201482 0.323941930 0 0.0859482176 0.938013123
## 68 5 13 14 1.5578534 0.303911716 0 0.0961943371 0.949711694
## 69 5 13 14 1.5050235 0.313479731 0 0.1142118689 0.952647092
## 70 5 13 14 1.5079987 0.313425286 0 0.1061834752 0.953533811
## 71 5 13 14 1.5209688 0.314013888 0 0.1146353867 0.944145419
## 72 5 13 14 1.4624564 0.321300697 0 0.0851535766 0.956941380
## 73 5 13 14 1.5961963 0.304663224 0 0.0755697360 0.951052521
## 74 5 13 14 1.5173159 0.313158655 0 0.0703379977 0.956971282
## 75 5 13 14 1.4867036 0.321273207 0 0.0756045898 0.958508679
## 76 5 13 14 1.4538363 0.332596848 0 0.0761814650 0.951592482
## 77 5 13 14 1.5610285 0.310414052 0 0.0742074298 0.954933458
## 78 5 13 14 1.5648621 0.309242364 0 0.0778978686 0.941563396
## 79 5 13 14 1.6163162 0.307217917 0 0.0921340015 0.914791129
## 80 5 13 14 1.7173149 0.299067034 0 0.0876986893 0.901196784
## 81 5 13 14 1.8292081 0.265738906 0 0.0750406675 0.923066281
## 82 5 13 14 1.8555552 0.278450421 0 0.0815581180 0.891208438
## 83 5 13 14 1.7683661 0.287566731 0 0.0777564462 0.914542660
## 84 5 13 14 1.7110172 0.288045220 0 0.0756006633 0.930954949
## 85 5 13 14 1.7611538 0.279642597 0 0.0764112006 0.938718306
## 86 5 13 14 1.6247033 0.294519903 0 0.0712123080 0.953119165
## 87 5 13 14 1.7339663 0.278075655 0 0.0673370993 0.951936635
## 88 5 13 14 1.6338090 0.302581601 0 0.0617488757 0.936530654
## 89 5 13 14 1.6498571 0.298567539 0 0.0553117035 0.936577828
## 90 5 13 14 1.7098516 0.289237570 0 0.0624334317 0.934186303
## 91 5 13 14 1.7054710 0.282274488 0 0.0556624858 0.947247067
## 92 5 13 14 1.7116799 0.277434325 0 0.0489757956 0.953538801
## 93 5 13 14 1.7462761 0.282329919 0 0.0532252484 0.941202262
## 94 5 13 14 1.7693413 0.277472469 0 0.0653607526 0.930180305
## 95 5 13 14 1.7676633 0.283535824 0 0.0626087762 0.928530110
## 96 5 13 14 1.8507524 0.273210523 0 0.0630489974 0.910737870
## 97 5 13 14 1.7976492 0.286133922 0 0.0668209946 0.909089553
## 98 5 13 14 1.7899240 0.285399462 0 0.0744753688 0.902631633
## 99 5 13 14 1.9144374 0.268698350 0 0.0837873064 0.889441275
## 100 5 13 14 1.9169891 0.268822599 0 0.0865865494 0.879163592
## 101 5 13 14 1.9887819 0.267943727 0 0.0778987271 0.858552996
## 102 5 13 14 2.0586461 0.265009079 0 0.0762273957 0.843680820
## 103 5 13 14 2.1192063 0.260548861 0 0.0757769475 0.837767415
## 104 5 13 14 2.1192063 0.260548861 0 0.0757769475 0.837767415
## 105 5 13 14 5.1151278 0.510544449 0 0.9754599106 0.916481741
## 106 5 13 14 5.1151278 0.510544449 0 0.9754599106 0.916481741
## 107 5 13 14 4.5263562 0.440422940 0 0.9652229224 0.914182463
## 108 5 13 14 4.1740700 0.394027672 0 0.9642183607 0.911976521
## 109 5 13 14 1.6488465 0.329364779 0 0.9587480439 0.915123129
## 110 5 13 14 1.5679871 0.297201498 0 0.9577036677 0.925264144
## 111 5 13 14 2.2650590 0.206312161 0 0.9642074298 0.936747803
## 112 5 13 14 2.0950115 0.214239667 0 0.9642677986 0.942553529
## 113 5 13 14 2.0787304 0.215299467 0 0.9659199001 0.939710205
## 114 5 13 14 2.1400822 0.208879887 0 0.9698475504 0.937307017
## 115 5 13 14 2.1119265 0.209773986 0 0.9658606448 0.938357736
## 116 5 13 14 2.1116618 0.208442520 0 0.9677949434 0.933771502
## 117 5 13 14 2.0101445 0.214922056 0 0.9685257279 0.938221138
## 118 5 13 14 1.9541346 0.222150278 0 0.9738127989 0.934675285
## 119 5 13 14 2.0765058 0.216729287 0 0.9741720046 0.913443755
## 120 5 13 14 2.0493943 0.219904106 0 0.9743063861 0.896313422
## 121 5 13 14 2.2063367 0.207485620 0 0.9776417238 0.872167270
## 122 5 13 14 2.1950115 0.208847488 0 0.9743922457 0.860577469
## 123 5 13 14 2.2044071 0.209128612 0 0.9760642286 0.866535379
## 124 5 13 14 2.1453555 0.210439974 0 0.9721376768 0.862573047
## 125 5 13 14 2.2185896 0.213045950 0 0.9688330866 0.823781938
## 126 5 13 14 2.2518835 0.203912709 0 0.9735843653 0.857595193
## 127 5 13 14 2.1668494 0.209780159 0 0.9731197366 0.863054513
## 128 5 13 14 2.3570441 0.200900183 0 0.9762409090 0.827085043
## 129 5 13 14 2.2779165 0.203641814 0 0.9768476867 0.845292151
## 130 5 13 14 2.3882546 0.194223535 0 0.9823623378 0.839073812
## 131 5 13 14 2.4390237 0.192424836 0 0.9860396346 0.829224566
## 132 5 13 14 2.3744042 0.197314667 0 0.9864739031 0.836568656
## 133 5 13 14 2.3184074 0.199814039 0 0.9876709343 0.836320387
## 134 5 13 14 2.3304010 0.198828465 0 0.9867724155 0.835036355
## 135 5 13 14 2.4136813 0.191730996 0 0.9882832211 0.830102170
## 136 5 13 14 2.4506784 0.190774224 0 0.9885676707 0.818829133
## 137 5 13 14 2.6063562 0.185668493 0 0.9891383862 0.791625020
## 138 5 13 14 2.6497748 0.184897930 0 0.9896290901 0.782566687
## 139 5 13 14 2.5087186 0.191808092 0 0.9892238133 0.798214765
## 140 5 13 14 2.5896461 0.186757356 0 0.9899383473 0.794274968
## 141 5 13 14 2.5222090 0.190321480 0 0.9915092434 0.795821349
## 142 5 13 14 2.5612219 0.189374292 0 0.9913667800 0.784692101
## 143 5 13 14 2.8763547 0.179472507 0 0.9877595200 0.748030643
## 144 5 13 14 2.8781964 0.182861260 0 0.9860357164 0.717717389
## 145 5 13 14 3.0708206 0.179565690 0 0.9858112961 0.693835525
## 146 5 13 14 3.1693900 0.176521700 0 0.9842293773 0.674401632
## 147 5 13 14 3.4425704 0.170878431 0 0.9821843526 0.635029479
## 148 5 13 14 3.4864641 0.166185009 0 0.9812212166 0.642000532
## 149 5 13 14 3.6189355 0.165287053 0 0.9762080309 0.613929808
## 150 5 13 14 3.5820413 0.162527068 0 0.9755867873 0.626987519
## 151 5 13 14 3.5603628 0.163406314 0 0.9763734297 0.632951643
## 152 5 13 14 3.6179666 0.161618753 0 0.9732206285 0.625996525
## 153 5 13 14 3.5580990 0.162897796 0 0.9737069617 0.631654648
## 154 5 13 14 3.5870268 0.163562639 0 0.9729624473 0.625430864
## 155 5 13 14 3.7440969 0.161379740 0 0.9729801021 0.604039227
## 156 5 13 14 3.7924584 0.159907025 0 0.9713556943 0.603585592
## 157 5 13 14 3.7924584 0.159907025 0 0.9713556943 0.603585592
## 158 5 13 14 3.8504291 0.159862763 0 0.9717825059 0.609295052
## 159 5 13 14 3.6913788 0.166830115 0 0.9721264073 0.604611073
## 160 5 13 14 3.6274924 0.169726686 0 0.9728421751 0.603651186
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## 162 5 13 14 3.5396681 0.173205138 0 0.9705286779 0.609977227
## 163 5 13 14 3.7649167 0.167107854 0 0.9732921366 0.576303374
## 164 5 13 14 4.0081092 0.159818956 0 0.9753295751 0.569023909
## 165 5 13 14 3.9812179 0.157286868 0 0.9805440243 0.582076118
## 166 5 13 14 3.9296381 0.160914838 0 0.9768380707 0.584119549
## 167 5 13 14 3.9138736 0.160222713 0 0.9800127928 0.582170843
## 168 5 13 14 3.8144052 0.161813019 0 0.9836729728 0.587679781
## 169 5 13 14 3.9416803 0.160221056 0 0.9815637905 0.576680560
## 170 5 13 14 3.8451791 0.161313030 0 0.9853771287 0.582650652
## 171 5 13 14 3.7760563 0.161786191 0 0.9866774025 0.585623710
## 172 5 13 14 3.8573284 0.160119921 0 0.9862043813 0.577929194
## 173 5 13 14 3.7315327 0.160007359 0 0.9874998341 0.597667381
## 174 5 13 14 3.5183156 0.165251356 0 0.9900615040 0.606451047
## 175 5 13 14 3.4438190 0.166203314 0 0.9920530342 0.614668822
## 176 5 13 14 3.2053371 0.170319887 0 0.9926263958 0.644581735
## 177 5 13 14 3.2261338 0.169171683 0 0.9914260214 0.650347856
## 178 5 13 14 3.1540281 0.170779679 0 0.9913221224 0.657125520
## 179 5 13 14 3.3236403 0.166166498 0 0.9898044251 0.636646333
## 180 5 13 14 3.3340314 0.166990711 0 0.9888983274 0.633485654
## 181 5 13 14 3.3772569 0.164156557 0 0.9870794919 0.634782688
## 182 5 13 14 3.4489235 0.162240657 0 0.9866066343 0.628365465
## 183 5 13 14 3.5605595 0.160921706 0 0.9816679421 0.606801695
## 184 5 13 14 3.6392646 0.159071609 0 0.9788595451 0.604493304
## 185 5 13 14 3.6883417 0.156543628 0 0.9755744074 0.608653941
## 186 5 13 14 3.6142486 0.158111345 0 0.9757505514 0.617014469
## 187 5 13 14 3.6427703 0.158255587 0 0.9770522763 0.612400206
## 188 5 13 14 3.7649818 0.155050630 0 0.9793168491 0.602581629
## 189 5 13 14 3.7994616 0.154821443 0 0.9800372206 0.594962855
## 190 5 13 14 3.8371859 0.153196588 0 0.9831924571 0.597206379
## 191 5 13 14 3.7976349 0.154743775 0 0.9840249763 0.597188476
## 192 5 13 14 3.6057019 0.158777908 0 0.9845766706 0.609866077
## 193 5 13 14 3.7437888 0.155614965 0 0.9848506561 0.598884014
## 194 5 13 14 3.6545728 0.155991129 0 0.9819905919 0.611532512
## 195 5 13 14 3.6648458 0.155549839 0 0.9816695250 0.612205801
## 196 5 13 14 3.5693297 0.157392812 0 0.9775166493 0.618254931
## 197 5 13 14 3.5591009 0.155888909 0 0.9706158845 0.628257769
## 198 5 13 14 3.5618603 0.156355951 0 0.9718798620 0.625721832
## 199 5 13 14 3.5356241 0.157688769 0 0.9715841825 0.625349757
## 200 5 13 14 3.5267069 0.157951403 0 0.9716256020 0.630476278
## 201 5 13 14 3.5286997 0.158777727 0 0.9730092386 0.622465866
## 202 5 13 14 3.5235741 0.158175670 0 0.9722922454 0.627931344
## 203 5 13 14 3.4832844 0.156599695 0 0.9714320172 0.641813337
## 204 5 13 14 3.5533182 0.156081116 0 0.9709806098 0.629836645
## 205 5 13 14 3.6460093 0.153874288 0 0.9702205685 0.623433945
## 206 5 13 14 3.5738862 0.154377960 0 0.9699160246 0.634989959
## 207 5 13 14 3.5254816 0.155872804 0 0.9717975324 0.634422795
## 208 5 13 14 3.5254816 0.155872804 0 0.9717975324 0.634422795
## 209 5 13 14 3.4206478 0.322829728 0 0.6635927767 0.127291116
## 210 5 13 14 3.4206478 0.322829728 0 0.6635927767 0.127291116
## 211 5 13 14 3.6759687 0.351999565 0 0.6685784920 0.130376824
## 212 5 13 14 3.4608619 0.290141116 0 0.6778589851 0.141348380
## 213 5 13 14 3.0127165 0.315613027 0 0.7003660954 0.168052871
## 214 5 13 14 5.5536307 0.343581909 0 0.7193270237 0.263104501
## 215 5 13 14 5.6945030 0.335277049 0 0.7280881897 0.283622610
## 216 5 13 14 6.1818512 0.253648270 0 0.6632761350 0.259955836
## 217 5 13 14 7.6678406 0.187967385 0 0.6761635125 0.254402565
## 218 5 13 14 8.9707895 0.153174198 0 0.6759419908 0.279501908
## 219 5 13 14 8.9170288 0.149781918 0 0.6764316682 0.294247255
## 220 5 13 14 8.2314194 0.154767051 0 0.6947910252 0.302602891
## 221 5 13 14 8.1477060 0.155556407 0 0.6765192702 0.306534393
## 222 5 13 14 8.1053941 0.152810543 0 0.6927077290 0.311267707
## 223 5 13 14 8.1229891 0.152859857 0 0.6759438766 0.313853890
## 224 5 13 14 8.2266014 0.149163016 0 0.6505770846 0.320214208
## 225 5 13 14 8.1821358 0.151947987 0 0.6491229622 0.315137121
## 226 5 13 14 7.1656505 0.160657329 0 0.6210413700 0.346569611
## 227 5 13 14 6.8963926 0.160793938 0 0.5960660807 0.368925263
## 228 5 13 14 7.7034173 0.152574082 0 0.5957777431 0.345269041
## 229 5 13 14 7.3529711 0.155354208 0 0.5984591645 0.351780996
## 230 5 13 14 6.5238731 0.162376579 0 0.6272718497 0.378301231
## 231 5 13 14 6.7448904 0.157123101 0 0.5800369951 0.383665008
## 232 5 13 14 7.3798649 0.148229187 0 0.6208855084 0.373609608
## 233 5 13 14 7.0727418 0.154048651 0 0.6290570418 0.371803472
## 234 5 13 14 7.1198662 0.152569284 0 0.6174383055 0.377967271
## 235 5 13 14 6.8840414 0.157404410 0 0.6142681527 0.369241412
## 236 5 13 14 6.5246965 0.161551056 0 0.6204344586 0.382568498
## 237 5 13 14 6.2445663 0.161995032 0 0.6507496745 0.388422039
## 238 5 13 14 6.2263320 0.164774946 0 0.6666128660 0.380507054
## 239 5 13 14 5.8928339 0.165872909 0 0.6470386686 0.405210448
## 240 5 13 14 6.1049530 0.163091336 0 0.6276872531 0.399764903
## 241 5 13 14 6.6871294 0.156431975 0 0.6150431955 0.377397888
## 242 5 13 14 7.3710476 0.153658165 0 0.5602301389 0.351105904
## 243 5 13 14 7.5141467 0.153045550 0 0.5567027826 0.342135977
## 244 5 13 14 8.3951872 0.147168011 0 0.5193617407 0.321265131
## 245 5 13 14 8.3603033 0.146349139 0 0.4999639239 0.324742118
## 246 5 13 14 8.2668913 0.146992577 0 0.4935090054 0.325444052
## 247 5 13 14 8.0566669 0.145814482 0 0.4745163539 0.341745282
## 248 5 13 14 8.0596245 0.145485139 0 0.4788046348 0.340783941
## 249 5 13 14 8.2054140 0.146492549 0 0.4694315272 0.333030789
## 250 5 13 14 8.0931125 0.145931477 0 0.4569783341 0.341959778
## 251 5 13 14 8.2143016 0.147204922 0 0.4608837233 0.331287676
## 252 5 13 14 8.4306579 0.147359778 0 0.4514889145 0.323183456
## 253 5 13 14 8.5827431 0.145923073 0 0.4466764947 0.319086166
## 254 5 13 14 8.8863116 0.142624659 0 0.4378852181 0.319400157
## 255 5 13 14 8.6718928 0.145172749 0 0.4549236451 0.316524289
## 256 5 13 14 8.0367511 0.149980316 0 0.4717623420 0.330747763
## 257 5 13 14 7.8290967 0.151510312 0 0.4958701528 0.331429814
## 258 5 13 14 8.1078419 0.147963205 0 0.4875771273 0.328061661
## 259 5 13 14 8.2769760 0.148093733 0 0.4691132502 0.324516963
## 260 5 13 14 8.1868112 0.148407864 0 0.4496560140 0.328764117
## 261 5 13 14 8.1868112 0.148407864 0 0.4496560140 0.328764117
## 262 5 13 14 8.0818004 0.151310658 0 0.4499119874 0.338294449
## 263 5 13 14 8.1033256 0.153111993 0 0.4529093141 0.335415950
## 264 5 13 14 7.9320648 0.155430960 0 0.4571124698 0.335499127
## 265 5 13 14 7.7919277 0.153587644 0 0.4389972109 0.351053487
## 266 5 13 14 7.1939147 0.161935813 0 0.4448696896 0.351485051
## 267 5 13 14 7.3462486 0.157164011 0 0.4400717701 0.359312065
## 268 5 13 14 7.1648829 0.155868298 0 0.4385059225 0.371742129
## 269 5 13 14 7.0269933 0.159188695 0 0.4515440015 0.362817752
## 270 5 13 14 6.9541838 0.162071395 0 0.4514837429 0.363204634
## 271 5 13 14 7.5907559 0.154682364 0 0.4224572601 0.348295945
## 272 5 13 14 7.9790592 0.151147386 0 0.4228681083 0.341740301
## 273 5 13 14 7.7209055 0.154222678 0 0.4204609929 0.342672093
## 274 5 13 14 7.8750341 0.150511121 0 0.4442646288 0.338057115
## 275 5 13 14 8.0844444 0.150346898 0 0.4500138110 0.326374500
## 276 5 13 14 8.9470298 0.145623891 0 0.4089516170 0.306424146
## 277 5 13 14 8.8543511 0.146021362 0 0.3684291367 0.311012381
## 278 5 13 14 9.4266054 0.142820366 0 0.3095893885 0.310578118
## 279 5 13 14 8.9448520 0.147779472 0 0.3613075682 0.306993276
## 280 5 13 14 9.6028258 0.141321390 0 0.2862240540 0.312745909
## 281 5 13 14 8.9996746 0.147335080 0 0.3308753868 0.315487325
## 282 5 13 14 8.6724916 0.151144919 0 0.2880221156 0.320712534
## 283 5 13 14 8.8661759 0.145773044 0 0.1920596181 0.335652177
## 284 5 13 14 8.9509683 0.144461683 0 0.1921019579 0.337625881
## 285 5 13 14 9.0779993 0.143243953 0 0.1795289201 0.339422081
## 286 5 13 14 9.0657030 0.141956136 0 0.1792788775 0.342280432
## 287 5 13 14 9.4907256 0.138080187 0 0.1583280838 0.338575381
## 288 5 13 14 9.2532101 0.139998330 0 0.1615889927 0.340538061
## 289 5 13 14 9.4004065 0.137743292 0 0.1545318429 0.340149640
## 290 5 13 14 9.4182334 0.139265338 0 0.1547299363 0.337764677
## 291 5 13 14 9.7083247 0.136321826 0 0.1604913574 0.331696419
## 292 5 13 14 9.6321521 0.137459442 0 0.1635989995 0.331981305
## 293 5 13 14 9.6306672 0.134664871 0 0.1694782219 0.337551308
## 294 5 13 14 9.7353130 0.137232215 0 0.1720540335 0.329612583
## 295 5 13 14 9.3828792 0.139687954 0 0.1776425661 0.333891856
## 296 5 13 14 9.1287136 0.141120979 0 0.1883133721 0.337096929
## 297 5 13 14 9.5343387 0.137869461 0 0.1881472425 0.326877206
## 298 5 13 14 8.8248119 0.141725506 0 0.2075486677 0.339525485
## 299 5 13 14 8.4099434 0.144444351 0 0.2215484572 0.348216896
## 300 5 13 14 8.6150263 0.142671994 0 0.2244450107 0.343755784
## 301 5 13 14 8.6014703 0.145146247 0 0.2266661868 0.338251896
## 302 5 13 14 8.3067408 0.147376495 0 0.2422437343 0.337723535
## 303 5 13 14 8.2548688 0.146955840 0 0.2520831161 0.343726607
## 304 5 13 14 8.3591209 0.146575731 0 0.2631007113 0.338097301
## 305 5 13 14 8.5819054 0.143604319 0 0.2612265689 0.333348853
## 306 5 13 14 8.5623866 0.145891318 0 0.2509122776 0.331101889
## 307 5 13 14 8.6143074 0.144309068 0 0.2456630326 0.334549144
## 308 5 13 14 8.5287648 0.145062942 0 0.2462750193 0.334754592
## 309 5 13 14 8.8248035 0.142956075 0 0.2464782614 0.329917753
## 310 5 13 14 8.5916546 0.145072829 0 0.2465762167 0.332088706
## 311 5 13 14 8.7812583 0.143679774 0 0.2472609724 0.326426989
## 312 5 13 14 8.7812583 0.143679774 0 0.2472609724 0.326426989
## 313 5 13 14 7.1830478 0.049635817 0 0.7391293912 0.186906342
## 314 5 13 14 7.1830478 0.049635817 0 0.7391293912 0.186906342
## 315 5 13 14 10.2884167 0.063270912 0 0.7596978021 0.370616798
## 316 5 13 14 11.2763837 0.082764497 0 0.7692006331 0.461386572
## 317 5 13 14 9.2969913 0.094712485 0 0.7783228525 0.468191191
## 318 5 13 14 8.8784241 0.114499501 0 0.7781224719 0.435002788
## 319 5 13 14 8.3052260 0.132740695 0 0.7734828629 0.386233190
## 320 5 13 14 8.1291149 0.142845061 0 0.7733661135 0.355371517
## 321 5 13 14 7.6312543 0.146915991 0 0.7994770205 0.356613946
## 322 5 13 14 7.2964693 0.152120625 0 0.8044860188 0.354761520
## 323 5 13 14 6.6092034 0.160504680 0 0.7999044351 0.365617901
## 324 5 13 14 6.3167596 0.166243965 0 0.7944683570 0.366604043
## 325 5 13 14 6.3151154 0.163102801 0 0.7978448741 0.371466979
## 326 5 13 14 6.3968422 0.163243633 0 0.8195342194 0.351627001
## 327 5 13 14 6.2572800 0.166743572 0 0.8172141031 0.348497097
## 328 5 13 14 5.9498255 0.168798268 0 0.8182752072 0.364464113
## 329 5 13 14 5.8169962 0.170633329 0 0.8042088121 0.374949587
## 330 5 13 14 5.7975582 0.169187576 0 0.8006762950 0.379649569
## 331 5 13 14 5.4584434 0.173695051 0 0.7892685280 0.388669178
## 332 5 13 14 5.4967353 0.172247180 0 0.7756330189 0.394052514
## 333 5 13 14 5.4523642 0.173982824 0 0.7974556118 0.393583761
## 334 5 13 14 5.4197031 0.176998420 0 0.8077352624 0.379522364
## 335 5 13 14 5.3867012 0.177625905 0 0.7992121159 0.375370268
## 336 5 13 14 5.5729110 0.174182944 0 0.7908468641 0.368414231
## 337 5 13 14 5.7213019 0.172166448 0 0.7891699349 0.359537543
## 338 5 13 14 5.5432133 0.175763147 0 0.7824057906 0.370079627
## 339 5 13 14 5.5421543 0.174484721 0 0.7841245166 0.369337384
## 340 5 13 14 5.6280544 0.171897632 0 0.7955038782 0.366727976
## 341 5 13 14 5.4287882 0.176973065 0 0.8241195378 0.362880005
## 342 5 13 14 5.4381801 0.175490755 0 0.8256349233 0.367437489
## 343 5 13 14 5.3998302 0.173876985 0 0.8254980238 0.376599271
## 344 5 13 14 5.5376256 0.171324684 0 0.8138961976 0.373501538
## 345 5 13 14 5.6578174 0.171956245 0 0.7962711251 0.364519362
## 346 5 13 14 5.4875155 0.172580080 0 0.8198661002 0.369703767
## 347 5 13 14 5.7375514 0.176190931 0 0.8082661784 0.345752963
## 348 5 13 14 6.0482838 0.171018995 0 0.8190487033 0.330734357
## 349 5 13 14 6.1897936 0.168068182 0 0.8029988500 0.329804558
## 350 5 13 14 6.5050301 0.166911849 0 0.7847433738 0.316444719
## 351 5 13 14 6.3121631 0.167767684 0 0.7907647398 0.324782543
## 352 5 13 14 6.2203830 0.169322694 0 0.7791383828 0.331796059
## 353 5 13 14 6.0314040 0.171712389 0 0.7970251167 0.338045720
## 354 5 13 14 5.9670107 0.173084130 0 0.7958149965 0.338151531
## 355 5 13 14 6.0600028 0.171568785 0 0.7604287470 0.338145623
## 356 5 13 14 6.2020937 0.170066263 0 0.7458173135 0.334132625
## 357 5 13 14 6.3282577 0.167425095 0 0.7316120160 0.335386901
## 358 5 13 14 6.4207699 0.167614252 0 0.7369856986 0.329506457
## 359 5 13 14 6.2445412 0.171122982 0 0.7373080154 0.331814444
## 360 5 13 14 6.1764149 0.170813404 0 0.7330506030 0.334522147
## 361 5 13 14 6.1927562 0.171145232 0 0.7305804709 0.332688519
## 362 5 13 14 6.3202469 0.169403799 0 0.7253310184 0.330114204
## 363 5 13 14 6.1825108 0.170595384 0 0.7380862194 0.334370845
## 364 5 13 14 6.1593640 0.171120519 0 0.7464651217 0.332103555
## 365 5 13 14 6.1593640 0.171120519 0 0.7464651217 0.332103555
## 366 5 13 14 6.2238373 0.176931444 0 0.7473880105 0.329580833
## 367 5 13 14 6.1399133 0.182014525 0 0.7504500538 0.320761095
## 368 5 13 14 6.0761447 0.182578425 0 0.7512751991 0.323577025
## 369 5 13 14 6.4012924 0.180995134 0 0.7370471429 0.310807519
## 370 5 13 14 6.0223900 0.183568484 0 0.7216690393 0.329947310
## 371 5 13 14 6.2460398 0.182864655 0 0.7224807421 0.314537828
## 372 5 13 14 5.9683286 0.188424939 0 0.7346179390 0.316081830
## 373 5 13 14 6.2962873 0.182431225 0 0.7459752422 0.313342362
## 374 5 13 14 5.8591621 0.186426776 0 0.7766036511 0.320981418
## 375 5 13 14 5.9503535 0.184997253 0 0.7822424153 0.314376465
## 376 5 13 14 5.6795142 0.186258751 0 0.7917141899 0.326733511
## 377 5 13 14 5.7132482 0.184181462 0 0.8151370258 0.323865986
## 378 5 13 14 5.8749219 0.188989126 0 0.8139297069 0.300964486
## 379 5 13 14 5.8842759 0.187035489 0 0.8103250002 0.307166660
## 380 5 13 14 5.9003840 0.187892081 0 0.8112635343 0.303420418
## 381 5 13 14 5.7034520 0.189443828 0 0.8153667118 0.310032670
## 382 5 13 14 5.7725663 0.189711872 0 0.8292905243 0.307512856
## 383 5 13 14 5.6899144 0.189874287 0 0.8457024278 0.310187622
## 384 5 13 14 5.7550153 0.190021486 0 0.8562625039 0.299414165
## 385 5 13 14 5.9461013 0.187573960 0 0.8502863982 0.291994724
## 386 5 13 14 5.6315014 0.194798474 0 0.8622223082 0.295530933
## 387 5 13 14 5.7519347 0.194717459 0 0.8549247155 0.289141910
## 388 5 13 14 5.7014571 0.194478865 0 0.8590383250 0.292571840
## 389 5 13 14 5.6247695 0.197197563 0 0.8548462322 0.292073759
## 390 5 13 14 5.7282996 0.194064942 0 0.8465525286 0.291808549
## 391 5 13 14 5.5391023 0.195603663 0 0.8492690185 0.299559758
## 392 5 13 14 5.5294279 0.194976893 0 0.8537980446 0.303328838
## 393 5 13 14 5.5087133 0.196142589 0 0.8595557357 0.298367456
## 394 5 13 14 5.4316405 0.199345295 0 0.8650750660 0.297718129
## 395 5 13 14 5.2393281 0.200274478 0 0.8691211658 0.306308131
## 396 5 13 14 5.2952685 0.199497482 0 0.8710987176 0.303812850
## 397 5 13 14 5.2354110 0.198459120 0 0.8705622328 0.311325526
## 398 5 13 14 5.2565390 0.194837603 0 0.8682998931 0.318920309
## 399 5 13 14 5.1803863 0.196298596 0 0.8684640543 0.320057640
## 400 5 13 14 5.0791310 0.199229887 0 0.8807258872 0.321652215
## 401 5 13 14 5.0966069 0.198983750 0 0.8856904152 0.320060086
## 402 5 13 14 5.2351011 0.198594206 0 0.8960096741 0.306542016
## 403 5 13 14 5.3680727 0.196860273 0 0.9020072296 0.298310196
## 404 5 13 14 5.5895085 0.192554395 0 0.9109959241 0.291985846
## 405 5 13 14 5.4531337 0.196369525 0 0.9103695489 0.294168560
## 406 5 13 14 5.3863240 0.197163675 0 0.9089923982 0.298546262
## 407 5 13 14 5.5927504 0.195083828 0 0.9079430495 0.286573464
## 408 5 13 14 5.7498336 0.192244883 0 0.9116640555 0.284370144
## 409 5 13 14 5.8180085 0.192348750 0 0.9150416503 0.278012962
## 410 5 13 14 5.9423407 0.191250361 0 0.9128420540 0.271849485
## 411 5 13 14 5.9949929 0.192205209 0 0.9050500368 0.268591754
## 412 5 13 14 6.1398036 0.191430431 0 0.9090547034 0.260099100
## 413 5 13 14 6.2076898 0.190086993 0 0.9118863107 0.258642356
## 414 5 13 14 6.1575031 0.190885776 0 0.9141132558 0.260846252
## 415 5 13 14 6.0779719 0.194256698 0 0.9195948949 0.256429789
## 416 5 13 14 6.0779719 0.194256698 0 0.9195948949 0.256429789
## 417 5 13 14 2.8819403 0.237769719 0 0.8715129946 0.061395638
## 418 5 13 14 2.8819403 0.237769719 0 0.8715129946 0.061395638
## 419 5 13 14 2.5689670 0.258847756 0 0.8513449402 0.050123442
## 420 5 13 14 3.6967839 0.313971237 0 0.8510970813 0.066441862
## 421 5 13 14 5.8903219 0.354896798 0 0.8471415713 0.090206844
## 422 5 13 14 7.3641368 0.451450178 0 0.8632851538 0.113134672
## 423 5 13 14 14.0198433 0.412061471 0 0.8430943131 0.156285082
## 424 5 13 14 17.3179984 0.391145742 0 0.8044788973 0.142400743
## 425 5 13 14 21.5667382 0.371918318 0 0.8688339934 0.109052210
## 426 5 13 14 26.6858498 0.246798635 0 0.8557755928 0.111937326
## 427 5 13 14 33.0502476 0.214148723 0 0.8417617136 0.103796088
## 428 5 13 14 30.8844095 0.172972137 0 0.8266288005 0.105713775
## 429 5 13 14 31.6393258 0.130164069 0 0.8345117563 0.111901282
## 430 5 13 14 39.2118332 0.099194896 0 0.8219230903 0.100658648
## 431 5 13 14 32.6981151 0.101661996 0 0.8511885112 0.106302511
## 432 5 13 14 31.5502411 0.096517148 0 0.8497232897 0.114830202
## 433 5 13 14 30.1976587 0.096194904 0 0.8374941161 0.117233713
## 434 5 13 14 26.9003999 0.089999693 0 0.8789504866 0.126892047
## 435 5 13 14 26.0158574 0.089800922 0 0.8736606270 0.127456871
## 436 5 13 14 27.7096121 0.087215134 0 0.8654304575 0.127545550
## 437 5 13 14 26.4858825 0.090813239 0 0.8616853391 0.127007385
## 438 5 13 14 25.4288065 0.089181864 0 0.8594658186 0.129213429
## 439 5 13 14 27.7531915 0.090091676 0 0.8441114474 0.123506254
## 440 5 13 14 27.4689442 0.089399227 0 0.8412333353 0.124250967
## 441 5 13 14 25.3058353 0.087921951 0 0.8307018789 0.133466348
## 442 5 13 14 26.2440016 0.085690844 0 0.8250470976 0.130431005
## 443 5 13 14 26.2579649 0.085188279 0 0.8119676319 0.133531053
## 444 5 13 14 26.0834257 0.082940992 0 0.7893395607 0.138217035
## 445 5 13 14 26.4787098 0.083608257 0 0.7830712468 0.140147984
## 446 5 13 14 27.2231766 0.085856500 0 0.7762501197 0.132658823
## 447 5 13 14 27.4386017 0.084281632 0 0.7344862490 0.132707349
## 448 5 13 14 29.3279228 0.083042110 0 0.7116464861 0.130974805
## 449 5 13 14 29.0481896 0.087147371 0 0.6911932189 0.128511766
## 450 5 13 14 29.1560034 0.085980286 0 0.7152262999 0.127183760
## 451 5 13 14 28.7670028 0.082876952 0 0.7220376108 0.133871333
## 452 5 13 14 30.8468433 0.083583932 0 0.6886399429 0.127327630
## 453 5 13 14 28.9364625 0.084102364 0 0.7049933252 0.130519533
## 454 5 13 14 29.2395496 0.082537133 0 0.7062283847 0.131730935
## 455 5 13 14 29.4885484 0.082458409 0 0.7053432017 0.131517508
## 456 5 13 14 29.5879410 0.082806577 0 0.6982248042 0.132408483
## 457 5 13 14 29.0338978 0.085100600 0 0.7050179514 0.130978712
## 458 5 13 14 32.4652387 0.082706724 0 0.6954887761 0.125606722
## 459 5 13 14 28.2681188 0.086655426 0 0.7495364297 0.127127643
## 460 5 13 14 29.0634017 0.085201614 0 0.7265587183 0.127179600
## 461 5 13 14 32.2021953 0.081998544 0 0.7325480105 0.124867897
## 462 5 13 14 28.0814392 0.083435449 0 0.7231374186 0.133819711
## 463 5 13 14 27.6620578 0.083067334 0 0.7319975243 0.136048415
## 464 5 13 14 27.7921331 0.087241528 0 0.7268722391 0.128588628
## 465 5 13 14 26.1133561 0.085189898 0 0.7350777803 0.138057199
## 466 5 13 14 27.9259892 0.083652796 0 0.7035352630 0.133709756
## 467 5 13 14 27.9626343 0.083824518 0 0.7031799979 0.135153373
## 468 5 13 14 29.8321973 0.083934293 0 0.6577036083 0.130713395
## 469 5 13 14 29.8321973 0.083934293 0 0.6577036083 0.130713395
## 470 5 13 14 29.0624255 0.083860440 0 0.6589378730 0.131008283
## 471 5 13 14 28.5726901 0.081998595 0 0.6914377912 0.135238248
## 472 5 13 14 31.6444510 0.091047381 0 0.6752562453 0.119946237
## 473 5 13 14 27.7546395 0.090438503 0 0.6995546558 0.124744031
## 474 5 13 14 29.6302325 0.087400752 0 0.6897298382 0.124794897
## 475 5 13 14 29.2011254 0.083205792 0 0.6401576559 0.130403382
## 476 5 13 14 22.7874960 0.090586947 0 0.6959216936 0.145519544
## 477 5 13 14 27.0537547 0.088568919 0 0.6521601532 0.137464655
## 478 5 13 14 28.6653638 0.089809938 0 0.6887638280 0.124180041
## 479 5 13 14 23.9706762 0.087017337 0 0.6751202636 0.141583351
## 480 5 13 14 25.6790663 0.082250351 0 0.6768482049 0.146949431
## 481 5 13 14 27.9497876 0.083942148 0 0.7186076097 0.129350113
## 482 5 13 14 26.0313889 0.087279820 0 0.7286123271 0.129692212
## 483 5 13 14 24.0408177 0.089207660 0 0.7455872295 0.127885628
## 484 5 13 14 23.8265213 0.088197270 0 0.7435317438 0.134704449
## 485 5 13 14 24.4504358 0.083621788 0 0.7377412829 0.136649721
## 486 5 13 14 22.1008853 0.087818802 0 0.7288637878 0.144489632
## 487 5 13 14 22.8833618 0.085953940 0 0.7257336857 0.145653297
## 488 5 13 14 22.0224899 0.085843723 0 0.7334623473 0.147991081
## 489 5 13 14 22.7724229 0.085518227 0 0.6807000273 0.147091076
## 490 5 13 14 25.1370908 0.085503575 0 0.6955015989 0.135224955
## 491 5 13 14 24.4976933 0.089348819 0 0.7402474459 0.134113059
## 492 5 13 14 25.4652961 0.088483044 0 0.7317726565 0.128062140
## 493 5 13 14 24.2687578 0.088631704 0 0.7235234106 0.133799589
## 494 5 13 14 22.3897247 0.092001937 0 0.7502327654 0.134980148
## 495 5 13 14 20.4840793 0.083145594 0 0.7210356067 0.164296707
## 496 5 13 14 20.0721130 0.086104989 0 0.7087354633 0.166460358
## 497 5 13 14 20.9934189 0.087569609 0 0.7077743881 0.151610653
## 498 5 13 14 21.2210999 0.084538606 0 0.7033404968 0.154150681
## 499 5 13 14 21.7536409 0.085881665 0 0.6927064825 0.152189986
## 500 5 13 14 21.0533427 0.087231891 0 0.6731937440 0.151498438
## 501 5 13 14 22.0901082 0.085344626 0 0.6528251336 0.155357515
## 502 5 13 14 23.9922118 0.085898329 0 0.6254360193 0.143045797
## 503 5 13 14 23.3659651 0.084191631 0 0.6086282821 0.151444978
## 504 5 13 14 24.2334947 0.086494465 0 0.5905114959 0.145340577
## 505 5 13 14 24.2628737 0.084987474 0 0.5873976194 0.147687359
## 506 5 13 14 25.5141035 0.083639776 0 0.5829584181 0.143173328
## 507 5 13 14 23.2646154 0.085806828 0 0.5551034915 0.156109133
## 508 5 13 14 24.0424230 0.083068111 0 0.5609738505 0.155890591
## 509 5 13 14 25.9489863 0.080348891 0 0.5450564802 0.150923730
## 510 5 13 14 24.8592410 0.084848808 0 0.5435157303 0.148916303
## 511 5 13 14 24.0766544 0.083849534 0 0.5508220897 0.154280716
## 512 5 13 14 24.2961500 0.084924789 0 0.5290075555 0.155175671
## 513 5 13 14 25.9718867 0.083710747 0 0.4886680778 0.149978169
## 514 5 13 14 25.4216695 0.087014661 0 0.5156547004 0.142996268
## 515 5 13 14 26.4903676 0.086565385 0 0.5392227955 0.137216870
## 516 5 13 14 26.7344467 0.088341189 0 0.5446485407 0.133932061
## 517 5 13 14 26.1574932 0.085811051 0 0.5535019568 0.140029465
## 518 5 13 14 25.9202739 0.086848063 0 0.5646141970 0.138809272
## 519 5 13 14 25.4698247 0.086901211 0 0.5744405901 0.139618356
## 520 5 13 14 25.4698247 0.086901211 0 0.5744405901 0.139618356
## 521 5 13 14 4.8598564 0.777925444 0 0.4699671898 0.073222021
## 522 5 13 14 4.8598564 0.777925444 0 0.4699671898 0.073222021
## 523 5 13 14 8.5014136 0.739034198 0 0.5090572448 0.084789675
## 524 5 13 14 10.6394885 0.730120893 0 0.5636551113 0.074046822
## 525 5 13 14 8.7708891 0.684353812 0 0.4802033335 0.089640694
## 526 5 13 14 8.9406197 0.678686762 0 0.5297925975 0.117421898
## 527 5 13 14 15.8041021 0.706347395 0 0.5513739532 0.184204051
## 528 5 13 14 16.8397777 0.717283932 0 0.5744319168 0.172193397
## 529 5 13 14 19.3200139 0.662785773 0 0.5851410936 0.170648002
## 530 5 13 14 18.2923873 0.520033277 0 0.6254299683 0.188995832
## 531 5 13 14 20.3950640 0.471549601 0 0.6434132794 0.193188633
## 532 5 13 14 20.6354482 0.409827245 0 0.6572265282 0.195729664
## 533 5 13 14 25.2777499 0.316316260 0 0.6185755151 0.187441811
## 534 5 13 14 28.6631415 0.256907712 0 0.6010268329 0.176629750
## 535 5 13 14 31.6216311 0.224276311 0 0.6019109679 0.139382523
## 536 5 13 14 38.6899191 0.211444798 0 0.5759968792 0.127258818
## 537 5 13 14 34.0258583 0.166250238 0 0.6032584715 0.124865492
## 538 5 13 14 34.2207259 0.119121443 0 0.6427849214 0.112101407
## 539 5 13 14 33.7458418 0.107810966 0 0.6402199881 0.120324859
## 540 5 13 14 34.7656611 0.090964978 0 0.6057619428 0.116770041
## 541 5 13 14 37.9563499 0.095617714 0 0.5904495438 0.108806855
## 542 5 13 14 35.6579267 0.096262238 0 0.5778518924 0.112725048
## 543 5 13 14 38.8422888 0.095935746 0 0.5469748626 0.111315915
## 544 5 13 14 35.7527527 0.099807833 0 0.5847744820 0.107222592
## 545 5 13 14 34.2206124 0.097791147 0 0.5430124884 0.113108965
## 546 5 13 14 40.9169029 0.088493482 0 0.4999921976 0.110222616
## 547 5 13 14 44.7209816 0.092484603 0 0.4745043808 0.100862559
## 548 5 13 14 42.1077617 0.088630272 0 0.4963274311 0.108820204
## 549 5 13 14 42.9451841 0.087781191 0 0.4518880417 0.109612337
## 550 5 13 14 43.3148004 0.086495197 0 0.4528833872 0.109531820
## 551 5 13 14 47.2631283 0.082082185 0 0.4101305435 0.110653168
## 552 5 13 14 48.8925178 0.082680518 0 0.3832912099 0.107785324
## 553 5 13 14 50.3394285 0.079825884 0 0.3284132435 0.109880992
## 554 5 13 14 49.3410989 0.079603078 0 0.3048051678 0.114484495
## 555 5 13 14 53.8552212 0.080238240 0 0.2643550757 0.108387868
## 556 5 13 14 60.1942489 0.078331951 0 0.2396926300 0.103089417
## 557 5 13 14 65.8592503 0.079544956 0 0.2242438459 0.099010025
## 558 5 13 14 68.1937870 0.077304293 0 0.1956516098 0.101020106
## 559 5 13 14 76.4590306 0.079177501 0 0.1791254707 0.095710840
## 560 5 13 14 76.7425929 0.078023768 0 0.1635135549 0.097160099
## 561 5 13 14 85.7625321 0.081393321 0 0.1508142436 0.090383183
## 562 5 13 14 85.9462539 0.078283810 0 0.1405270464 0.093429067
## 563 5 13 14 85.5046264 0.077715115 0 0.1361433172 0.094061082
## 564 5 13 14 91.4239137 0.078245589 0 0.1254404854 0.093412617
## 565 5 13 14 95.8382184 0.076770519 0 0.1129358961 0.092004178
## 566 5 13 14 103.4706931 0.076311867 0 0.0890258524 0.093568920
## 567 5 13 14 103.7566230 0.073982326 0 0.0794333593 0.093124997
## 568 5 13 14 104.2907888 0.071259752 0 0.0749581339 0.092031188
## 569 5 13 14 102.4902210 0.070691411 0 0.0750977421 0.093679751
## 570 5 13 14 105.1613326 0.068576658 0 0.0743287891 0.094104642
## 571 5 13 14 109.5651069 0.072303939 0 0.0720657821 0.088371657
## 572 5 13 14 108.2077661 0.069454416 0 0.0689039667 0.091166650
## 573 5 13 14 108.2077661 0.069454416 0 0.0689039667 0.091166650
## 574 5 13 14 103.9756755 0.069514666 0 0.0673919877 0.091478530
## 575 5 13 14 100.0009489 0.074301322 0 0.0657071377 0.092255796
## 576 5 13 14 107.0137670 0.079457227 0 0.0628436209 0.084399617
## 577 5 13 14 118.6818464 0.081954423 0 0.0719334445 0.082052459
## 578 5 13 14 127.6743497 0.082361444 0 0.0550958137 0.080415179
## 579 5 13 14 125.2259077 0.077432962 0 0.0422252223 0.083039885
## 580 5 13 14 146.6747958 0.073555293 0 0.0353377391 0.078272882
## 581 5 13 14 139.0655471 0.080600809 0 0.0341602821 0.079851916
## 582 5 13 14 129.5526679 0.070356470 0 0.0310234856 0.086235291
## 583 5 13 14 148.8878578 0.072363058 0 0.0314742919 0.081433483
## 584 5 13 14 162.6124198 0.080619724 0 0.0234489890 0.076916368
## 585 5 13 14 169.1200099 0.080112867 0 0.0236775167 0.074161763
## 586 5 13 14 159.6498409 0.078197165 0 0.0232067373 0.077455208
## 587 5 13 14 159.3257086 0.079729563 0 0.0208807101 0.074583866
## 588 5 13 14 166.1399391 0.076033681 0 0.0186872415 0.077383830
## 589 5 13 14 165.4149905 0.079274483 0 0.0170282199 0.075427686
## 590 5 13 14 154.1702951 0.076660533 0 0.0148886962 0.078373936
## 591 5 13 14 160.6214392 0.078576252 0 0.0129297477 0.074500514
## 592 5 13 14 180.6623324 0.073362736 0 0.0116689705 0.074124343
## 593 5 13 14 204.8362295 0.078527146 0 0.0114213939 0.070199099
## 594 5 13 14 196.5120245 0.075053781 0 0.0091513345 0.071085130
## 595 5 13 14 202.4390800 0.079865712 0 0.0091904534 0.070633108
## 596 5 13 14 192.7017205 0.076237218 0 0.0108611413 0.073777278
## 597 5 13 14 183.4292996 0.081572474 0 0.0139699738 0.073272863
## 598 5 13 14 191.5896255 0.081908268 0 0.0137614965 0.071457005
## 599 5 13 14 207.8200938 0.081361549 0 0.0128460760 0.071408206
## 600 5 13 14 193.6763551 0.085128247 0 0.0152658468 0.071351989
## 601 5 13 14 192.3973361 0.083416404 0 0.0134767319 0.072021730
## 602 5 13 14 195.9837925 0.081040997 0 0.0144323588 0.073047640
## 603 5 13 14 200.1540744 0.081379986 0 0.0108248552 0.072211433
## 604 5 13 14 188.6221448 0.079454706 0 0.0137045259 0.073851066
## 605 5 13 14 184.5815456 0.079084417 0 0.0143882347 0.073499585
## 606 5 13 14 183.9813454 0.078722454 0 0.0154697706 0.073830105
## 607 5 13 14 186.7514570 0.083644212 0 0.0141550189 0.071380584
## 608 5 13 14 187.1003902 0.078196920 0 0.0133964601 0.073418288
## 609 5 13 14 188.2249397 0.078213600 0 0.0129995610 0.073765063
## 610 5 13 14 199.2926873 0.080471343 0 0.0134015251 0.071580133
## 611 5 13 14 196.9887864 0.080433427 0 0.0128834797 0.070673886
## 612 5 13 14 191.9436727 0.080205655 0 0.0117289332 0.072557572
## 613 5 13 14 188.4808072 0.080654883 0 0.0127360017 0.070690593
## 614 5 13 14 194.4505803 0.080463518 0 0.0127382241 0.073562920
## 615 5 13 14 188.6377885 0.081897870 0 0.0132773690 0.073171313
## 616 5 13 14 184.7171307 0.081080362 0 0.0131113180 0.073534296
## 617 5 13 14 196.5528322 0.078541622 0 0.0135016316 0.072676298
## 618 5 13 14 200.6050294 0.081464379 0 0.0138692447 0.070059039
## 619 5 13 14 193.7317982 0.082710448 0 0.0127088215 0.070991186
## 620 5 13 14 194.9997894 0.081161345 0 0.0126209854 0.072855092
## 621 5 13 14 192.2235742 0.077917130 0 0.0119100825 0.072981012
## 622 5 13 14 194.0244332 0.079105509 0 0.0115640899 0.072371483
## 623 5 13 14 199.4221161 0.077442974 0 0.0116836369 0.072274840
## 624 5 13 14 199.4221161 0.077442974 0 0.0116836369 0.072274840
## 625 5 13 14 7.8527085 0.800867742 0 0.0387430409 0.229278154
## 626 5 13 14 7.8527085 0.800867742 0 0.0387430409 0.229278154
## 627 5 13 14 6.7229494 0.798618525 0 0.0397804663 0.262632376
## 628 5 13 14 8.7047468 0.839191327 0 0.0345812317 0.327835970
## 629 5 13 14 15.2508139 0.832666414 0 0.0407655851 0.390386817
## 630 5 13 14 17.8948811 0.823013596 0 0.0394913163 0.355960575
## 631 5 13 14 21.1823039 0.814764685 0 0.0399430971 0.375182788
## 632 5 13 14 22.4199537 0.778165292 0 0.0424599433 0.365492886
## 633 5 13 14 24.0872237 0.779945362 0 0.0429191162 0.321775880
## 634 5 13 14 26.7084038 0.727473164 0 0.0572935222 0.287086698
## 635 5 13 14 30.5585063 0.667465823 0 0.0666510972 0.280170813
## 636 5 13 14 27.5817006 0.665683706 0 0.0765281354 0.276328753
## 637 5 13 14 25.5858428 0.616830588 0 0.0656641566 0.288513497
## 638 5 13 14 29.9645720 0.611438083 0 0.0621233422 0.273261966
## 639 5 13 14 34.6755925 0.542424213 0 0.0672588546 0.224012019
## 640 5 13 14 39.5952410 0.523460223 0 0.0723654403 0.204067557
## 641 5 13 14 37.9633049 0.512154449 0 0.0727201323 0.218237042
## 642 5 13 14 41.2712093 0.503933708 0 0.0846962877 0.219779143
## 643 5 13 14 43.5480953 0.423340453 0 0.0856445945 0.212471340
## 644 5 13 14 46.1202498 0.384616591 0 0.0890279743 0.220279722
## 645 5 13 14 46.2022281 0.365596552 0 0.0991028726 0.218394872
## 646 5 13 14 60.2014581 0.273924408 0 0.0832038182 0.201396572
## 647 5 13 14 65.6325634 0.234727663 0 0.0838316339 0.185859648
## 648 5 13 14 72.5558519 0.190636073 0 0.0837386784 0.170812783
## 649 5 13 14 85.1920131 0.171080816 0 0.0785306302 0.142097769
## 650 5 13 14 98.9041021 0.159091303 0 0.0708562329 0.129121742
## 651 5 13 14 108.3446135 0.141603061 0 0.0678875165 0.121122674
## 652 5 13 14 117.5187194 0.129588402 0 0.0689048400 0.113388128
## 653 5 13 14 108.5407575 0.115019076 0 0.0740126251 0.103982560
## 654 5 13 14 119.4365058 0.089515453 0 0.0734558074 0.104377353
## 655 5 13 14 121.4521209 0.084338732 0 0.0730609534 0.098973386
## 656 5 13 14 125.8111950 0.077928070 0 0.0733787295 0.097284799
## 657 5 13 14 120.5250810 0.066528483 0 0.0662159259 0.095113138
## 658 5 13 14 118.9641598 0.058801873 0 0.0646308902 0.105183487
## 659 5 13 14 122.2778812 0.057315473 0 0.0616254658 0.103690962
## 660 5 13 14 126.6602598 0.057755922 0 0.0552081687 0.101898465
## 661 5 13 14 123.6154551 0.065266745 0 0.0580383016 0.093141401
## 662 5 13 14 126.0361000 0.054945876 0 0.0503829762 0.104924824
## 663 5 13 14 116.6009429 0.055961180 0 0.0414924231 0.105988738
## 664 5 13 14 108.8655659 0.055246794 0 0.0416700072 0.106914443
## 665 5 13 14 119.0403339 0.053953729 0 0.0388527456 0.105527243
## 666 5 13 14 116.3664399 0.053774387 0 0.0413049961 0.104511117
## 667 5 13 14 118.5603072 0.055357453 0 0.0343944779 0.103722612
## 668 5 13 14 117.2622565 0.056175760 0 0.0356498406 0.102059924
## 669 5 13 14 122.1255734 0.055730804 0 0.0393544155 0.102154093
## 670 5 13 14 116.6456673 0.051736262 0 0.0401587102 0.109890416
## 671 5 13 14 128.5054102 0.054294318 0 0.0383620297 0.102718820
## 672 5 13 14 130.9105910 0.055082579 0 0.0357234603 0.099934587
## 673 5 13 14 123.9868695 0.056453199 0 0.0354777792 0.099408602
## 674 5 13 14 128.2538065 0.054663219 0 0.0348275420 0.099746000
## 675 5 13 14 121.2583812 0.052706604 0 0.0325438682 0.107019973
## 676 5 13 14 136.2884139 0.055389173 0 0.0282842274 0.100471097
## 677 5 13 14 136.2884139 0.055389173 0 0.0282842274 0.100471097
## 678 5 13 14 129.9410659 0.057312782 0 0.0285030743 0.095537253
## 679 5 13 14 120.2698465 0.057473905 0 0.0260026246 0.099308008
## 680 5 13 14 118.3238250 0.055807277 0 0.0272983841 0.101980441
## 681 5 13 14 153.7967096 0.057694532 0 0.0223567068 0.090485823
## 682 5 13 14 142.3436962 0.060756362 0 0.0227473661 0.093182578
## 683 5 13 14 137.5381619 0.061266012 0 0.0189473841 0.094457160
## 684 5 13 14 123.5647076 0.057475621 0 0.0189450385 0.100155943
## 685 5 13 14 135.1859219 0.063728248 0 0.0159046446 0.088410452
## 686 5 13 14 145.0365293 0.051890575 0 0.0166806442 0.096299345
## 687 5 13 14 151.9312850 0.056850026 0 0.0156297539 0.095299964
## 688 5 13 14 139.1429852 0.060181858 0 0.0156058284 0.092897298
## 689 5 13 14 168.4154649 0.065994292 0 0.0137560349 0.084739743
## 690 5 13 14 160.7068243 0.069038795 0 0.0157364295 0.083489481
## 691 5 13 14 147.3401124 0.067810867 0 0.0224998603 0.081649771
## 692 5 13 14 200.8218152 0.067258789 0 0.0165812772 0.079945286
## 693 5 13 14 188.9944730 0.065829694 0 0.0133840726 0.084123496
## 694 5 13 14 172.7308288 0.068607988 0 0.0127651378 0.084104134
## 695 5 13 14 201.8395341 0.067566157 0 0.0132890624 0.077986317
## 696 5 13 14 188.2423349 0.068373322 0 0.0135699098 0.084025554
## 697 5 13 14 178.9128322 0.068402836 0 0.0151062512 0.083150131
## 698 5 13 14 179.3082962 0.070169435 0 0.0133814653 0.081295101
## 699 5 13 14 180.0361479 0.064623648 0 0.0131684375 0.082469947
## 700 5 13 14 175.1999534 0.061549942 0 0.0101774772 0.084277152
## 701 5 13 14 179.0882232 0.064967131 0 0.0109174978 0.082550282
## 702 5 13 14 179.2699688 0.061844288 0 0.0103780095 0.084108772
## 703 5 13 14 174.6420141 0.065409513 0 0.0100453517 0.083054298
## 704 5 13 14 197.3248892 0.062590666 0 0.0108831483 0.082219593
## 705 5 13 14 196.7433121 0.063146568 0 0.0111763091 0.080497648
## 706 5 13 14 189.1238708 0.066526570 0 0.0102014952 0.080284542
## 707 5 13 14 201.4798989 0.069137474 0 0.0104949018 0.076561947
## 708 5 13 14 208.9009418 0.070064360 0 0.0086561966 0.076292903
## 709 5 13 14 215.3909449 0.072245674 0 0.0080137986 0.071191955
## 710 5 13 14 200.4793565 0.067042835 0 0.0078412919 0.077380968
## 711 5 13 14 200.0201280 0.064885638 0 0.0069523344 0.079430934
## 712 5 13 14 212.3083014 0.068343489 0 0.0069419517 0.076620526
## 713 5 13 14 207.5368562 0.066516154 0 0.0079612945 0.078286676
## 714 5 13 14 207.5613392 0.069304638 0 0.0063775553 0.077613951
## 715 5 13 14 203.0473593 0.068856992 0 0.0052568947 0.079146840
## 716 5 13 14 205.4865853 0.068692572 0 0.0053795398 0.077907515
## 717 5 13 14 208.2742119 0.068903631 0 0.0051598950 0.076076971
## 718 5 13 14 207.4262476 0.070177862 0 0.0065138619 0.078062115
## 719 5 13 14 220.4783806 0.070572093 0 0.0058954122 0.073821343
## 720 5 13 14 207.0271286 0.073351975 0 0.0061255799 0.076761221
## 721 5 13 14 215.1628880 0.074945024 0 0.0052402232 0.075438817
## 722 5 13 14 214.9453081 0.080375887 0 0.0048084888 0.075995345
## 723 5 13 14 224.4175938 0.076849971 0 0.0052155491 0.072779843
## 724 5 13 14 221.2386398 0.075958083 0 0.0053802827 0.074013200
## 725 5 13 14 226.3716823 0.075620064 0 0.0053753753 0.073839533
## 726 5 13 14 219.0077563 0.074953443 0 0.0054932354 0.076954023
## 727 5 13 14 211.3489645 0.076586722 0 0.0053100682 0.077227722
## 728 5 13 14 211.3489645 0.076586722 0 0.0053100682 0.077227722
## 729 5 13 14 7.0870478 0.454433515 0 0.1633471014 0.275700995
## 730 5 13 14 7.0870478 0.454433515 0 0.1633471014 0.275700995
## 731 5 13 14 7.2945340 0.430609809 0 0.1462050116 0.309645244
## 732 5 13 14 6.6033558 0.382894085 0 0.1882847608 0.341164645
## 733 5 13 14 5.7306383 0.382284252 0 0.2155354132 0.356238972
## 734 5 13 14 4.8769510 0.253199290 0 0.1120500770 0.531939201
## 735 5 13 14 4.8619975 0.176819199 0 0.0887012804 0.598123823
## 736 5 13 14 6.1970918 0.129449340 0 0.0794419222 0.613635595
## 737 5 13 14 6.8990646 0.107918196 0 0.0828475167 0.650225889
## 738 5 13 14 7.6371860 0.097287820 0 0.0736046772 0.648868272
## 739 5 13 14 7.4333635 0.096715268 0 0.0757481440 0.667942636
## 740 5 13 14 7.5288173 0.097385957 0 0.0718622641 0.663133892
## 741 5 13 14 7.3334388 0.095014322 0 0.0866082312 0.686884379
## 742 5 13 14 6.9422358 0.097906106 0 0.0854160345 0.709746011
## 743 5 13 14 6.4494803 0.100206353 0 0.0853877723 0.736388046
## 744 5 13 14 6.6445679 0.099615516 0 0.0845293718 0.722065701
## 745 5 13 14 6.2574659 0.104048201 0 0.0932374146 0.731275823
## 746 5 13 14 6.1981234 0.103597572 0 0.0898169180 0.741555242
## 747 5 13 14 5.9844612 0.105100902 0 0.0926882362 0.748315128
## 748 5 13 14 5.8858366 0.105338677 0 0.0964935628 0.751026655
## 749 5 13 14 5.8039517 0.105301600 0 0.0814905208 0.760122587
## 750 5 13 14 5.7232041 0.104947513 0 0.0824993446 0.768551092
## 751 5 13 14 5.3213897 0.111011814 0 0.0915077345 0.776992631
## 752 5 13 14 5.5141670 0.106951973 0 0.1013234792 0.777259837
## 753 5 13 14 5.7842918 0.102048574 0 0.1039767641 0.773720646
## 754 5 13 14 5.5827424 0.107039502 0 0.0976033412 0.766388691
## 755 5 13 14 6.0520285 0.102472498 0 0.0900659229 0.740843609
## 756 5 13 14 6.1044148 0.101885435 0 0.0760156851 0.745070722
## 757 5 13 14 6.1165288 0.101506980 0 0.0732464069 0.744868302
## 758 5 13 14 5.7877359 0.104223937 0 0.0748884915 0.761951775
## 759 5 13 14 5.3365443 0.108903847 0 0.0704690575 0.800843731
## 760 5 13 14 5.2967749 0.108028757 0 0.0712289013 0.809941218
## 761 5 13 14 5.2973535 0.107783385 0 0.0741913461 0.805969770
## 762 5 13 14 5.2302037 0.107596311 0 0.0750812716 0.823903457
## 763 5 13 14 5.2815871 0.106382224 0 0.0735192351 0.813046726
## 764 5 13 14 5.0667554 0.108893182 0 0.0828874257 0.836002516
## 765 5 13 14 4.8979245 0.111774171 0 0.0826867082 0.841129364
## 766 5 13 14 5.0608103 0.108916565 0 0.0835664847 0.826758845
## 767 5 13 14 5.0026706 0.109925118 0 0.0768205113 0.827165545
## 768 5 13 14 5.1163650 0.108315026 0 0.0763793830 0.819012069
## 769 5 13 14 5.0777994 0.108803031 0 0.0805348796 0.823892742
## 770 5 13 14 5.0974302 0.108302660 0 0.0837738504 0.825944883
## 771 5 13 14 4.8547532 0.111602984 0 0.0798276284 0.839688181
## 772 5 13 14 5.0308761 0.109028405 0 0.0743575383 0.831761745
## 773 5 13 14 4.7434021 0.111847649 0 0.0636974664 0.854692012
## 774 5 13 14 4.7480192 0.110811760 0 0.0552583631 0.858436741
## 775 5 13 14 4.5643519 0.111485083 0 0.0658455068 0.886052921
## 776 5 13 14 4.5587337 0.111278124 0 0.0614115872 0.887096874
## 777 5 13 14 4.5452540 0.111787223 0 0.0651818205 0.889351931
## 778 5 13 14 4.5901664 0.112054978 0 0.0571202479 0.883247981
## 779 5 13 14 4.5064584 0.113589348 0 0.0540942790 0.889386001
## 780 5 13 14 4.5960377 0.110578976 0 0.0612929688 0.891742463
## 781 5 13 14 4.5960377 0.110578976 0 0.0612929688 0.891742463
## 782 5 13 14 4.5719399 0.114034642 0 0.0622961785 0.891086109
## 783 5 13 14 4.3741722 0.118048178 0 0.0636697415 0.894671039
## 784 5 13 14 4.3963399 0.117893446 0 0.0632936573 0.896511277
## 785 5 13 14 4.4345449 0.117426624 0 0.0732845730 0.900299001
## 786 5 13 14 4.3537166 0.118995583 0 0.0634890396 0.896538395
## 787 5 13 14 3.9163397 0.128170525 0 0.0510069157 0.929189408
## 788 5 13 14 3.8535885 0.128809615 0 0.0518148852 0.932052674
## 789 5 13 14 4.1762716 0.118767822 0 0.0477124959 0.931153837
## 790 5 13 14 4.1298668 0.119409787 0 0.0501562484 0.926627013
## 791 5 13 14 4.1546733 0.119037318 0 0.0500416906 0.926624926
## 792 5 13 14 3.9775624 0.120307055 0 0.0543358767 0.939510101
## 793 5 13 14 4.0593102 0.116076209 0 0.0591822192 0.946406463
## 794 5 13 14 4.1058600 0.115955158 0 0.0521213820 0.944620652
## 795 5 13 14 4.0305637 0.117818950 0 0.0492561358 0.941640657
## 796 5 13 14 3.9909632 0.118666119 0 0.0419491839 0.938785212
## 797 5 13 14 4.0191453 0.117649416 0 0.0463444372 0.939021289
## 798 5 13 14 4.2073089 0.112185873 0 0.0436476136 0.942439865
## 799 5 13 14 4.1625935 0.115538692 0 0.0411335561 0.939852602
## 800 5 13 14 3.9458625 0.121781251 0 0.0510191572 0.939856871
## 801 5 13 14 4.0636496 0.118437561 0 0.0459729310 0.939214878
## 802 5 13 14 4.1996881 0.113893091 0 0.0416724200 0.942754807
## 803 5 13 14 4.2156916 0.113791592 0 0.0455736187 0.941025068
## 804 5 13 14 4.1974655 0.113732793 0 0.0486906709 0.939963856
## 805 5 13 14 4.2923505 0.111108735 0 0.0464713713 0.942342252
## 806 5 13 14 4.3534511 0.110854866 0 0.0460295452 0.936567534
## 807 5 13 14 4.1837964 0.113676146 0 0.0470164829 0.936471691
## 808 5 13 14 4.1334777 0.114709833 0 0.0469343787 0.936311115
## 809 5 13 14 4.2489238 0.111512547 0 0.0480822403 0.933793294
## 810 5 13 14 4.2026959 0.113889307 0 0.0486967149 0.929178022
## 811 5 13 14 4.2244509 0.112752656 0 0.0478501325 0.933416307
## 812 5 13 14 4.2770785 0.112539436 0 0.0489517362 0.925528631
## 813 5 13 14 4.2165519 0.113749470 0 0.0463343936 0.921268177
## 814 5 13 14 4.3140848 0.112487171 0 0.0388609426 0.920796762
## 815 5 13 14 4.3888991 0.110078881 0 0.0387635069 0.916510385
## 816 5 13 14 4.3256673 0.110498085 0 0.0377843390 0.918552455
## 817 5 13 14 4.3745109 0.110288059 0 0.0352385683 0.915071247
## 818 5 13 14 4.3797537 0.109632937 0 0.0317896773 0.916621874
## 819 5 13 14 4.4694743 0.109153035 0 0.0342626604 0.905663335
## 820 5 13 14 4.5380438 0.108141803 0 0.0272188982 0.905262371
## 821 5 13 14 4.4037878 0.109678603 0 0.0269097799 0.913059961
## 822 5 13 14 4.3920447 0.109644440 0 0.0300075850 0.916754881
## 823 5 13 14 4.4044586 0.110930113 0 0.0276263684 0.908274014
## 824 5 13 14 4.4306294 0.110751047 0 0.0319025360 0.907942746
## 825 5 13 14 4.5015874 0.110013359 0 0.0277287361 0.899069658
## 826 5 13 14 4.5075532 0.108364593 0 0.0272286706 0.904074939
## 827 5 13 14 4.6103241 0.107121120 0 0.0282890244 0.896853280
## 828 5 13 14 4.7018137 0.106112232 0 0.0334735970 0.886014013
## 829 5 13 14 4.6373621 0.106085813 0 0.0309392431 0.894187732
## 830 5 13 14 4.5286928 0.107884013 0 0.0331634796 0.895106601
## 831 5 13 14 4.5148288 0.108494085 0 0.0343019945 0.891497311
## 832 5 13 14 4.5148288 0.108494085 0 0.0343019945 0.891497311
## 833 5 13 14 4.4990289 0.872822190 0 0.0183964823 0.175984492
## 834 5 13 14 4.4990289 0.872822190 0 0.0183964823 0.175984492
## 835 5 13 14 5.7778698 0.858013714 0 0.0194598953 0.227065795
## 836 5 13 14 7.4131445 0.851795765 0 0.0253873579 0.271283505
## 837 5 13 14 13.4445796 0.881047457 0 0.0294020172 0.428882887
## 838 5 13 14 17.6449340 0.866271436 0 0.0357801751 0.495932943
## 839 5 13 14 19.0878309 0.879580506 0 0.0362603422 0.558064148
## 840 5 13 14 20.0426640 0.877207851 0 0.0345522689 0.606687549
## 841 5 13 14 21.5773372 0.877616666 0 0.0382298070 0.629256097
## 842 5 13 14 18.6686377 0.866102638 0 0.0408992662 0.680547287
## 843 5 13 14 17.9874306 0.851512983 0 0.0479110770 0.693176393
## 844 5 13 14 18.2930751 0.846571250 0 0.0489153920 0.740054282
## 845 5 13 14 16.2647286 0.845235875 0 0.0422484699 0.750111311
## 846 5 13 14 15.8347987 0.848859817 0 0.0419678838 0.764321484
## 847 5 13 14 15.1313275 0.838000522 0 0.0456864943 0.785551038
## 848 5 13 14 14.3912204 0.847508150 0 0.0415880088 0.796525352
## 849 5 13 14 13.4217550 0.837383752 0 0.0409350960 0.801834377
## 850 5 13 14 13.5932185 0.833006236 0 0.0368963560 0.808598308
## 851 5 13 14 11.6373788 0.847008243 0 0.0365369100 0.826694218
## 852 5 13 14 11.8355730 0.837385108 0 0.0387896397 0.835993964
## 853 5 13 14 12.4314795 0.840521060 0 0.0433413017 0.836971261
## 854 5 13 14 11.6080815 0.858039952 0 0.0317667124 0.847130756
## 855 5 13 14 12.6603171 0.843759818 0 0.0386459703 0.830490751
## 856 5 13 14 11.9314790 0.842802665 0 0.0378447594 0.846077255
## 857 5 13 14 11.5773095 0.818561313 0 0.0400470680 0.855812676
## 858 5 13 14 11.7279310 0.851081251 0 0.0342618370 0.861745025
## 859 5 13 14 11.6867131 0.838473885 0 0.0350175633 0.874070960
## 860 5 13 14 11.3461051 0.851696610 0 0.0320610618 0.871484366
## 861 5 13 14 12.5332447 0.856901908 0 0.0271537464 0.868188642
## 862 5 13 14 12.1844680 0.850627808 0 0.0267372123 0.874035261
## 863 5 13 14 11.2662905 0.846805931 0 0.0289829977 0.871361183
## 864 5 13 14 11.7392542 0.859852466 0 0.0306055596 0.869469981
## 865 5 13 14 11.2482314 0.855209942 0 0.0314093122 0.880595469
## 866 5 13 14 10.6815025 0.868546763 0 0.0297385558 0.885213516
## 867 5 13 14 11.2338972 0.832066710 0 0.0337618423 0.873975131
## 868 5 13 14 11.9510376 0.854118551 0 0.0318193642 0.878672280
## 869 5 13 14 11.3264938 0.813269307 0 0.0365678918 0.869591172
## 870 5 13 14 6.8601211 0.478952875 0 0.0336231913 0.923120292
## 871 5 13 14 4.3684349 0.270001598 0 0.0330831494 0.936684561
## 872 5 13 14 4.4573692 0.229721804 0 0.0307298688 0.942340816
## 873 5 13 14 4.4111329 0.192248370 0 0.0345870061 0.935675373
## 874 5 13 14 4.8127348 0.168511296 0 0.0373239723 0.930115882
## 875 5 13 14 5.4609902 0.136028833 0 0.0351862060 0.928579486
## 876 5 13 14 6.9100037 0.108742435 0 0.0358441883 0.919116979
## 877 5 13 14 6.5209548 0.101211461 0 0.0367381455 0.922964092
## 878 5 13 14 6.3606037 0.095497812 0 0.0373238817 0.924305877
## 879 5 13 14 8.5192959 0.069663419 0 0.0284513105 0.910999756
## 880 5 13 14 9.1459166 0.065373477 0 0.0279512721 0.908291334
## 881 5 13 14 9.0946238 0.065012523 0 0.0274041438 0.909356584
## 882 5 13 14 9.1556554 0.064651912 0 0.0279055999 0.907892844
## 883 5 13 14 9.1077591 0.064369671 0 0.0277032372 0.907824689
## 884 5 13 14 9.3197715 0.063279872 0 0.0277179232 0.903863442
## 885 5 13 14 9.3197715 0.063279872 0 0.0277179232 0.903863442
## 886 5 13 14 9.1297623 0.064764323 0 0.0278433186 0.903982151
## 887 5 13 14 8.9475909 0.065911052 0 0.0263653778 0.904504737
## 888 5 13 14 8.5030076 0.068591433 0 0.0283384360 0.904882747
## 889 5 13 14 8.5927111 0.067062143 0 0.0276294932 0.902816648
## 890 5 13 14 8.8843159 0.065957951 0 0.0278586807 0.885498640
## 891 5 13 14 8.7471718 0.065743513 0 0.0256184770 0.894860070
## 892 5 13 14 9.1131060 0.066520976 0 0.0207374942 0.878561265
## 893 5 13 14 9.3518471 0.063651540 0 0.0197413231 0.896524652
## 894 5 13 14 8.7667090 0.066781854 0 0.0167095246 0.886293753
## 895 5 13 14 8.6282902 0.065941173 0 0.0152774574 0.893557591
## 896 5 13 14 8.9138832 0.065255521 0 0.0145545750 0.874478654
## 897 5 13 14 9.8157004 0.061217451 0 0.0155657163 0.853571725
## 898 5 13 14 9.6381086 0.060799514 0 0.0178005695 0.850200372
## 899 5 13 14 9.2754686 0.062262962 0 0.0197189722 0.852430597
## 900 5 13 14 9.2290268 0.062175944 0 0.0194014789 0.860726990
## 901 5 13 14 9.1018611 0.063671891 0 0.0221254878 0.852356990
## 902 5 13 14 9.1207146 0.062711978 0 0.0226900636 0.863588004
## 903 5 13 14 8.9854260 0.063378956 0 0.0218992946 0.869914652
## 904 5 13 14 8.5880488 0.065928523 0 0.0239944852 0.881251763
## 905 5 13 14 8.6417109 0.065405938 0 0.0247029778 0.876064225
## 906 5 13 14 9.0734033 0.064258069 0 0.0318546917 0.873696148
## 907 5 13 14 9.1970229 0.062832421 0 0.0307234253 0.873657106
## 908 5 13 14 9.2200461 0.062804635 0 0.0331765784 0.877010691
## 909 5 13 14 9.2381224 0.062289980 0 0.0318127977 0.881918057
## 910 5 13 14 8.9901070 0.065334975 0 0.0326359383 0.876298382
## 911 5 13 14 9.3458934 0.062998519 0 0.0336697023 0.870451309
## 912 5 13 14 9.3622156 0.062853039 0 0.0321985912 0.870909006
## 913 5 13 14 9.2708645 0.063508459 0 0.0317708003 0.872894593
## 914 5 13 14 9.2000173 0.063861788 0 0.0352581319 0.866780946
## 915 5 13 14 9.4723681 0.062040619 0 0.0338889274 0.865769174
## 916 5 13 14 9.4784533 0.062403121 0 0.0337929331 0.870172620
## 917 5 13 14 9.3918033 0.062609153 0 0.0335841826 0.870607604
## 918 5 13 14 9.5268018 0.062308175 0 0.0315324296 0.863389041
## 919 5 13 14 9.7725065 0.060671345 0 0.0341445978 0.858816941
## 920 5 13 14 9.9001860 0.059962065 0 0.0349608647 0.853419634
## 921 5 13 14 9.6803053 0.061330190 0 0.0350266097 0.848718970
## 922 5 13 14 9.7134994 0.060976235 0 0.0353650361 0.858958353
## 923 5 13 14 9.8134116 0.061223937 0 0.0300422636 0.857780093
## 924 5 13 14 9.6019096 0.061742962 0 0.0313306526 0.855169230
## 925 5 13 14 9.6148305 0.062078000 0 0.0316649554 0.853977975
## 926 5 13 14 9.4982645 0.062172046 0 0.0296059341 0.856577066
## 927 5 13 14 9.1967826 0.062110399 0 0.0293630435 0.861010442
## 928 5 13 14 9.3317694 0.062531295 0 0.0349958070 0.840527506
## 929 5 13 14 9.3693705 0.062730018 0 0.0362644216 0.827109700
## 930 5 13 14 9.3820156 0.062309421 0 0.0348810532 0.831293066
## 931 5 13 14 9.3793992 0.063094260 0 0.0364261141 0.824944369
## 932 5 13 14 9.4549629 0.062976417 0 0.0395616090 0.817632897
## 933 5 13 14 9.6442745 0.062300343 0 0.0426823284 0.809526309
## 934 5 13 14 9.5334098 0.062600390 0 0.0439616193 0.818691961
## 935 5 13 14 9.5335862 0.062496304 0 0.0434892275 0.827654732
## 936 5 13 14 9.5335862 0.062496304 0 0.0434892275 0.827654732
## 937 5 13 14 6.7548395 0.826334897 0 0.2967318419 0.019915375
## 938 5 13 14 6.7548395 0.826334897 0 0.2967318419 0.019915375
## 939 5 13 14 6.7502887 0.817984506 0 0.2780690510 0.019937864
## 940 5 13 14 5.0845779 0.818447932 0 0.2746748548 0.025400558
## 941 5 13 14 4.8166785 0.832826941 0 0.3208373095 0.048156608
## 942 5 13 14 4.4710324 0.853514347 0 0.3707539111 0.049607418
## 943 5 13 14 7.8694914 0.876594870 0 0.3838436351 0.079649126
## 944 5 13 14 9.4316480 0.897722433 0 0.4587320123 0.105126105
## 945 5 13 14 11.9887519 0.866577394 0 0.4968474242 0.119736266
## 946 5 13 14 19.6463629 0.866482301 0 0.5047114873 0.112952502
## 947 5 13 14 20.2969644 0.817834907 0 0.6010138493 0.086644401
## 948 5 13 14 21.2777191 0.782208047 0 0.6212148608 0.106528159
## 949 5 13 14 17.7002294 0.739389483 0 0.6058908231 0.108405784
## 950 5 13 14 22.6811669 0.680890821 0 0.4945844921 0.112150015
## 951 5 13 14 26.8126821 0.675816777 0 0.5031837174 0.116596798
## 952 5 13 14 26.4592441 0.619926955 0 0.5386799677 0.120316263
## 953 5 13 14 24.6076761 0.592379337 0 0.5373226929 0.130099878
## 954 5 13 14 25.3923823 0.559033066 0 0.5288933913 0.133452343
## 955 5 13 14 29.3023904 0.511066714 0 0.4837112822 0.127860639
## 956 5 13 14 29.5002465 0.418525641 0 0.5145728933 0.121660425
## 957 5 13 14 32.0228261 0.388110405 0 0.5160316671 0.122787049
## 958 5 13 14 33.5523676 0.340177262 0 0.4753927357 0.115825070
## 959 5 13 14 36.4578379 0.299366694 0 0.4675454521 0.110322499
## 960 5 13 14 41.8525516 0.265265006 0 0.4456453875 0.105083232
## 961 5 13 14 41.7101225 0.237458547 0 0.4115978878 0.102734497
## 962 5 13 14 43.0067605 0.212357256 0 0.4068205886 0.094849862
## 963 5 13 14 51.2330567 0.179122743 0 0.3280855259 0.091023937
## 964 5 13 14 46.5751961 0.166428365 0 0.3594883567 0.083969438
## 965 5 13 14 52.5071104 0.139740511 0 0.3424814083 0.083148397
## 966 5 13 14 56.6016350 0.127454175 0 0.3222604224 0.084270470
## 967 5 13 14 57.4213645 0.122801530 0 0.3060806843 0.086387911
## 968 5 13 14 59.0519509 0.123746986 0 0.3038861912 0.083939265
## 969 5 13 14 59.0982970 0.124216193 0 0.2759250083 0.082020652
## 970 5 13 14 62.5415923 0.118475172 0 0.2697124697 0.080770069
## 971 5 13 14 65.0281074 0.118343261 0 0.2678240985 0.080056672
## 972 5 13 14 63.6780744 0.116932671 0 0.2746784885 0.081361409
## 973 5 13 14 66.6909986 0.120836599 0 0.2548055096 0.077833164
## 974 5 13 14 66.8578835 0.116574271 0 0.2412725889 0.080294563
## 975 5 13 14 71.3507036 0.111884676 0 0.2162861940 0.079898992
## 976 5 13 14 75.1998574 0.115294874 0 0.2047950620 0.077487474
## 977 5 13 14 82.3000748 0.110375773 0 0.1856408259 0.078146080
## 978 5 13 14 84.0900580 0.110890682 0 0.1710939508 0.077465688
## 979 5 13 14 80.0190853 0.105528355 0 0.1621078184 0.080029565
## 980 5 13 14 85.7839095 0.107581017 0 0.1588749188 0.077668092
## 981 5 13 14 86.9076428 0.108306194 0 0.1569696488 0.077954422
## 982 5 13 14 83.0448529 0.106623850 0 0.1523740172 0.079567794
## 983 5 13 14 84.8413021 0.104432219 0 0.1419749026 0.080053818
## 984 5 13 14 90.6337950 0.109334022 0 0.1384102218 0.077903763
## 985 5 13 14 94.1225253 0.108599049 0 0.1324988396 0.076113645
## 986 5 13 14 96.0471235 0.109692997 0 0.1346261425 0.075606709
## 987 5 13 14 94.8505739 0.111271165 0 0.1331046271 0.076065808
## 988 5 13 14 95.3364163 0.112847452 0 0.1304246545 0.074744204
## 989 5 13 14 95.3364163 0.112847452 0 0.1304246545 0.074744204
## 990 5 13 14 92.9621982 0.118357583 0 0.1267644662 0.074517024
## 991 5 13 14 92.5761245 0.117036146 0 0.1231432672 0.074715089
## 992 5 13 14 87.4573446 0.118014270 0 0.1305190007 0.076091797
## 993 5 13 14 85.0347263 0.125599564 0 0.1359501998 0.072382156
## 994 5 13 14 85.8544160 0.121751766 0 0.1297054086 0.073084024
## 995 5 13 14 85.3351562 0.120984964 0 0.1379296047 0.073978309
## 996 5 13 14 86.1461996 0.123382145 0 0.1314010253 0.071159303
## 997 5 13 14 86.8694180 0.120344562 0 0.1265650224 0.072435175
## 998 5 13 14 86.8404905 0.117539416 0 0.1167712144 0.074536180
## 999 5 13 14 98.3623871 0.111450645 0 0.1000479854 0.074551634
## 1000 5 13 14 97.0195174 0.116553273 0 0.1042231619 0.071029553
## 1001 5 13 14 99.1269226 0.112927549 0 0.0940219673 0.072160570
## 1002 5 13 14 104.8052697 0.105684885 0 0.0794201520 0.072874517
## 1003 5 13 14 104.4716387 0.112478178 0 0.0857737244 0.071214021
## 1004 5 13 14 104.7607530 0.109191975 0 0.0776833536 0.071808722
## 1005 5 13 14 109.2907422 0.110829506 0 0.0687460268 0.071399565
## 1006 5 13 14 111.6058421 0.114079814 0 0.0709644212 0.071378787
## 1007 5 13 14 111.9562848 0.114585099 0 0.0748243252 0.072028467
## 1008 5 13 14 113.3862680 0.104626307 0 0.0602445165 0.072899693
## 1009 5 13 14 119.4784625 0.106100267 0 0.0508881883 0.069975909
## 1010 5 13 14 128.9174340 0.104453741 0 0.0457624631 0.070113898
## 1011 5 13 14 132.9031201 0.105801634 0 0.0443541385 0.068863151
## 1012 5 13 14 129.5289718 0.103411009 0 0.0474559313 0.071196272
## 1013 5 13 14 138.5580841 0.107854352 0 0.0437427128 0.068792013
## 1014 5 13 14 139.9766489 0.105850258 0 0.0400680396 0.068165285
## 1015 5 13 14 143.5860628 0.104512437 0 0.0353031634 0.068445633
## 1016 5 13 14 143.0309067 0.102781153 0 0.0320800547 0.069658863
## 1017 5 13 14 135.9934832 0.103108951 0 0.0340804153 0.070005329
## 1018 5 13 14 142.1768866 0.099648076 0 0.0302652528 0.071228953
## 1019 5 13 14 152.4098077 0.102393995 0 0.0266013256 0.069222472
## 1020 5 13 14 159.6761411 0.102267812 0 0.0246774967 0.066911081
## 1021 5 13 14 158.4910870 0.102155503 0 0.0253755334 0.067160142
## 1022 5 13 14 159.5964865 0.104252425 0 0.0239787880 0.066555511
## 1023 5 13 14 156.7760849 0.102601960 0 0.0229100279 0.068063431
## 1024 5 13 14 150.9926137 0.105545847 0 0.0217836565 0.068440559
## 1025 5 13 14 160.2181561 0.109874005 0 0.0206960105 0.065948136
## 1026 5 13 14 162.8891582 0.106502730 0 0.0202193350 0.065565688
## 1027 5 13 14 158.7075274 0.108178938 0 0.0187775380 0.065634769
## 1028 5 13 14 154.9117654 0.105734277 0 0.0185198107 0.066263793
## 1029 5 13 14 155.8841170 0.106950120 0 0.0166015930 0.065937151
## 1030 5 13 14 162.0195298 0.104365379 0 0.0160799783 0.066269605
## 1031 5 13 14 162.5311075 0.106405438 0 0.0170828860 0.065015333
## 1032 5 13 14 161.9928855 0.108715497 0 0.0164742241 0.064696483
## 1033 5 13 14 158.9975521 0.106264312 0 0.0167111987 0.065500856
## 1034 5 13 14 162.9259806 0.108179517 0 0.0179807555 0.064137311
## 1035 5 13 14 156.6402746 0.105644423 0 0.0181995254 0.067305291
## 1036 5 13 14 152.8237918 0.107451723 0 0.0187870707 0.066767135
## 1037 5 13 14 151.3825713 0.105245456 0 0.0185032585 0.067521993
## 1038 5 13 14 150.2018396 0.102215496 0 0.0187869510 0.067853904
## 1039 5 13 14 146.5284612 0.102893860 0 0.0197030833 0.068085210
## 1040 5 13 14 146.5284612 0.102893860 0 0.0197030833 0.068085210
## 1041 5 13 14 5.1130464 0.632669770 0 0.3617603344 0.341143192
## 1042 5 13 14 5.1130464 0.632669770 0 0.3617603344 0.341143192
## 1043 5 13 14 3.6054025 0.609860220 0 0.3499214600 0.373821469
## 1044 5 13 14 3.8454325 0.543100519 0 0.3425597186 0.359657797
## 1045 5 13 14 3.7673532 0.415495833 0 0.4489660561 0.382434219
## 1046 5 13 14 3.5231913 0.346405425 0 0.4233928782 0.402933571
## 1047 5 13 14 3.9389588 0.330758169 0 0.3683428942 0.414554913
## 1048 5 13 14 4.3753834 0.263638725 0 0.3153104128 0.398684586
## 1049 5 13 14 5.0370765 0.226182707 0 0.2811334656 0.444043682
## 1050 5 13 14 5.5757733 0.168659844 0 0.2366313234 0.506322122
## 1051 5 13 14 5.6304804 0.158830957 0 0.2568073810 0.532118933
## 1052 5 13 14 6.2345300 0.142573700 0 0.2788800023 0.525808958
## 1053 5 13 14 6.3461781 0.142802040 0 0.2679858513 0.511730981
## 1054 5 13 14 6.3324784 0.140475465 0 0.2695755921 0.511989949
## 1055 5 13 14 6.3249178 0.142666810 0 0.2496985848 0.512115855
## 1056 5 13 14 6.7759737 0.138400228 0 0.2594576976 0.481950435
## 1057 5 13 14 6.4342089 0.142703406 0 0.2668083509 0.494236062
## 1058 5 13 14 5.6848079 0.143627107 0 0.2680553484 0.552499635
## 1059 5 13 14 6.1234052 0.141370759 0 0.2650564039 0.523353344
## 1060 5 13 14 6.6970633 0.138336260 0 0.2382462220 0.492038687
## 1061 5 13 14 6.5813210 0.138215164 0 0.2433473310 0.503644309
## 1062 5 13 14 6.6772101 0.136245300 0 0.2549413307 0.492717206
## 1063 5 13 14 6.5459817 0.136754387 0 0.2713406686 0.496617911
## 1064 5 13 14 6.6464529 0.138612427 0 0.2750624757 0.485300699
## 1065 5 13 14 6.4426401 0.139167396 0 0.2884341388 0.494276763
## 1066 5 13 14 6.5989251 0.134836292 0 0.2939019427 0.503915038
## 1067 5 13 14 5.9005889 0.142547202 0 0.2928911884 0.528558173
## 1068 5 13 14 5.4063233 0.143503722 0 0.3297477883 0.564227997
## 1069 5 13 14 4.8934355 0.149254649 0 0.3893371991 0.584415434
## 1070 5 13 14 4.9358973 0.148068664 0 0.3922998707 0.585976418
## 1071 5 13 14 4.7714612 0.149265067 0 0.4073282653 0.600227806
## 1072 5 13 14 4.5237569 0.152381105 0 0.4133893973 0.614955193
## 1073 5 13 14 4.2312271 0.160278274 0 0.4269272871 0.609361977
## 1074 5 13 14 4.2813179 0.155358710 0 0.4288292755 0.623901735
## 1075 5 13 14 4.1532769 0.158508662 0 0.4287637668 0.631125933
## 1076 5 13 14 4.1853115 0.160039659 0 0.4273972243 0.615151056
## 1077 5 13 14 4.0908039 0.158147031 0 0.4363079006 0.629857299
## 1078 5 13 14 4.3011410 0.154912000 0 0.4177377953 0.626708593
## 1079 5 13 14 4.4523092 0.154831929 0 0.3948769930 0.611111289
## 1080 5 13 14 4.5484228 0.154350061 0 0.3977379828 0.593590782
## 1081 5 13 14 4.6219827 0.152324685 0 0.3922326434 0.590401460
## 1082 5 13 14 4.9345063 0.147993570 0 0.3805679740 0.571105530
## 1083 5 13 14 5.0742898 0.145454909 0 0.3812525903 0.563803034
## 1084 5 13 14 5.1791720 0.145388994 0 0.3810311108 0.553333641
## 1085 5 13 14 5.1376502 0.144644904 0 0.3746249516 0.560882913
## 1086 5 13 14 5.2054336 0.141159508 0 0.3593411889 0.568590574
## 1087 5 13 14 5.3743342 0.143676490 0 0.3759676817 0.539101640
## 1088 5 13 14 5.1202087 0.143267828 0 0.3969788890 0.562554866
## 1089 5 13 14 5.2334241 0.143277402 0 0.3818726487 0.550400520
## 1090 5 13 14 5.4528260 0.140292678 0 0.3663973676 0.538871314
## 1091 5 13 14 5.4258500 0.140811406 0 0.3600908479 0.539334958
## 1092 5 13 14 5.4083457 0.141205323 0 0.3580255903 0.543481984
## 1093 5 13 14 5.4083457 0.141205323 0 0.3580255903 0.543481984
## 1094 5 13 14 5.4365500 0.142401918 0 0.3594281189 0.547248633
## 1095 5 13 14 5.2097953 0.147715406 0 0.3485690119 0.555036417
## 1096 5 13 14 5.0232942 0.151474193 0 0.3462142262 0.562232068
## 1097 5 13 14 4.9792240 0.148662919 0 0.3688321803 0.572303820
## 1098 5 13 14 4.8112501 0.153749572 0 0.3707556943 0.572431297
## 1099 5 13 14 4.8852892 0.154108754 0 0.3824365139 0.566508079
## 1100 5 13 14 5.2218742 0.151173497 0 0.3856612551 0.540039336
## 1101 5 13 14 5.1043311 0.150430789 0 0.3702112738 0.552973484
## 1102 5 13 14 4.4635643 0.156437350 0 0.3610347323 0.611158172
## 1103 5 13 14 4.8818581 0.150373195 0 0.3268088013 0.581326800
## 1104 5 13 14 4.6071439 0.149882537 0 0.3512423319 0.617841443
## 1105 5 13 14 4.8606082 0.151287854 0 0.3734643370 0.573323552
## 1106 5 13 14 4.4237179 0.157133982 0 0.3664460416 0.609409616
## 1107 5 13 14 3.8949745 0.164092140 0 0.3837196777 0.657691474
## 1108 5 13 14 3.8103269 0.163874131 0 0.3817285265 0.667757690
## 1109 5 13 14 4.0872643 0.156443199 0 0.3719434302 0.660244604
## 1110 5 13 14 4.1604436 0.155196634 0 0.3739089001 0.656873480
## 1111 5 13 14 4.4149936 0.151392903 0 0.3762258646 0.631519962
## 1112 5 13 14 4.4869288 0.147824905 0 0.3658551910 0.635205500
## 1113 5 13 14 4.3923686 0.151510051 0 0.3629894848 0.630116557
## 1114 5 13 14 4.6572233 0.147610835 0 0.3458093804 0.617415129
## 1115 5 13 14 4.8100017 0.143048016 0 0.3467312896 0.606156343
## 1116 5 13 14 4.8001438 0.143211760 0 0.3654174466 0.610492703
## 1117 5 13 14 4.7609485 0.144029483 0 0.3714351821 0.609999508
## 1118 5 13 14 4.7542705 0.144659097 0 0.3637719355 0.609426856
## 1119 5 13 14 4.8651008 0.140303370 0 0.3644778391 0.610294263
## 1120 5 13 14 5.1933525 0.138363097 0 0.3088295898 0.588367601
## 1121 5 13 14 5.2780936 0.137927015 0 0.3033540185 0.581878233
## 1122 5 13 14 5.5321050 0.133685166 0 0.2822914335 0.576307990
## 1123 5 13 14 5.5196866 0.133557548 0 0.2834185107 0.574743530
## 1124 5 13 14 5.4699409 0.132716122 0 0.2913162469 0.579235409
## 1125 5 13 14 5.6637090 0.131736197 0 0.2914151982 0.569534264
## 1126 5 13 14 5.7770322 0.130577093 0 0.2953558465 0.563193739
## 1127 5 13 14 5.7390853 0.132128737 0 0.2918251757 0.560212118
## 1128 5 13 14 5.7017880 0.132010333 0 0.2802662605 0.561940383
## 1129 5 13 14 5.8840631 0.130085373 0 0.3018999409 0.553192521
## 1130 5 13 14 5.9292119 0.129045343 0 0.2906602074 0.554359411
## 1131 5 13 14 5.8281195 0.129947585 0 0.2792253720 0.563546974
## 1132 5 13 14 5.7468280 0.128795527 0 0.2739417581 0.582725481
## 1133 5 13 14 5.6120787 0.130233398 0 0.2702060850 0.585369573
## 1134 5 13 14 6.0449600 0.127657934 0 0.2598277709 0.560000595
## 1135 5 13 14 6.0513004 0.126791072 0 0.2619896816 0.563320693
## 1136 5 13 14 5.9824483 0.127367149 0 0.2638620386 0.566283859
## 1137 5 13 14 6.0483869 0.126709842 0 0.2521766519 0.562367591
## 1138 5 13 14 5.9624316 0.127342359 0 0.2678133205 0.561058074
## 1139 5 13 14 5.9284879 0.127589749 0 0.2725662267 0.565047649
## 1140 5 13 14 5.7306801 0.128500698 0 0.2660251029 0.579463997
## 1141 5 13 14 5.6777634 0.128655881 0 0.2722948310 0.587182194
## 1142 5 13 14 5.9121237 0.126618108 0 0.2775683655 0.570336665
## 1143 5 13 14 5.6657831 0.129714030 0 0.2771711075 0.582141484
## 1144 5 13 14 5.6657831 0.129714030 0 0.2771711075 0.582141484
## 1145 5 13 14 2.1488629 0.074364993 0 0.3433282714 0.698056418
## 1146 5 13 14 2.1488629 0.074364993 0 0.3433282714 0.698056418
## 1147 5 13 14 3.4465343 0.096004199 0 0.3242215957 0.722043747
## 1148 5 13 14 4.9610100 0.123867577 0 0.3345182337 0.762321860
## 1149 5 13 14 5.2204278 0.110776234 0 0.3345628649 0.741035076
## 1150 5 13 14 4.6503050 0.140970970 0 0.3389512197 0.719102325
## 1151 5 13 14 4.1776952 0.162275952 0 0.3434285977 0.681955866
## 1152 5 13 14 4.3084205 0.172966312 0 0.3252556981 0.624524870
## 1153 5 13 14 4.3028033 0.181078841 0 0.3157877234 0.594435529
## 1154 5 13 14 4.8658739 0.168534422 0 0.3091064226 0.566941357
## 1155 5 13 14 5.5853594 0.158405109 0 0.3144277050 0.517386991
## 1156 5 13 14 5.6592628 0.163725441 0 0.3494760707 0.485017851
## 1157 5 13 14 5.8847691 0.161711534 0 0.3406906124 0.465837086
## 1158 5 13 14 5.9741459 0.160859081 0 0.4155643523 0.455772106
## 1159 5 13 14 6.1420753 0.159830913 0 0.4527862470 0.439432921
## 1160 5 13 14 6.2271049 0.159263021 0 0.4425184227 0.433237625
## 1161 5 13 14 6.5468422 0.155588854 0 0.4409007420 0.415574845
## 1162 5 13 14 6.6682368 0.154266714 0 0.4345703170 0.412432357
## 1163 5 13 14 6.7069430 0.154326913 0 0.4633890244 0.406791445
## 1164 5 13 14 6.8455927 0.153847246 0 0.4734906552 0.392344572
## 1165 5 13 14 7.1521850 0.150048342 0 0.4715139297 0.385245716
## 1166 5 13 14 7.2230271 0.151253428 0 0.4751767091 0.377750229
## 1167 5 13 14 7.4939637 0.152701849 0 0.4813721252 0.359310552
## 1168 5 13 14 8.3879526 0.147967300 0 0.4726049452 0.328756939
## 1169 5 13 14 8.5554657 0.147467847 0 0.4796813641 0.317745560
## 1170 5 13 14 8.5079022 0.145871070 0 0.4924014237 0.321312299
## 1171 5 13 14 7.4610591 0.151800652 0 0.5405102566 0.347445227
## 1172 5 13 14 6.9238596 0.156694606 0 0.5516694682 0.359222622
## 1173 5 13 14 6.9399064 0.154204872 0 0.5749047192 0.359777850
## 1174 5 13 14 6.2548554 0.159911795 0 0.6046333994 0.382987860
## 1175 5 13 14 5.9706554 0.162345474 0 0.6023800222 0.393524538
## 1176 5 13 14 5.8228669 0.161472125 0 0.6027961747 0.408765971
## 1177 5 13 14 5.8454493 0.161539266 0 0.5890066507 0.405448760
## 1178 5 13 14 5.9818244 0.159948232 0 0.5898342758 0.399832715
## 1179 5 13 14 5.8980416 0.160979738 0 0.5858983031 0.400956045
## 1180 5 13 14 5.8669140 0.161792889 0 0.6010106689 0.402812756
## 1181 5 13 14 5.6584911 0.165276332 0 0.6093887122 0.406975944
## 1182 5 13 14 5.5854541 0.167951258 0 0.6190719945 0.404282956
## 1183 5 13 14 5.5187538 0.167797666 0 0.6447482977 0.399654195
## 1184 5 13 14 5.6709315 0.164918753 0 0.6357925278 0.398733856
## 1185 5 13 14 5.6926167 0.163379074 0 0.6351417507 0.398770618
## 1186 5 13 14 5.6701895 0.161779621 0 0.6435623256 0.405422940
## 1187 5 13 14 5.7720011 0.160948981 0 0.6293835294 0.401030779
## 1188 5 13 14 5.7664613 0.160096853 0 0.6432360524 0.401347715
## 1189 5 13 14 5.7525826 0.160099155 0 0.6452137471 0.400955584
## 1190 5 13 14 5.8198895 0.160543920 0 0.6373470171 0.399630761
## 1191 5 13 14 5.6651117 0.162139523 0 0.6685339044 0.403407000
## 1192 5 13 14 5.4265086 0.162924968 0 0.7131543611 0.415395050
## 1193 5 13 14 5.2795735 0.166230223 0 0.7404834579 0.413199362
## 1194 5 13 14 5.3524868 0.164021964 0 0.7188148832 0.415790274
## 1195 5 13 14 5.4425958 0.164011751 0 0.7143883687 0.407676038
## 1196 5 13 14 5.5506536 0.162651143 0 0.6776627277 0.407327884
## 1197 5 13 14 5.5506536 0.162651143 0 0.6776627277 0.407327884
## 1198 5 13 14 5.5715318 0.166040918 0 0.6799979960 0.412171549
## 1199 5 13 14 5.4619678 0.166553419 0 0.6898802831 0.412846902
## 1200 5 13 14 5.3963641 0.174253223 0 0.6974659913 0.402201657
## 1201 5 13 14 5.3985593 0.173567692 0 0.6831679674 0.403169937
## 1202 5 13 14 5.6925858 0.168129240 0 0.6901799571 0.388085465
## 1203 5 13 14 5.6193350 0.168808676 0 0.6956332473 0.390393481
## 1204 5 13 14 5.3546325 0.173045560 0 0.7273708470 0.390641370
## 1205 5 13 14 5.3387987 0.174867022 0 0.7469960418 0.379312148
## 1206 5 13 14 5.2590135 0.173431535 0 0.7694995435 0.387283382
## 1207 5 13 14 5.1323916 0.176419374 0 0.7637714290 0.386594766
## 1208 5 13 14 5.1431873 0.176811653 0 0.7436796495 0.384439439
## 1209 5 13 14 5.3039672 0.177490943 0 0.7367126384 0.374034133
## 1210 5 13 14 5.2985448 0.174327839 0 0.7503854724 0.383129075
## 1211 5 13 14 5.0656848 0.178060360 0 0.7118569364 0.392977124
## 1212 5 13 14 5.1574307 0.181641514 0 0.6910152903 0.380542720
## 1213 5 13 14 5.3662515 0.177081613 0 0.7038073021 0.370841154
## 1214 5 13 14 5.5321527 0.171372353 0 0.7006036801 0.373381136
## 1215 5 13 14 5.5049190 0.172207644 0 0.7076103333 0.371364014
## 1216 5 13 14 5.2598642 0.176959929 0 0.7107826279 0.379469449
## 1217 5 13 14 5.4884137 0.173587517 0 0.7183544763 0.365546228
## 1218 5 13 14 5.4216572 0.175576426 0 0.7451000828 0.362974505
## 1219 5 13 14 5.2532511 0.180042447 0 0.7508326154 0.364177825
## 1220 5 13 14 5.1641260 0.178736592 0 0.7584224185 0.370249024
## 1221 5 13 14 5.2506864 0.174910643 0 0.7577792262 0.376128580
## 1222 5 13 14 5.0748527 0.176878018 0 0.7555105577 0.390141341
## 1223 5 13 14 4.9851570 0.179656756 0 0.7650272863 0.386265346
## 1224 5 13 14 5.0320624 0.179408369 0 0.7804415803 0.381894476
## 1225 5 13 14 5.2789554 0.178397239 0 0.7762562892 0.359213802
## 1226 5 13 14 5.4054944 0.175918934 0 0.7823097862 0.354547192
## 1227 5 13 14 5.3179011 0.177353063 0 0.7928743056 0.357348807
## 1228 5 13 14 5.2533345 0.175141867 0 0.7943718309 0.362997377
## 1229 5 13 14 5.2876785 0.176478275 0 0.7878572646 0.358153404
## 1230 5 13 14 5.3058816 0.178970376 0 0.7911361823 0.352624909
## 1231 5 13 14 5.2675400 0.178940436 0 0.8014583577 0.353351592
## 1232 5 13 14 5.2777604 0.179369345 0 0.8119966863 0.351367088
## 1233 5 13 14 5.2663320 0.178655040 0 0.8302647503 0.347862635
## 1234 5 13 14 5.2769255 0.181033417 0 0.8422536982 0.340085262
## 1235 5 13 14 5.2759800 0.178743542 0 0.8530692144 0.339652087
## 1236 5 13 14 5.2613906 0.179938263 0 0.8561378871 0.340134038
## 1237 5 13 14 5.2535144 0.181930893 0 0.8574066982 0.336257620
## 1238 5 13 14 5.3428299 0.180051239 0 0.8621577831 0.330201252
## 1239 5 13 14 5.2584560 0.182852504 0 0.8529817176 0.334410881
## 1240 5 13 14 5.2763696 0.181342082 0 0.8541624585 0.333676663
## 1241 5 13 14 5.2608880 0.180296420 0 0.8600358039 0.338835869
## 1242 5 13 14 5.0881354 0.183330855 0 0.8610838913 0.346613041
## 1243 5 13 14 5.1224755 0.183461344 0 0.8577382243 0.344544849
## 1244 5 13 14 5.0914805 0.183065108 0 0.8651863454 0.346218973
## 1245 5 13 14 5.0505722 0.180828846 0 0.8677188373 0.352479787
## 1246 5 13 14 5.0267829 0.181789332 0 0.8638683226 0.353504441
## 1247 5 13 14 5.0832395 0.183856474 0 0.8750608478 0.344360971
## 1248 5 13 14 5.0832395 0.183856474 0 0.8750608478 0.344360971
## 1249 5 13 14 7.4959726 0.993485334 0 0.5756450884 0.112395711
## 1250 5 13 14 7.4959726 0.993485334 0 0.5756450884 0.112395711
## 1251 5 13 14 8.4462578 0.993595285 0 0.5752344470 0.124126161
## 1252 5 13 14 14.8583919 0.992879652 0 0.6334478912 0.136556232
## 1253 5 13 14 15.0316251 0.993028663 0 0.6078716492 0.138115172
## 1254 5 13 14 15.0713741 0.991774733 0 0.6269121381 0.137895660
## 1255 5 13 14 12.9377673 0.991035677 0 0.6348135172 0.157861658
## 1256 5 13 14 13.9779221 0.990568480 0 0.6016674195 0.176893577
## 1257 5 13 14 12.6824301 0.988040435 0 0.6200601867 0.150467824
## 1258 5 13 14 12.1940435 0.987614178 0 0.5876948838 0.134149372
## 1259 5 13 14 13.5714341 0.983298441 0 0.6150634992 0.158587145
## 1260 5 13 14 12.3391469 0.986087183 0 0.6687153147 0.172866964
## 1261 5 13 14 11.8304101 0.985841615 0 0.6180920109 0.158268298
## 1262 5 13 14 12.1081288 0.988419605 0 0.6535732554 0.160727844
## 1263 5 13 14 12.8483723 0.986682048 0 0.6886387414 0.158457549
## 1264 5 13 14 12.4873199 0.984405624 0 0.6609923233 0.158038296
## 1265 5 13 14 12.3351680 0.983968456 0 0.6655545788 0.147591972
## 1266 5 13 14 11.4994431 0.975206442 0 0.6764831546 0.151074563
## 1267 5 13 14 11.3821261 0.986739609 0 0.7113337104 0.169600148
## 1268 5 13 14 11.4886814 0.984723118 0 0.7316082041 0.186036406
## 1269 5 13 14 10.8497541 0.983822799 0 0.7258776655 0.176467206
## 1270 5 13 14 10.7903901 0.983629092 0 0.7293294206 0.182773742
## 1271 5 13 14 10.9038972 0.982303620 0 0.7332725474 0.177286571
## 1272 5 13 14 10.6282790 0.981376994 0 0.7115352184 0.173798299
## 1273 5 13 14 10.3560099 0.981017720 0 0.7192246174 0.181338387
## 1274 5 13 14 10.4406829 0.979420243 0 0.7298165718 0.186702685
## 1275 5 13 14 10.9774951 0.978563760 0 0.7209941682 0.174393625
## 1276 5 13 14 11.1929549 0.981153945 0 0.6749405536 0.177055697
## 1277 5 13 14 10.9418141 0.982691872 0 0.6936573670 0.178713237
## 1278 5 13 14 11.9908872 0.978042736 0 0.6395021132 0.161228949
## 1279 5 13 14 12.2879865 0.967749481 0 0.5719062637 0.181982513
## 1280 5 13 14 10.5464701 0.966807453 0 0.5660016636 0.179731772
## 1281 5 13 14 11.9888664 0.965524547 0 0.5941459404 0.182279875
## 1282 5 13 14 12.3946604 0.963546682 0 0.5910008929 0.172193467
## 1283 5 13 14 13.0537723 0.966128288 0 0.5721190879 0.163057155
## 1284 5 13 14 13.5694852 0.963903814 0 0.5711160214 0.157037161
## 1285 5 13 14 12.6274557 0.961787355 0 0.6353433566 0.152107205
## 1286 5 13 14 10.1984428 0.959912656 0 0.6325162077 0.145511005
## 1287 5 13 14 12.1612555 0.956442294 0 0.6738216789 0.149952819
## 1288 5 13 14 11.5977119 0.956613261 0 0.6785557316 0.147493262
## 1289 5 13 14 10.5798127 0.960635919 0 0.7043258136 0.168187170
## 1290 5 13 14 11.2364752 0.956184822 0 0.6621743114 0.147156524
## 1291 5 13 14 11.0965379 0.958346643 0 0.6367447040 0.156013289
## 1292 5 13 14 12.7382296 0.942100088 0 0.5221307824 0.168855789
## 1293 5 13 14 13.9402772 0.940324810 0 0.5033235470 0.174601818
## 1294 5 13 14 12.7913412 0.940066442 0 0.5276888671 0.171973877
## 1295 5 13 14 12.7298129 0.938159897 0 0.5299744860 0.173823953
## 1296 5 13 14 13.5381487 0.937411842 0 0.5328002293 0.171986395
## 1297 5 13 14 13.4332224 0.937440800 0 0.5159814988 0.172126284
## 1298 5 13 14 13.6875171 0.934972852 0 0.5282924912 0.176393207
## 1299 5 13 14 11.8096586 0.932496194 0 0.5481471009 0.174059817
## 1300 5 13 14 11.5579456 0.944955942 0 0.5584504120 0.178000229
## 1301 5 13 14 11.5579456 0.944955942 0 0.5584504120 0.178000229
## 1302 5 13 14 13.5093040 0.940605777 0 0.5649303862 0.184431387
## 1303 5 13 14 12.8320897 0.943206716 0 0.5338215730 0.164261143
## 1304 5 13 14 10.9701979 0.948051923 0 0.5583548567 0.153634364
## 1305 5 13 14 12.2541261 0.967188237 0 0.5387746972 0.153787308
## 1306 5 13 14 11.9079559 0.954645141 0 0.5273670325 0.153066484
## 1307 5 13 14 12.1803011 0.962944651 0 0.5368091409 0.144451505
## 1308 5 13 14 12.6381924 0.955565927 0 0.5771835637 0.139476249
## 1309 5 13 14 12.4778075 0.957545904 0 0.5839323804 0.145674612
## 1310 5 13 14 12.3971529 0.965083093 0 0.6335948030 0.131860724
## 1311 5 13 14 11.2561581 0.966446260 0 0.6615464666 0.143816643
## 1312 5 13 14 10.3603318 0.968619692 0 0.6975648587 0.141453054
## 1313 5 13 14 11.3793217 0.968084900 0 0.6863834101 0.149741370
## 1314 5 13 14 10.8613226 0.961867847 0 0.6757771805 0.151147218
## 1315 5 13 14 10.7526103 0.959765385 0 0.6969483897 0.147464187
## 1316 5 13 14 11.0087883 0.947909789 0 0.6876408773 0.150003642
## 1317 5 13 14 11.1372672 0.940638404 0 0.6826125385 0.157844475
## 1318 5 13 14 11.9080488 0.925287656 0 0.6322875216 0.115817148
## 1319 5 13 14 12.8401293 0.934066624 0 0.6946293126 0.131925480
## 1320 5 13 14 12.3117183 0.934281439 0 0.6674899382 0.132791768
## 1321 5 13 14 11.1104054 0.933862950 0 0.6698561314 0.116579585
## 1322 5 13 14 11.6217908 0.915944567 0 0.6861710960 0.144568055
## 1323 5 13 14 10.4722815 0.938272972 0 0.6674048041 0.150715207
## 1324 5 13 14 11.2849835 0.925588213 0 0.7087439235 0.154220524
## 1325 5 13 14 10.4702062 0.924676390 0 0.7016221513 0.146190497
## 1326 5 13 14 10.9463650 0.923872271 0 0.6900244063 0.151027996
## 1327 5 13 14 11.6817304 0.929482801 0 0.6721184304 0.140683444
## 1328 5 13 14 11.6858404 0.936829792 0 0.6750659350 0.142868502
## 1329 5 13 14 10.9483007 0.936339072 0 0.6686909220 0.148449514
## 1330 5 13 14 12.3277115 0.931605737 0 0.6788779927 0.135098683
## 1331 5 13 14 11.1477531 0.913882781 0 0.7035606643 0.124969805
## 1332 5 13 14 11.0887527 0.932754246 0 0.7250139801 0.132920466
## 1333 5 13 14 10.5643579 0.921477536 0 0.7099902095 0.155014410
## 1334 5 13 14 10.8272949 0.925248969 0 0.7288765989 0.141999143
## 1335 5 13 14 10.8903900 0.919253332 0 0.7321033241 0.142399372
## 1336 5 13 14 11.6372974 0.912329873 0 0.7555270877 0.138130092
## 1337 5 13 14 11.0094559 0.912148438 0 0.7743811712 0.134278222
## 1338 5 13 14 10.2377919 0.907668731 0 0.7908206596 0.135915123
## 1339 5 13 14 9.7808462 0.915156573 0 0.8028940327 0.134551824
## 1340 5 13 14 10.6012695 0.918197276 0 0.8154417216 0.135645445
## 1341 5 13 14 9.4664913 0.924382030 0 0.8297376943 0.133579653
## 1342 5 13 14 9.7526318 0.921939676 0 0.8146950731 0.135591841
## 1343 5 13 14 10.5579001 0.909261755 0 0.7964489904 0.136313957
## 1344 5 13 14 10.1641618 0.903860564 0 0.7826295362 0.138098316
## 1345 5 13 14 11.9988142 0.850861166 0 0.7273915985 0.138615302
## 1346 5 13 14 11.8193818 0.846352584 0 0.7285127068 0.144974372
## 1347 5 13 14 11.4583840 0.838892919 0 0.7112973610 0.126859965
## 1348 5 13 14 12.6226173 0.842705970 0 0.6777825945 0.136245914
## 1349 5 13 14 12.1326844 0.837761146 0 0.6762768029 0.133615910
## 1350 5 13 14 11.8844955 0.834802645 0 0.7290176721 0.122418571
## 1351 5 13 14 12.5543301 0.841088590 0 0.6993056430 0.122675829
## 1352 5 13 14 12.5543301 0.841088590 0 0.6993056430 0.122675829
## 1353 5 13 14 5.2480844 0.290082378 0 0.6046431349 0.580137536
## 1354 5 13 14 5.2480844 0.290082378 0 0.6046431349 0.580137536
## 1355 5 13 14 3.4332298 0.225471240 0 0.6001957704 0.578143988
## 1356 5 13 14 3.7506887 0.195181785 0 0.5679607867 0.600955320
## 1357 5 13 14 4.8412049 0.163064549 0 0.5630365306 0.553125405
## 1358 5 13 14 5.5727613 0.153550659 0 0.5675436935 0.497862815
## 1359 5 13 14 6.4610805 0.145941959 0 0.5553758026 0.454611981
## 1360 5 13 14 6.7890938 0.142948680 0 0.5580885901 0.430168490
## 1361 5 13 14 6.7210216 0.139918149 0 0.5433452917 0.446604428
## 1362 5 13 14 6.4628501 0.142146527 0 0.5463326829 0.455951005
## 1363 5 13 14 6.4330865 0.140377924 0 0.5463211011 0.454551342
## 1364 5 13 14 6.6484714 0.140358069 0 0.5164658805 0.440548735
## 1365 5 13 14 6.4566627 0.141927089 0 0.5609266152 0.442601107
## 1366 5 13 14 6.5596385 0.140956896 0 0.4867398221 0.446888577
## 1367 5 13 14 6.6158698 0.142135336 0 0.4620033544 0.442084362
## 1368 5 13 14 6.5798639 0.141138857 0 0.4403597912 0.446634599
## 1369 5 13 14 6.3016614 0.141304364 0 0.4249467701 0.474422926
## 1370 5 13 14 5.8547019 0.143022619 0 0.4236757835 0.497496792
## 1371 5 13 14 5.5035834 0.146695802 0 0.3999499054 0.525519693
## 1372 5 13 14 5.8326637 0.144999615 0 0.3968671107 0.494815685
## 1373 5 13 14 5.6833508 0.143521283 0 0.4405133769 0.500454507
## 1374 5 13 14 5.6697945 0.145183068 0 0.4684709232 0.491461304
## 1375 5 13 14 5.5900888 0.146150289 0 0.4454913262 0.493057419
## 1376 5 13 14 5.5942896 0.144308711 0 0.4340537125 0.503334872
## 1377 5 13 14 5.6344881 0.143322912 0 0.4290301936 0.498909165
## 1378 5 13 14 5.7658847 0.141189306 0 0.4372244069 0.497472725
## 1379 5 13 14 5.8162583 0.140570725 0 0.4440450938 0.491607074
## 1380 5 13 14 5.8039237 0.141262931 0 0.4433698217 0.493707033
## 1381 5 13 14 5.7070784 0.140630386 0 0.4591880947 0.498361385
## 1382 5 13 14 5.5582928 0.143555156 0 0.4832674174 0.495772634
## 1383 5 13 14 5.2442401 0.144350528 0 0.5174955163 0.514324199
## 1384 5 13 14 5.1820699 0.144008938 0 0.5195193304 0.518002515
## 1385 5 13 14 5.2289591 0.145082321 0 0.5166517986 0.515635521
## 1386 5 13 14 5.5106190 0.142579757 0 0.5072107636 0.498751917
## 1387 5 13 14 5.7042166 0.140042163 0 0.5093163338 0.485228140
## 1388 5 13 14 5.4885571 0.142192915 0 0.5048398908 0.496366488
## 1389 5 13 14 5.4549347 0.141459879 0 0.5134710855 0.495344252
## 1390 5 13 14 5.7387345 0.138564752 0 0.5003299127 0.490231551
## 1391 5 13 14 5.5975832 0.141365562 0 0.5009116164 0.487084235
## 1392 5 13 14 5.6362515 0.138298871 0 0.4877885224 0.500724461
## 1393 5 13 14 5.5914752 0.139109634 0 0.4689323296 0.505301210
## 1394 5 13 14 5.6249043 0.139552370 0 0.4956647643 0.492783560
## 1395 5 13 14 5.6091885 0.138008161 0 0.4925704801 0.500524804
## 1396 5 13 14 5.5839330 0.140112921 0 0.4800987427 0.498006387
## 1397 5 13 14 5.9267565 0.136476368 0 0.4701399538 0.483652352
## 1398 5 13 14 5.7664547 0.139193566 0 0.4913513429 0.481184304
## 1399 5 13 14 5.8038892 0.138918756 0 0.4877096139 0.478557909
## 1400 5 13 14 5.7609665 0.137811669 0 0.4700183360 0.489146435
## 1401 5 13 14 5.6967863 0.138475890 0 0.4879736295 0.490627479
## 1402 5 13 14 5.6927897 0.138209560 0 0.5124603134 0.484944580
## 1403 5 13 14 5.6614522 0.137825518 0 0.5246333222 0.488934812
## 1404 5 13 14 5.5289509 0.138368285 0 0.5392271311 0.499094848
## 1405 5 13 14 5.5289509 0.138368285 0 0.5392271311 0.499094848
## 1406 5 13 14 5.5388304 0.141756161 0 0.5379863376 0.501076222
## 1407 5 13 14 5.3353430 0.150090210 0 0.5334557671 0.499627661
## 1408 5 13 14 5.3812895 0.145408785 0 0.5351275794 0.502791752
## 1409 5 13 14 5.3191561 0.145453380 0 0.5276139974 0.512706016
## 1410 5 13 14 5.2250176 0.150981670 0 0.5179274520 0.504053530
## 1411 5 13 14 5.0424205 0.151007923 0 0.5381608020 0.525759015
## 1412 5 13 14 5.2197016 0.148510549 0 0.5403098162 0.512149124
## 1413 5 13 14 5.5547893 0.142352219 0 0.5507751432 0.497832408
## 1414 5 13 14 4.9407940 0.149136120 0 0.5361880651 0.536308859
## 1415 5 13 14 4.8200366 0.149251709 0 0.5830723009 0.538712537
## 1416 5 13 14 4.8346335 0.151610551 0 0.5625964463 0.531507758
## 1417 5 13 14 4.8312482 0.149389274 0 0.5410593378 0.538168182
## 1418 5 13 14 5.0156204 0.147562114 0 0.5086478166 0.532212908
## 1419 5 13 14 5.0529120 0.142713478 0 0.4961487731 0.544809610
## 1420 5 13 14 4.9996989 0.146451937 0 0.5074651547 0.536175010
## 1421 5 13 14 5.0612571 0.145750285 0 0.5005669178 0.531770691
## 1422 5 13 14 4.9179545 0.146930062 0 0.4981197078 0.541912438
## 1423 5 13 14 5.0612613 0.141544398 0 0.4993097577 0.545540534
## 1424 5 13 14 5.1111198 0.139779508 0 0.4941444204 0.540280360
## 1425 5 13 14 5.1188289 0.141434756 0 0.5175990828 0.537726468
## 1426 5 13 14 4.9429537 0.143492818 0 0.5164331079 0.542601974
## 1427 5 13 14 4.9391142 0.144326952 0 0.5258237057 0.539026467
## 1428 5 13 14 4.7463113 0.149027925 0 0.5297544358 0.542447063
## 1429 5 13 14 4.7910855 0.146109042 0 0.5417103867 0.546683556
## 1430 5 13 14 4.8181052 0.145095336 0 0.5586330923 0.544056054
## 1431 5 13 14 4.7760374 0.147145201 0 0.5751490705 0.539854646
## 1432 5 13 14 4.9151901 0.144528175 0 0.5921001318 0.526918803
## 1433 5 13 14 4.8985706 0.146804741 0 0.6013139081 0.521913458
## 1434 5 13 14 4.9411583 0.145631710 0 0.6035010379 0.519943848
## 1435 5 13 14 4.8432876 0.149776316 0 0.6162022138 0.514912120
## 1436 5 13 14 4.8819097 0.149974039 0 0.6046733612 0.514533338
## 1437 5 13 14 4.9663986 0.149496752 0 0.6110569461 0.503839202
## 1438 5 13 14 5.0437671 0.149532667 0 0.6008679303 0.498600519
## 1439 5 13 14 4.8550343 0.152600244 0 0.6225755502 0.507095816
## 1440 5 13 14 4.8358428 0.151115183 0 0.6246978978 0.510103841
## 1441 5 13 14 4.6831377 0.153550007 0 0.6393413425 0.517524308
## 1442 5 13 14 4.8034483 0.152877978 0 0.6559420496 0.502461378
## 1443 5 13 14 4.8020630 0.152159354 0 0.6527774507 0.504651639
## 1444 5 13 14 4.8888413 0.150927548 0 0.6775081906 0.491511182
## 1445 5 13 14 4.8402616 0.152151413 0 0.6940468059 0.492770340
## 1446 5 13 14 4.8137880 0.153676489 0 0.6992513988 0.489049765
## 1447 5 13 14 4.8173966 0.152793762 0 0.7096232749 0.491427928
## 1448 5 13 14 4.7849100 0.152865754 0 0.7167044274 0.490337237
## 1449 5 13 14 4.8218795 0.154947152 0 0.7213215820 0.482356918
## 1450 5 13 14 4.7599984 0.155094615 0 0.7234587395 0.483602025
## 1451 5 13 14 4.7283999 0.154751325 0 0.7296537805 0.488272241
## 1452 5 13 14 4.8349111 0.154982286 0 0.7295484849 0.477137695
## 1453 5 13 14 4.7551833 0.154601811 0 0.7407031461 0.485332847
## 1454 5 13 14 4.7847251 0.155146169 0 0.7393452143 0.483197075
## 1455 5 13 14 4.7787033 0.156206952 0 0.7379141208 0.483016640
## 1456 5 13 14 4.7787033 0.156206952 0 0.7379141208 0.483016640
## 1457 5 13 14 7.4173043 0.478820827 0 0.9575989717 0.081793183
## 1458 5 13 14 7.4173043 0.478820827 0 0.9575989717 0.081793183
## 1459 5 13 14 7.5713844 0.594744517 0 0.9472480841 0.107865132
## 1460 5 13 14 8.1894883 0.619910202 0 0.9505570596 0.105200099
## 1461 5 13 14 10.0496025 0.634199079 0 0.9480014613 0.144748274
## 1462 5 13 14 12.5391071 0.578736334 0 0.9475307846 0.185704040
## 1463 5 13 14 10.2099157 0.628245323 0 0.9554973488 0.215533849
## 1464 5 13 14 9.6719639 0.562035563 0 0.9536286697 0.221022894
## 1465 5 13 14 10.4991581 0.572764757 0 0.9628660273 0.245470989
## 1466 5 13 14 10.4404432 0.533820863 0 0.9516826709 0.156405647
## 1467 5 13 14 9.6891355 0.568080129 0 0.9595628503 0.233751206
## 1468 5 13 14 9.6456388 0.596115055 0 0.9722167620 0.254626717
## 1469 5 13 14 10.8097784 0.547418638 0 0.9780207606 0.235310312
## 1470 5 13 14 10.6509111 0.556331433 0 0.9796277937 0.235273001
## 1471 5 13 14 14.0621470 0.586403564 0 0.9790239890 0.168878734
## 1472 5 13 14 12.5886028 0.543646484 0 0.9781488329 0.149565513
## 1473 5 13 14 14.3829158 0.498570804 0 0.9763574683 0.161062495
## 1474 5 13 14 14.5515276 0.401033749 0 0.9749612457 0.172664930
## 1475 5 13 14 18.7156854 0.334254206 0 0.9774252819 0.177292733
## 1476 5 13 14 20.0298778 0.375846592 0 0.9752455770 0.169394432
## 1477 5 13 14 19.0175938 0.398705495 0 0.9725835188 0.173502240
## 1478 5 13 14 20.1112544 0.402804654 0 0.9657748109 0.130974546
## 1479 5 13 14 20.2071754 0.430516485 0 0.9610175521 0.150917472
## 1480 5 13 14 19.0752489 0.473837007 0 0.9666566197 0.112081673
## 1481 5 13 14 15.8564955 0.458964739 0 0.9697032610 0.123955744
## 1482 5 13 14 18.6736894 0.442491888 0 0.9689876458 0.139732567
## 1483 5 13 14 19.4494579 0.410911679 0 0.9638330763 0.153776835
## 1484 5 13 14 21.3687432 0.409952497 0 0.9638696913 0.141713513
## 1485 5 13 14 14.5319162 0.427992770 0 0.9657922002 0.124926946
## 1486 5 13 14 15.1032716 0.410343837 0 0.9633276774 0.161089201
## 1487 5 13 14 14.6074301 0.459353720 0 0.9699611527 0.169442949
## 1488 5 13 14 14.5846112 0.480549004 0 0.9674087537 0.152023869
## 1489 5 13 14 12.5600540 0.453186267 0 0.9688977809 0.163960681
## 1490 5 13 14 13.8209366 0.459005258 0 0.9616825797 0.182675361
## 1491 5 13 14 14.2651472 0.460520213 0 0.9540902569 0.173820447
## 1492 5 13 14 23.7973671 0.437703006 0 0.9327682878 0.141672974
## 1493 5 13 14 26.2584147 0.431392162 0 0.9073230904 0.132298951
## 1494 5 13 14 25.5451421 0.400997425 0 0.8997145659 0.126262647
## 1495 5 13 14 27.6514632 0.390253715 0 0.8938702307 0.099082026
## 1496 5 13 14 24.8504096 0.423425736 0 0.9060901194 0.086754370
## 1497 5 13 14 27.1027704 0.432596899 0 0.9094366306 0.090516369
## 1498 5 13 14 27.5653961 0.407208862 0 0.9124628018 0.081734197
## 1499 5 13 14 28.3979478 0.404885537 0 0.9230534895 0.063864863
## 1500 5 13 14 28.1270260 0.424870601 0 0.9301509424 0.060447331
## 1501 5 13 14 31.5203329 0.405520998 0 0.9344705990 0.067760819
## 1502 5 13 14 30.1242632 0.442279211 0 0.9348724739 0.065395288
## 1503 5 13 14 28.9996551 0.406530868 0 0.9315980854 0.064002135
## 1504 5 13 14 30.1407923 0.375795158 0 0.9319626303 0.057919711
## 1505 5 13 14 27.9045720 0.364528338 0 0.9361322406 0.067308091
## 1506 5 13 14 29.4946243 0.365706959 0 0.9337556145 0.076888470
## 1507 5 13 14 30.5414063 0.337283995 0 0.9302368318 0.080201049
## 1508 5 13 14 31.3850027 0.339255351 0 0.9356022570 0.076540067
## 1509 5 13 14 31.3850027 0.339255351 0 0.9356022570 0.076540067
## 1510 5 13 14 37.3522557 0.292972943 0 0.9447549717 0.069230731
## 1511 5 13 14 36.4480684 0.311629842 0 0.9377530285 0.073080774
## 1512 5 13 14 39.7280496 0.361583689 0 0.9472980236 0.087281711
## 1513 5 13 14 52.8845595 0.353308322 0 0.9362336670 0.075462515
## 1514 5 13 14 61.5396722 0.393815331 0 0.9281098358 0.074052949
## 1515 5 13 14 74.7877136 0.375498115 0 0.9308621699 0.078679412
## 1516 5 13 14 74.3649335 0.337986674 0 0.9501936069 0.094682111
## 1517 5 13 14 82.5665355 0.285281591 0 0.9374166530 0.104470956
## 1518 5 13 14 93.0840155 0.267093746 0 0.9249108773 0.109717881
## 1519 5 13 14 105.4161710 0.327678054 0 0.9190106059 0.146650565
## 1520 5 13 14 120.4737430 0.355916092 0 0.9005394541 0.107405544
## 1521 5 13 14 91.8967667 0.362897594 0 0.8893700636 0.162754912
## 1522 5 13 14 80.3356281 0.335962007 0 0.9093890052 0.115446834
## 1523 5 13 14 114.9357489 0.362351898 0 0.8935730550 0.100329636
## 1524 5 13 14 122.3557283 0.339226474 0 0.8912846655 0.087772170
## 1525 5 13 14 126.8121098 0.330566002 0 0.9121105081 0.089214615
## 1526 5 13 14 114.9455416 0.308163094 0 0.8888811460 0.084676023
## 1527 5 13 14 106.3960922 0.365695749 0 0.8940411407 0.079163259
## 1528 5 13 14 101.5784746 0.405456277 0 0.8708684276 0.071566427
## 1529 5 13 14 115.7560608 0.432167522 0 0.8397355461 0.081821083
## 1530 5 13 14 148.5840218 0.429162510 0 0.8507323210 0.055714926
## 1531 5 13 14 152.1558076 0.476276536 0 0.8609879977 0.061267109
## 1532 5 13 14 173.1954704 0.488598799 0 0.8360232504 0.059121716
## 1533 5 13 14 170.1882506 0.483512761 0 0.8448251111 0.061548701
## 1534 5 13 14 153.5876180 0.482177241 0 0.8304779163 0.062341154
## 1535 5 13 14 168.3762172 0.551472705 0 0.8267049144 0.058702535
## 1536 5 13 14 213.2876309 0.518305754 0 0.8273000552 0.058197085
## 1537 5 13 14 222.6642822 0.501690753 0 0.8280283550 0.058512572
## 1538 5 13 14 222.4421885 0.522693541 0 0.8301537302 0.069223877
## 1539 5 13 14 234.7773524 0.526961805 0 0.8032746873 0.081460749
## 1540 5 13 14 256.3361046 0.579386349 0 0.8010894133 0.070888365
## 1541 5 13 14 300.4762285 0.601824289 0 0.8138359606 0.073683668
## 1542 5 13 14 356.0739909 0.564568384 0 0.8150225020 0.074519609
## 1543 5 13 14 365.6945702 0.555921676 0 0.8134641320 0.074816166
## 1544 5 13 14 361.6059211 0.550049896 0 0.7856970282 0.067751833
## 1545 5 13 14 409.9616064 0.516696107 0 0.7742264134 0.055979930
## 1546 5 13 14 373.6398629 0.530706987 0 0.7877116434 0.063201894
## 1547 5 13 14 306.8826975 0.565246353 0 0.7765698077 0.060093202
## 1548 5 13 14 330.7654533 0.568202168 0 0.7841178737 0.059559535
## 1549 5 13 14 316.8996279 0.521144263 0 0.7827491233 0.057015899
## 1550 5 13 14 367.2774393 0.500614195 0 0.7885172155 0.060244108
## 1551 5 13 14 373.7067215 0.526233266 0 0.7612185571 0.064274682
## 1552 5 13 14 361.9445195 0.566788876 0 0.7322230966 0.064620779
## 1553 5 13 14 359.6539528 0.539326852 0 0.7073358832 0.070439036
## 1554 5 13 14 374.1004671 0.545822281 0 0.7266364585 0.066002075
## 1555 5 13 14 378.5271340 0.520559576 0 0.7605896042 0.060225348
## 1556 5 13 14 375.3658653 0.490174977 0 0.7619077542 0.065621086
## 1557 5 13 14 381.2621267 0.457365081 0 0.7657544210 0.074404899
## 1558 5 13 14 366.0363016 0.438599546 0 0.7769824077 0.085166885
## 1559 5 13 14 385.1613911 0.415478017 0 0.7627530717 0.084742048
## 1560 5 13 14 385.1613911 0.415478017 0 0.7627530717 0.084742048
## 1561 5 13 14 7.7986482 0.360960369 0 0.9071325294 0.668428356
## 1562 5 13 14 7.7986482 0.360960369 0 0.9071325294 0.668428356
## 1563 5 13 14 3.7746377 0.291341183 0 0.8907371677 0.651188472
## 1564 5 13 14 3.2256092 0.222786235 0 0.8813963936 0.631601378
## 1565 5 13 14 3.6366321 0.194551928 0 0.9090696655 0.613101912
## 1566 5 13 14 4.6499389 0.143531650 0 0.8452604534 0.639872701
## 1567 5 13 14 4.7287825 0.140300880 0 0.8535177243 0.638128830
## 1568 5 13 14 4.8995564 0.134470365 0 0.8692154189 0.637460813
## 1569 5 13 14 4.8047820 0.138717387 0 0.8710231243 0.616903559
## 1570 5 13 14 4.4884292 0.143904240 0 0.8788920720 0.628787444
## 1571 5 13 14 4.5986130 0.139743193 0 0.8711497424 0.633220145
## 1572 5 13 14 4.1787091 0.145202538 0 0.8790109275 0.663112672
## 1573 5 13 14 3.6665472 0.152946197 0 0.8714398256 0.731780957
## 1574 5 13 14 3.8396478 0.148616546 0 0.8924412347 0.702615429
## 1575 5 13 14 4.0564218 0.143909789 0 0.9092425016 0.683165385
## 1576 5 13 14 3.9756061 0.146306890 0 0.9067748056 0.690937377
## 1577 5 13 14 3.8844145 0.146950365 0 0.9122422323 0.692652255
## 1578 5 13 14 3.9901438 0.145618122 0 0.9231939769 0.676780670
## 1579 5 13 14 4.0191185 0.142915710 0 0.9313231877 0.678796524
## 1580 5 13 14 3.9077080 0.144741046 0 0.9292709303 0.690944307
## 1581 5 13 14 3.8552362 0.143240487 0 0.9258429757 0.705253857
## 1582 5 13 14 3.8821220 0.144543662 0 0.9268577201 0.694021228
## 1583 5 13 14 4.0441991 0.140314515 0 0.9232589987 0.683047783
## 1584 5 13 14 4.0504969 0.140461739 0 0.9229871523 0.685081407
## 1585 5 13 14 4.0860155 0.140178963 0 0.9249343083 0.684646000
## 1586 5 13 14 3.9915834 0.141948839 0 0.9275507952 0.691997638
## 1587 5 13 14 3.8957799 0.143139041 0 0.9284037870 0.698519878
## 1588 5 13 14 3.9299120 0.141149848 0 0.9326828501 0.701267405
## 1589 5 13 14 3.8740574 0.141174739 0 0.9329283917 0.711492144
## 1590 5 13 14 3.8487423 0.142436531 0 0.9353744348 0.710136274
## 1591 5 13 14 3.7044136 0.143806531 0 0.9442570882 0.722007425
## 1592 5 13 14 3.7342877 0.140182232 0 0.9505121207 0.736770779
## 1593 5 13 14 3.6565741 0.143253316 0 0.9453595921 0.735472690
## 1594 5 13 14 3.7118655 0.141477960 0 0.9535887872 0.742949398
## 1595 5 13 14 3.7183762 0.140210028 0 0.9534253922 0.741534916
## 1596 5 13 14 3.8098977 0.138203728 0 0.9471668571 0.737019948
## 1597 5 13 14 3.7469465 0.137553434 0 0.9489182443 0.752232180
## 1598 5 13 14 3.7412074 0.136346969 0 0.9470754279 0.760518803
## 1599 5 13 14 3.7771980 0.133973795 0 0.9492873099 0.760317862
## 1600 5 13 14 3.6102425 0.136683672 0 0.9500407149 0.778830545
## 1601 5 13 14 3.6883117 0.136688682 0 0.9513168221 0.769632868
## 1602 5 13 14 3.6320546 0.135365621 0 0.9502919629 0.783002195
## 1603 5 13 14 3.6440244 0.134401474 0 0.9483310154 0.781709690
## 1604 5 13 14 3.5817099 0.135923319 0 0.9488009720 0.782458734
## 1605 5 13 14 3.4459555 0.138807559 0 0.9523004595 0.797544128
## 1606 5 13 14 3.5488017 0.136378679 0 0.9550223480 0.780824107
## 1607 5 13 14 3.5938326 0.135283817 0 0.9537620315 0.777739931
## 1608 5 13 14 3.5523760 0.136162267 0 0.9539916445 0.779514099
## 1609 5 13 14 3.5562199 0.137084671 0 0.9540090145 0.776782612
## 1610 5 13 14 3.4730029 0.136485156 0 0.9520529092 0.792546546
## 1611 5 13 14 3.4291949 0.138094582 0 0.9518214191 0.795204860
## 1612 5 13 14 3.4524970 0.135960299 0 0.9499780899 0.803056013
## 1613 5 13 14 3.4524970 0.135960299 0 0.9499780899 0.803056013
## 1614 5 13 14 3.4811591 0.138974823 0 0.9507669141 0.800893666
## 1615 5 13 14 3.4022196 0.142402348 0 0.9510297092 0.802187100
## 1616 5 13 14 3.3171558 0.146837724 0 0.9503254302 0.802882124
## 1617 5 13 14 3.3403802 0.145990340 0 0.9506183219 0.799241500
## 1618 5 13 14 3.3484045 0.143781457 0 0.9564954405 0.807439000
## 1619 5 13 14 3.3238576 0.144706480 0 0.9591620810 0.812926310
## 1620 5 13 14 3.2380182 0.146858837 0 0.9613783997 0.820204525
## 1621 5 13 14 3.3094382 0.142299753 0 0.9576081452 0.823139318
## 1622 5 13 14 3.2360591 0.144741802 0 0.9577403515 0.824870948
## 1623 5 13 14 3.2589997 0.145013475 0 0.9597362551 0.831229060
## 1624 5 13 14 3.1840692 0.146887873 0 0.9584068924 0.839271879
## 1625 5 13 14 3.3122349 0.146089952 0 0.9467284119 0.808008517
## 1626 5 13 14 3.3029329 0.146570391 0 0.9383735918 0.799819563
## 1627 5 13 14 3.4068301 0.142857302 0 0.9348081276 0.801103345
## 1628 5 13 14 3.3811950 0.143544360 0 0.9325254435 0.794960275
## 1629 5 13 14 3.5077769 0.141096517 0 0.9333268043 0.776401245
## 1630 5 13 14 3.4781503 0.142451665 0 0.9319984610 0.771915547
## 1631 5 13 14 3.4190656 0.143182663 0 0.9279305278 0.782762257
## 1632 5 13 14 3.5189281 0.140971937 0 0.9263950414 0.771886332
## 1633 5 13 14 3.5202850 0.140221846 0 0.9242040045 0.783829333
## 1634 5 13 14 3.4106168 0.144221097 0 0.9172690746 0.790221360
## 1635 5 13 14 3.4032894 0.142767390 0 0.9112536978 0.794660075
## 1636 5 13 14 3.4365054 0.142080868 0 0.9193870450 0.793940378
## 1637 5 13 14 3.5448069 0.140402102 0 0.9028430102 0.787331248
## 1638 5 13 14 3.3774664 0.143067456 0 0.9185861083 0.809226477
## 1639 5 13 14 3.2992812 0.142883884 0 0.9268410303 0.817190218
## 1640 5 13 14 3.2484941 0.144519434 0 0.9227220270 0.823922544
## 1641 5 13 14 3.2174281 0.145207710 0 0.9306645675 0.818765608
## 1642 5 13 14 3.2157510 0.145396621 0 0.9316082024 0.816915008
## 1643 5 13 14 3.2108407 0.145632468 0 0.9358580853 0.815940075
## 1644 5 13 14 3.1910461 0.145012472 0 0.9431114821 0.815347947
## 1645 5 13 14 3.1429519 0.146376055 0 0.9406003779 0.825124080
## 1646 5 13 14 3.1731622 0.144434942 0 0.9409869303 0.825065526
## 1647 5 13 14 3.2183013 0.142902654 0 0.9458655413 0.822451840
## 1648 5 13 14 3.2371713 0.143981916 0 0.9433581474 0.813812997
## 1649 5 13 14 3.2048575 0.145477536 0 0.9353260884 0.818198879
## 1650 5 13 14 3.2096237 0.147117573 0 0.9297612888 0.809438867
## 1651 5 13 14 3.2122706 0.144874596 0 0.9281734227 0.813820093
## 1652 5 13 14 3.2359806 0.143126883 0 0.9320803019 0.816589165
## 1653 5 13 14 3.2336575 0.144168175 0 0.9275906538 0.810819511
## 1654 5 13 14 3.2062232 0.144500849 0 0.9268636253 0.815793974
## 1655 5 13 14 3.2143343 0.144339751 0 0.9270169420 0.812092328
## 1656 5 13 14 3.2191360 0.145514022 0 0.9305437826 0.807446784
## 1657 5 13 14 3.2301393 0.144809364 0 0.9325011282 0.804188729
## 1658 5 13 14 3.2723320 0.141902425 0 0.9340667843 0.808726036
## 1659 5 13 14 3.2340201 0.143646875 0 0.9383403918 0.806825302
## 1660 5 13 14 3.2400171 0.143958780 0 0.9381013667 0.804504067
## 1661 5 13 14 3.2391174 0.143543669 0 0.9407300958 0.808872892
## 1662 5 13 14 3.2601919 0.142530114 0 0.9435068408 0.806227408
## 1663 5 13 14 3.1975241 0.144088412 0 0.9445273656 0.813584966
## 1664 5 13 14 3.1975241 0.144088412 0 0.9445273656 0.813584966
## 1665 5 13 14 5.1262480 0.804743888 0 0.8567716960 0.753391113
## 1666 5 13 14 5.1262480 0.804743888 0 0.8567716960 0.753391113
## 1667 5 13 14 5.1089315 0.831478054 0 0.8197747497 0.752867352
## 1668 5 13 14 3.7040152 0.815315124 0 0.8196443267 0.733953059
## 1669 5 13 14 2.2011860 0.799977953 0 0.8180704097 0.746296171
## 1670 5 13 14 1.4991711 0.720523507 0 0.8577467605 0.691997382
## 1671 5 13 14 1.6309426 0.703665509 0 0.8764184248 0.659102640
## 1672 5 13 14 1.5384866 0.619232082 0 0.8976234698 0.710020804
## 1673 5 13 14 1.4863926 0.489932524 0 0.8989262632 0.668617553
## 1674 5 13 14 2.1951784 0.362937528 0 0.9003440315 0.627139121
## 1675 5 13 14 2.1260515 0.261574801 0 0.9049168848 0.730003862
## 1676 5 13 14 1.9999645 0.278099498 0 0.9007765800 0.740473423
## 1677 5 13 14 2.3165751 0.228836533 0 0.8802266837 0.758925475
## 1678 5 13 14 2.5579085 0.208614365 0 0.8798257090 0.756474763
## 1679 5 13 14 2.5206008 0.211291161 0 0.8809866639 0.758366771
## 1680 5 13 14 2.6885918 0.203916305 0 0.8771553486 0.732478335
## 1681 5 13 14 2.6007339 0.203763551 0 0.8911203588 0.736842681
## 1682 5 13 14 2.8078112 0.201757960 0 0.8890001251 0.682011513
## 1683 5 13 14 3.2294311 0.186364962 0 0.8808938753 0.637399592
## 1684 5 13 14 3.4201814 0.180475384 0 0.8866968440 0.620292601
## 1685 5 13 14 3.5078486 0.176368481 0 0.8816377625 0.620241886
## 1686 5 13 14 3.4426530 0.178717089 0 0.8912958378 0.621074126
## 1687 5 13 14 3.3447478 0.179983398 0 0.8915501883 0.630764440
## 1688 5 13 14 3.4154426 0.177956247 0 0.9029269093 0.636171799
## 1689 5 13 14 3.3252603 0.180566832 0 0.9119379311 0.631987330
## 1690 5 13 14 3.5380759 0.171008981 0 0.9078937526 0.638523610
## 1691 5 13 14 3.4191156 0.178675419 0 0.9192481594 0.633400626
## 1692 5 13 14 3.4008956 0.179205528 0 0.9293028986 0.636845323
## 1693 5 13 14 3.3223134 0.180973757 0 0.9405107015 0.640976664
## 1694 5 13 14 3.4033830 0.177279662 0 0.9336993425 0.628159945
## 1695 5 13 14 3.4563597 0.175806574 0 0.9269984725 0.623225895
## 1696 5 13 14 3.4849396 0.175975435 0 0.9297116097 0.615364256
## 1697 5 13 14 3.4830547 0.176947212 0 0.9308514170 0.614846059
## 1698 5 13 14 3.4703055 0.176432461 0 0.9208007775 0.611097107
## 1699 5 13 14 3.3417825 0.178244710 0 0.9214722596 0.627978781
## 1700 5 13 14 3.3677963 0.180505931 0 0.9220910303 0.619447459
## 1701 5 13 14 3.7400048 0.169710326 0 0.9122722833 0.601115546
## 1702 5 13 14 3.7458806 0.170859202 0 0.9232665635 0.588786675
## 1703 5 13 14 3.8812191 0.169920097 0 0.9073849125 0.576394200
## 1704 5 13 14 3.8874092 0.169945570 0 0.8974982016 0.575278157
## 1705 5 13 14 3.9217449 0.172260065 0 0.8819993273 0.555243723
## 1706 5 13 14 3.9737405 0.169520127 0 0.8893717047 0.559881629
## 1707 5 13 14 4.0020743 0.168343022 0 0.8914791480 0.558785751
## 1708 5 13 14 3.6504283 0.175688549 0 0.8892939417 0.588314725
## 1709 5 13 14 3.6342465 0.175244202 0 0.8916093308 0.595914301
## 1710 5 13 14 3.3283068 0.180042076 0 0.8791344004 0.636156001
## 1711 5 13 14 3.1526688 0.186097050 0 0.8816786171 0.648674722
## 1712 5 13 14 3.2039622 0.186776594 0 0.8799221051 0.633319281
## 1713 5 13 14 3.1138347 0.189538748 0 0.8777479425 0.637979146
## 1714 5 13 14 3.0251586 0.190976057 0 0.8823873045 0.655742466
## 1715 5 13 14 2.9948598 0.191297499 0 0.8820242977 0.655822200
## 1716 5 13 14 3.2627659 0.183989387 0 0.8952662784 0.615410068
## 1717 5 13 14 3.2627659 0.183989387 0 0.8952662784 0.615410068
## 1718 5 13 14 3.3690816 0.183159215 0 0.8951077481 0.616544860
## 1719 5 13 14 3.1640476 0.197591563 0 0.8996739477 0.604065581
## 1720 5 13 14 3.3271355 0.191250719 0 0.9012729370 0.595683977
## 1721 5 13 14 3.1933288 0.193822568 0 0.9079623739 0.610591666
## 1722 5 13 14 3.3379630 0.188365637 0 0.9092379300 0.589034192
## 1723 5 13 14 3.3118745 0.190621470 0 0.9059376352 0.594115178
## 1724 5 13 14 3.3706102 0.191160302 0 0.9067692746 0.568991037
## 1725 5 13 14 3.7009661 0.183926321 0 0.9137305168 0.535936522
## 1726 5 13 14 3.5039663 0.187506691 0 0.9088177968 0.572983770
## 1727 5 13 14 2.9237319 0.205507825 0 0.9009421025 0.621077520
## 1728 5 13 14 3.1940303 0.192096235 0 0.9104460364 0.594455835
## 1729 5 13 14 3.4104306 0.188015211 0 0.9207075274 0.567702811
## 1730 5 13 14 3.1053909 0.200574541 0 0.9357143967 0.579151465
## 1731 5 13 14 3.2961730 0.185567925 0 0.9395955771 0.584001003
## 1732 5 13 14 3.1439369 0.188472861 0 0.9249268604 0.614943608
## 1733 5 13 14 3.2477561 0.189315919 0 0.9373026872 0.582987102
## 1734 5 13 14 3.4832223 0.185586525 0 0.9443668311 0.553077087
## 1735 5 13 14 3.3759087 0.193065772 0 0.9486650241 0.542667111
## 1736 5 13 14 3.4036713 0.189689542 0 0.9536659425 0.544501502
## 1737 5 13 14 3.7924467 0.178980559 0 0.9552975980 0.510691962
## 1738 5 13 14 4.1529639 0.173244726 0 0.9418039417 0.485283920
## 1739 5 13 14 4.1039846 0.171446617 0 0.9441862730 0.498546371
## 1740 5 13 14 3.7428122 0.179776089 0 0.9508449716 0.519838068
## 1741 5 13 14 3.8829893 0.180426095 0 0.9452146111 0.497518532
## 1742 5 13 14 3.6808982 0.177680508 0 0.9492947693 0.536980261
## 1743 5 13 14 3.6685653 0.182460690 0 0.9405984897 0.523792098
## 1744 5 13 14 3.4243452 0.185690532 0 0.9188433592 0.561373116
## 1745 5 13 14 3.1443907 0.194504601 0 0.9129092856 0.582653909
## 1746 5 13 14 3.1795430 0.194999970 0 0.9103044960 0.576922972
## 1747 5 13 14 3.4785166 0.184746287 0 0.9121666513 0.556026999
## 1748 5 13 14 3.6383945 0.179785996 0 0.9155720133 0.541071784
## 1749 5 13 14 3.8109230 0.176993694 0 0.9215155806 0.525793689
## 1750 5 13 14 3.8937759 0.178430564 0 0.9156363766 0.501487116
## 1751 5 13 14 3.6396115 0.180386535 0 0.9140410958 0.539963165
## 1752 5 13 14 3.8432200 0.176627869 0 0.9155753063 0.518416364
## 1753 5 13 14 4.0958588 0.171720877 0 0.9159169279 0.496973769
## 1754 5 13 14 4.1814385 0.169419656 0 0.9181542093 0.491309717
## 1755 5 13 14 4.1237838 0.172945548 0 0.9184533238 0.482945443
## 1756 5 13 14 4.1684629 0.172271686 0 0.9244414146 0.473430427
## 1757 5 13 14 4.2472999 0.169724616 0 0.9244776914 0.477894559
## 1758 5 13 14 4.3179192 0.169098105 0 0.9280969145 0.470419380
## 1759 5 13 14 4.2175355 0.171320302 0 0.9275201412 0.474670525
## 1760 5 13 14 4.1760913 0.169880044 0 0.9326014328 0.481997398
## 1761 5 13 14 4.0964591 0.170581840 0 0.9291340774 0.497471625
## 1762 5 13 14 4.3115282 0.166754797 0 0.9337943934 0.473666051
## 1763 5 13 14 4.2441183 0.168830652 0 0.9352039011 0.474731862
## 1764 5 13 14 4.2084360 0.168992740 0 0.9290514486 0.482373174
## 1765 5 13 14 4.1544086 0.170787577 0 0.9326837628 0.482122019
## 1766 5 13 14 4.2770754 0.167927782 0 0.9293424850 0.482072060
## 1767 5 13 14 4.2252448 0.167605507 0 0.9326537700 0.489254438
## 1768 5 13 14 4.2252448 0.167605507 0 0.9326537700 0.489254438
## 1769 5 13 14 7.8325275 0.363147307 0 0.6311473202 0.347249407
## 1770 5 13 14 7.8325275 0.363147307 0 0.6311473202 0.347249407
## 1771 5 13 14 4.2412303 0.322902151 0 0.6488449550 0.253033538
## 1772 5 13 14 5.1973766 0.310386885 0 0.6115034573 0.279254897
## 1773 5 13 14 5.5257272 0.248395831 0 0.6688085437 0.280361733
## 1774 5 13 14 7.2770202 0.194114073 0 0.6350557218 0.273756258
## 1775 5 13 14 8.6142475 0.156664497 0 0.6700869466 0.293579404
## 1776 5 13 14 9.3778489 0.156862963 0 0.5720374119 0.274043605
## 1777 5 13 14 10.1387762 0.148172387 0 0.5387821139 0.265151771
## 1778 5 13 14 9.4775230 0.150071190 0 0.5640163408 0.282890249
## 1779 5 13 14 8.8443604 0.152031386 0 0.5617585916 0.296408985
## 1780 5 13 14 8.6676518 0.152336823 0 0.5419704406 0.304617251
## 1781 5 13 14 8.3245345 0.155091318 0 0.5381878015 0.312502282
## 1782 5 13 14 7.9207124 0.154865269 0 0.5507023619 0.327964461
## 1783 5 13 14 7.2379272 0.159095411 0 0.5630578709 0.348829936
## 1784 5 13 14 7.4044345 0.156893162 0 0.5519950761 0.347576290
## 1785 5 13 14 7.2868355 0.156587663 0 0.5421292626 0.355656999
## 1786 5 13 14 7.1651942 0.158672786 0 0.5179502398 0.357028452
## 1787 5 13 14 7.4900122 0.155477163 0 0.5042227518 0.345588929
## 1788 5 13 14 7.5377032 0.155376345 0 0.5190783309 0.344204776
## 1789 5 13 14 7.5016660 0.158352201 0 0.5526060180 0.335289929
## 1790 5 13 14 7.8708065 0.155555241 0 0.5438483974 0.326592805
## 1791 5 13 14 7.7082662 0.156751522 0 0.5280487568 0.332092326
## 1792 5 13 14 8.1720332 0.151901525 0 0.4833088305 0.328784204
## 1793 5 13 14 8.0753862 0.153689818 0 0.4651785409 0.332095552
## 1794 5 13 14 8.1956974 0.154364674 0 0.4813426347 0.325402632
## 1795 5 13 14 7.9340506 0.155672377 0 0.4919103665 0.328315037
## 1796 5 13 14 7.7841718 0.154271815 0 0.4751762246 0.339349891
## 1797 5 13 14 7.7672163 0.153640538 0 0.4633495396 0.342256558
## 1798 5 13 14 7.7536813 0.156164962 0 0.4775529656 0.332917435
## 1799 5 13 14 8.2574336 0.151776391 0 0.4929993518 0.320021567
## 1800 5 13 14 7.9809224 0.152690575 0 0.4618196413 0.329666905
## 1801 5 13 14 7.8873605 0.155321569 0 0.4671482513 0.330400682
## 1802 5 13 14 8.1219023 0.151762535 0 0.4673466608 0.328472626
## 1803 5 13 14 8.0167330 0.152012380 0 0.4230897586 0.336946317
## 1804 5 13 14 7.9997417 0.150747895 0 0.4131072047 0.342244049
## 1805 5 13 14 7.6533030 0.156435227 0 0.4221483479 0.344307808
## 1806 5 13 14 7.5472051 0.156003801 0 0.4444707240 0.349628317
## 1807 5 13 14 7.2366263 0.159203449 0 0.4699361551 0.351267199
## 1808 5 13 14 7.3543096 0.158450941 0 0.4691148858 0.345974824
## 1809 5 13 14 7.0880171 0.159302768 0 0.4939590922 0.347743568
## 1810 5 13 14 7.0126013 0.162993073 0 0.4753910684 0.344922324
## 1811 5 13 14 7.4684092 0.154754916 0 0.4559438050 0.341782104
## 1812 5 13 14 7.4353601 0.154814837 0 0.4384607552 0.347518261
## 1813 5 13 14 7.4444971 0.155419414 0 0.4410338964 0.343915823
## 1814 5 13 14 7.2396362 0.158794037 0 0.4579729518 0.341106800
## 1815 5 13 14 7.5051508 0.153679292 0 0.4460560738 0.340705769
## 1816 5 13 14 7.5770477 0.152334403 0 0.4462902967 0.340422096
## 1817 5 13 14 7.1238413 0.158007968 0 0.4925665836 0.345494633
## 1818 5 13 14 6.8602295 0.161268283 0 0.5270784529 0.343931948
## 1819 5 13 14 6.9183914 0.161516441 0 0.5434228459 0.339249001
## 1820 5 13 14 6.9168078 0.160840769 0 0.5458369245 0.340325530
## 1821 5 13 14 6.9168078 0.160840769 0 0.5458369245 0.340325530
## 1822 5 13 14 6.8856455 0.165291825 0 0.5449811945 0.342537812
## 1823 5 13 14 6.7029497 0.171983449 0 0.5485362512 0.337385938
## 1824 5 13 14 7.6456527 0.163384202 0 0.5282141907 0.311257150
## 1825 5 13 14 7.3641690 0.166554113 0 0.5303613681 0.316528876
## 1826 5 13 14 6.9796893 0.171886248 0 0.5373451223 0.323255373
## 1827 5 13 14 7.0209035 0.167934985 0 0.5368390550 0.333208263
## 1828 5 13 14 7.0428798 0.167207228 0 0.5238111056 0.331865644
## 1829 5 13 14 7.1883957 0.167093240 0 0.5210519041 0.324294926
## 1830 5 13 14 7.2327062 0.163375158 0 0.5158189316 0.329952850
## 1831 5 13 14 6.8303752 0.171771978 0 0.5213841056 0.334688012
## 1832 5 13 14 6.6880218 0.174807414 0 0.5143692079 0.328145338
## 1833 5 13 14 6.8984150 0.170443823 0 0.5270788052 0.328910580
## 1834 5 13 14 7.0590826 0.169938798 0 0.5672699122 0.316892536
## 1835 5 13 14 6.7555880 0.174154141 0 0.5784901185 0.318136752
## 1836 5 13 14 6.6650324 0.173321799 0 0.6021440216 0.322537571
## 1837 5 13 14 6.3678557 0.178985360 0 0.6239752937 0.320763904
## 1838 5 13 14 6.2376376 0.180384791 0 0.6411683663 0.324166716
## 1839 5 13 14 6.2989303 0.177974544 0 0.6582248410 0.321452361
## 1840 5 13 14 6.2339166 0.177516011 0 0.6693949249 0.325869475
## 1841 5 13 14 6.2686880 0.182389033 0 0.6646032259 0.314490894
## 1842 5 13 14 6.5143992 0.176133257 0 0.6561572686 0.312517435
## 1843 5 13 14 6.2608706 0.178458777 0 0.6685349194 0.325049325
## 1844 5 13 14 6.0676936 0.181268202 0 0.6618355146 0.328976753
## 1845 5 13 14 6.3395039 0.175928401 0 0.6631344024 0.323410266
## 1846 5 13 14 6.1727565 0.178991763 0 0.6629805624 0.323381967
## 1847 5 13 14 6.1857899 0.179512098 0 0.6791528844 0.322795350
## 1848 5 13 14 6.0684370 0.181757974 0 0.7016589838 0.319808626
## 1849 5 13 14 5.6238127 0.190949928 0 0.7150421753 0.327749073
## 1850 5 13 14 5.9222812 0.185779941 0 0.7136847981 0.316681085
## 1851 5 13 14 5.8890114 0.186068033 0 0.7214123411 0.314110994
## 1852 5 13 14 5.9358689 0.188084091 0 0.7284190578 0.303212044
## 1853 5 13 14 6.1229295 0.184636932 0 0.7363244371 0.296624599
## 1854 5 13 14 6.0569574 0.182627629 0 0.7328710988 0.307794284
## 1855 5 13 14 6.3385462 0.178758646 0 0.7315869141 0.299794104
## 1856 5 13 14 6.2672520 0.180525521 0 0.7304809626 0.299359610
## 1857 5 13 14 6.7786962 0.178306491 0 0.7073701336 0.283160875
## 1858 5 13 14 6.7642584 0.177378340 0 0.7275587790 0.283029776
## 1859 5 13 14 6.3694438 0.181167697 0 0.7472960527 0.292729343
## 1860 5 13 14 6.5017863 0.181254674 0 0.7595533434 0.285790025
## 1861 5 13 14 6.4634876 0.179426808 0 0.7526581421 0.287762141
## 1862 5 13 14 6.5238907 0.179105505 0 0.7632890135 0.283621457
## 1863 5 13 14 6.7447739 0.177489703 0 0.7623266315 0.273040981
## 1864 5 13 14 6.6381423 0.179666245 0 0.7783629145 0.272071497
## 1865 5 13 14 6.3440335 0.182747974 0 0.7918999775 0.276937565
## 1866 5 13 14 6.3965050 0.181324006 0 0.7913491007 0.277631206
## 1867 5 13 14 6.3637208 0.181883810 0 0.7945667388 0.275086657
## 1868 5 13 14 6.2267105 0.183227315 0 0.7936659235 0.281517553
## 1869 5 13 14 6.2473144 0.182026844 0 0.7901406487 0.283619713
## 1870 5 13 14 6.2520868 0.180737382 0 0.7914964006 0.286209731
## 1871 5 13 14 6.0647934 0.182303214 0 0.7918401737 0.294388925
## 1872 5 13 14 6.0647934 0.182303214 0 0.7918401737 0.294388925
## 1873 5 13 14 5.6582728 0.804830756 0 0.0084162058 0.184274282
## 1874 5 13 14 5.6582728 0.804830756 0 0.0084162058 0.184274282
## 1875 5 13 14 6.7201144 0.792840209 0 0.0079618954 0.288605127
## 1876 5 13 14 9.6926482 0.762803621 0 0.0062184413 0.305861348
## 1877 5 13 14 10.8618262 0.779792155 0 0.0060168501 0.293387921
## 1878 5 13 14 9.9780293 0.737978541 0 0.0052340783 0.261987474
## 1879 5 13 14 8.8477078 0.694708604 0 0.0061267169 0.299673383
## 1880 5 13 14 9.3264514 0.675487650 0 0.0062467966 0.342061995
## 1881 5 13 14 10.1686535 0.612896230 0 0.0073949684 0.341209919
## 1882 5 13 14 17.8145474 0.746764208 0 0.0042474745 0.310925673
## 1883 5 13 14 22.5989259 0.765686248 0 0.0040273424 0.280700355
## 1884 5 13 14 26.3645694 0.705808374 0 0.0036182686 0.280508119
## 1885 5 13 14 27.2564721 0.668393788 0 0.0036841897 0.263422861
## 1886 5 13 14 25.3098932 0.736152963 0 0.0047570295 0.259672807
## 1887 5 13 14 30.4679877 0.672316224 0 0.0038791999 0.250205387
## 1888 5 13 14 35.1021113 0.667313660 0 0.0032900917 0.218956924
## 1889 5 13 14 36.6360201 0.635266710 0 0.0030101011 0.232702519
## 1890 5 13 14 37.6596399 0.571180875 0 0.0027599746 0.229732418
## 1891 5 13 14 42.3467081 0.546214983 0 0.0033220998 0.220868896
## 1892 5 13 14 41.3212445 0.561740790 0 0.0038669055 0.200681857
## 1893 5 13 14 46.8597837 0.462561743 0 0.0030366276 0.201606372
## 1894 5 13 14 51.2691591 0.464038549 0 0.0027643763 0.188900679
## 1895 5 13 14 52.2814596 0.447811086 0 0.0032415228 0.182022512
## 1896 5 13 14 61.4251646 0.418930515 0 0.0029679957 0.168615242
## 1897 5 13 14 57.6919845 0.371496559 0 0.0034564485 0.175091335
## 1898 5 13 14 67.7722314 0.325786987 0 0.0040929146 0.190113755
## 1899 5 13 14 65.0295569 0.320885110 0 0.0043847665 0.172828890
## 1900 5 13 14 84.1902840 0.223740817 0 0.0050557105 0.182535451
## 1901 5 13 14 95.2665790 0.184447769 0 0.0050208998 0.168866302
## 1902 5 13 14 99.1420241 0.168831418 0 0.0051654631 0.161952801
## 1903 5 13 14 103.9021678 0.161764863 0 0.0041529792 0.151363149
## 1904 5 13 14 104.1519635 0.154725218 0 0.0041466200 0.146713374
## 1905 5 13 14 111.4667722 0.139388720 0 0.0033371627 0.138912879
## 1906 5 13 14 121.6083600 0.123965957 0 0.0033639288 0.138350319
## 1907 5 13 14 118.4871746 0.106086343 0 0.0028950784 0.137265279
## 1908 5 13 14 127.0897922 0.089567825 0 0.0033593260 0.129214098
## 1909 5 13 14 136.5277739 0.090159529 0 0.0035022883 0.121573285
## 1910 5 13 14 133.1446264 0.084713808 0 0.0034670776 0.117289981
## 1911 5 13 14 125.4560728 0.062511288 0 0.0034829899 0.122868683
## 1912 5 13 14 118.6050492 0.057780696 0 0.0032417428 0.119942157
## 1913 5 13 14 119.8109405 0.049544733 0 0.0033924878 0.126712193
## 1914 5 13 14 116.0278053 0.044700783 0 0.0031706021 0.121230563
## 1915 5 13 14 115.7810198 0.041251403 0 0.0028053607 0.131629242
## 1916 5 13 14 114.8445447 0.039934460 0 0.0027283881 0.135947067
## 1917 5 13 14 110.5101622 0.042312641 0 0.0024855285 0.132492655
## 1918 5 13 14 108.7813474 0.045289047 0 0.0021442200 0.128237945
## 1919 5 13 14 100.0310514 0.045770271 0 0.0019212445 0.130180914
## 1920 5 13 14 98.4530421 0.045221039 0 0.0020290629 0.132107955
## 1921 5 13 14 99.0583812 0.044452840 0 0.0019412840 0.134351167
## 1922 5 13 14 101.5484450 0.045729779 0 0.0021583177 0.129597105
## 1923 5 13 14 105.5393907 0.046563195 0 0.0023895047 0.124970467
## 1924 5 13 14 112.5933691 0.045964675 0 0.0028760429 0.122493358
## 1925 5 13 14 112.5933691 0.045964675 0 0.0028760429 0.122493358
## 1926 5 13 14 106.0738097 0.048200583 0 0.0029149176 0.124206120
## 1927 5 13 14 95.6977329 0.049716553 0 0.0028068056 0.129396627
## 1928 5 13 14 96.4350883 0.050813759 0 0.0024713071 0.125179246
## 1929 5 13 14 99.9400860 0.049550322 0 0.0024849884 0.123977714
## 1930 5 13 14 103.5513962 0.049152863 0 0.0023792780 0.122145169
## 1931 5 13 14 106.1569430 0.049845985 0 0.0025765393 0.121248189
## 1932 5 13 14 95.5767317 0.055226843 0 0.0027652510 0.115889957
## 1933 5 13 14 96.2966838 0.055584298 0 0.0025931418 0.117684614
## 1934 5 13 14 92.1681111 0.052060496 0 0.0024291299 0.128551560
## 1935 5 13 14 98.3644939 0.048557260 0 0.0023139231 0.127275020
## 1936 5 13 14 93.7997358 0.054036455 0 0.0021863792 0.121742887
## 1937 5 13 14 97.0229095 0.051206776 0 0.0021188014 0.123390735
## 1938 5 13 14 104.4355345 0.050397614 0 0.0024611408 0.117174028
## 1939 5 13 14 98.8883714 0.053235353 0 0.0027036092 0.118360005
## 1940 5 13 14 100.3346450 0.052131989 0 0.0027029749 0.118791745
## 1941 5 13 14 109.1032449 0.051800623 0 0.0021778486 0.112359659
## 1942 5 13 14 109.3216901 0.050379796 0 0.0019536512 0.114841674
## 1943 5 13 14 101.2570896 0.051176817 0 0.0032088774 0.117426128
## 1944 5 13 14 93.5583328 0.054383534 0 0.0034085533 0.118431151
## 1945 5 13 14 98.6428824 0.051693049 0 0.0035346911 0.118958920
## 1946 5 13 14 91.1311907 0.054329550 0 0.0034578839 0.120227409
## 1947 5 13 14 97.6212813 0.053800286 0 0.0032322007 0.116518973
## 1948 5 13 14 96.2495680 0.053445523 0 0.0032339406 0.118156344
## 1949 5 13 14 90.1645596 0.055196057 0 0.0032742303 0.120811084
## 1950 5 13 14 102.8471902 0.054847111 0 0.0034200535 0.111838714
## 1951 5 13 14 95.0968620 0.055931006 0 0.0035540208 0.116675372
## 1952 5 13 14 94.5718163 0.053543488 0 0.0034188477 0.121514666
## 1953 5 13 14 100.3737513 0.053585359 0 0.0034480760 0.117607635
## 1954 5 13 14 94.5105559 0.055235301 0 0.0037274102 0.119153607
## 1955 5 13 14 98.2950923 0.054940679 0 0.0037490643 0.120162254
## 1956 5 13 14 108.3967915 0.053434150 0 0.0040693652 0.113562757
## 1957 5 13 14 109.2602021 0.051318322 0 0.0043852271 0.117107000
## 1958 5 13 14 104.1361379 0.053412146 0 0.0045341157 0.116515186
## 1959 5 13 14 102.6399714 0.054013384 0 0.0046437245 0.118580175
## 1960 5 13 14 106.0279126 0.052710960 0 0.0039815375 0.116625671
## 1961 5 13 14 107.1891406 0.050620297 0 0.0038699056 0.118795973
## 1962 5 13 14 102.3676511 0.051976048 0 0.0038495427 0.120484845
## 1963 5 13 14 102.8995014 0.052530256 0 0.0040236709 0.118338959
## 1964 5 13 14 106.1735051 0.052135694 0 0.0038229687 0.117945481
## 1965 5 13 14 106.0410829 0.051302619 0 0.0037006449 0.119024433
## 1966 5 13 14 100.2563879 0.052258916 0 0.0037852751 0.121088513
## 1967 5 13 14 97.2876808 0.053625311 0 0.0038745313 0.121222655
## 1968 5 13 14 101.3375938 0.052398391 0 0.0038093731 0.120911216
## 1969 5 13 14 109.8937394 0.050996253 0 0.0036927869 0.117438523
## 1970 5 13 14 104.8997480 0.054030802 0 0.0039581201 0.113948996
## 1971 5 13 14 107.9950238 0.054138750 0 0.0037138264 0.111971742
## 1972 5 13 14 107.1737740 0.054774859 0 0.0036868033 0.110919032
## 1973 5 13 14 107.6012878 0.053574962 0 0.0034782349 0.114689056
## 1974 5 13 14 110.9366435 0.054185147 0 0.0032551875 0.109997089
## 1975 5 13 14 109.3198734 0.053975622 0 0.0034314808 0.110737685
## 1976 5 13 14 109.3198734 0.053975622 0 0.0034314808 0.110737685
## 1977 5 13 14 4.1327264 0.272912900 0 0.7373971729 0.642139315
## 1978 5 13 14 4.1327264 0.272912900 0 0.7373971729 0.642139315
## 1979 5 13 14 3.5697224 0.189228104 0 0.7321688318 0.547012019
## 1980 5 13 14 4.1627981 0.153480955 0 0.7874874311 0.668414739
## 1981 5 13 14 5.0058542 0.119022895 0 0.7961925562 0.717240554
## 1982 5 13 14 4.5300548 0.124070069 0 0.7408464366 0.777642107
## 1983 5 13 14 4.1427924 0.135606538 0 0.7356331003 0.792371916
## 1984 5 13 14 4.1196382 0.136686845 0 0.7357004401 0.807380701
## 1985 5 13 14 4.0404722 0.138649341 0 0.7369250890 0.817720264
## 1986 5 13 14 4.0557480 0.137738224 0 0.7418172213 0.825625727
## 1987 5 13 14 3.7640546 0.146350258 0 0.7652189362 0.821781068
## 1988 5 13 14 3.6853854 0.149087536 0 0.7706073837 0.810672893
## 1989 5 13 14 3.7561212 0.144849318 0 0.7625951753 0.812782424
## 1990 5 13 14 3.6766967 0.149569388 0 0.7436813437 0.813616056
## 1991 5 13 14 3.8579062 0.147964760 0 0.7640093722 0.783279775
## 1992 5 13 14 3.8944529 0.142191233 0 0.7355438449 0.788616505
## 1993 5 13 14 3.7501387 0.143766603 0 0.7401377812 0.802589503
## 1994 5 13 14 3.6891351 0.141710657 0 0.7224151126 0.839978342
## 1995 5 13 14 3.5832823 0.145091725 0 0.7361463334 0.845116027
## 1996 5 13 14 3.5465010 0.145762348 0 0.7477123470 0.840398314
## 1997 5 13 14 3.5546491 0.144682066 0 0.7691296847 0.844499588
## 1998 5 13 14 3.4060364 0.147776087 0 0.7385537511 0.854992547
## 1999 5 13 14 3.5038212 0.144459340 0 0.7321201524 0.863431507
## 2000 5 13 14 3.3599357 0.146380096 0 0.7403479943 0.865298922
## 2001 5 13 14 3.3336121 0.146133204 0 0.7608882148 0.877309536
## 2002 5 13 14 3.3384725 0.145604950 0 0.7482788576 0.883711868
## 2003 5 13 14 3.2452508 0.148331054 0 0.7516558789 0.886018505
## 2004 5 13 14 3.2478414 0.148089760 0 0.7355420262 0.890870531
## 2005 5 13 14 3.2052244 0.146648234 0 0.7343576471 0.899015166
## 2006 5 13 14 3.3396634 0.140920031 0 0.7300056593 0.902570946
## 2007 5 13 14 3.2577237 0.143900620 0 0.7235487045 0.902046432
## 2008 5 13 14 3.2652488 0.142496034 0 0.7239279855 0.903211824
## 2009 5 13 14 3.2009377 0.145067667 0 0.7419614051 0.899936710
## 2010 5 13 14 3.2986052 0.142440383 0 0.7406181790 0.891290152
## 2011 5 13 14 3.2453599 0.144186839 0 0.7430621053 0.891517771
## 2012 5 13 14 3.2794335 0.142228417 0 0.7423530941 0.892787584
## 2013 5 13 14 3.2368369 0.142913371 0 0.7417956276 0.900033181
## 2014 5 13 14 3.1946379 0.143523851 0 0.7440433748 0.901558712
## 2015 5 13 14 3.1505464 0.143910014 0 0.7564284800 0.902060801
## 2016 5 13 14 3.2293103 0.141622060 0 0.7424272093 0.902334463
## 2017 5 13 14 3.2017584 0.142130996 0 0.7617767903 0.907193967
## 2018 5 13 14 3.1925293 0.142234196 0 0.7619826548 0.907030698
## 2019 5 13 14 3.1962207 0.141571631 0 0.7574183842 0.906663904
## 2020 5 13 14 3.2742304 0.138946300 0 0.7370978823 0.901249136
## 2021 5 13 14 3.2313019 0.141511222 0 0.7409096106 0.898583281
## 2022 5 13 14 3.2864021 0.138850714 0 0.7413556694 0.899760863
## 2023 5 13 14 3.3078868 0.137230055 0 0.7360507862 0.899589311
## 2024 5 13 14 3.3978482 0.135145261 0 0.7198524113 0.895699938
## 2025 5 13 14 3.4039738 0.135555257 0 0.7211972029 0.894116083
## 2026 5 13 14 3.3922256 0.135357392 0 0.7209808004 0.898417609
## 2027 5 13 14 3.4224391 0.133904944 0 0.7148268984 0.896701559
## 2028 5 13 14 3.4495327 0.133412742 0 0.7170863445 0.892477093
## 2029 5 13 14 3.4495327 0.133412742 0 0.7170863445 0.892477093
## 2030 5 13 14 3.4400190 0.137967044 0 0.7139353715 0.892478089
## 2031 5 13 14 3.3741052 0.139716717 0 0.7078505559 0.891326506
## 2032 5 13 14 3.2580645 0.142464838 0 0.6998621580 0.893157828
## 2033 5 13 14 3.4043887 0.137690014 0 0.6900375595 0.893024262
## 2034 5 13 14 3.3358452 0.140377383 0 0.6890033131 0.890111428
## 2035 5 13 14 3.3038871 0.141755279 0 0.6968226992 0.897190320
## 2036 5 13 14 3.2251059 0.143549929 0 0.6820286199 0.904459981
## 2037 5 13 14 3.1779025 0.144778445 0 0.7106527784 0.907264682
## 2038 5 13 14 3.0767491 0.148213880 0 0.7388449912 0.904744141
## 2039 5 13 14 3.0757312 0.147232638 0 0.7437066940 0.915142324
## 2040 5 13 14 3.1548942 0.143199396 0 0.7455675864 0.914093221
## 2041 5 13 14 3.2099173 0.140642434 0 0.7514775666 0.922468040
## 2042 5 13 14 3.2276549 0.139659017 0 0.7499690445 0.924111374
## 2043 5 13 14 3.2735846 0.138159738 0 0.7500154484 0.922048097
## 2044 5 13 14 3.1416187 0.142880787 0 0.7470879759 0.916302157
## 2045 5 13 14 3.1379149 0.141573330 0 0.7434072734 0.910773471
## 2046 5 13 14 3.1628897 0.142105302 0 0.7449479789 0.906032019
## 2047 5 13 14 3.1681478 0.143196573 0 0.7428250152 0.904723443
## 2048 5 13 14 3.1710629 0.142512829 0 0.7546288539 0.904466757
## 2049 5 13 14 3.1557727 0.143466752 0 0.7540128264 0.904753762
## 2050 5 13 14 3.1837964 0.142326315 0 0.7638900156 0.898081832
## 2051 5 13 14 3.1593620 0.142064846 0 0.7907826226 0.901942621
## 2052 5 13 14 3.1514034 0.141378890 0 0.8050980886 0.905224139
## 2053 5 13 14 3.1294439 0.142036225 0 0.8239428613 0.899380988
## 2054 5 13 14 3.0995277 0.143784305 0 0.8353513386 0.891944466
## 2055 5 13 14 3.1323563 0.142404958 0 0.8425008019 0.892048453
## 2056 5 13 14 3.1761240 0.139797378 0 0.8431075157 0.898407905
## 2057 5 13 14 3.1070668 0.142358039 0 0.8516869027 0.893656841
## 2058 5 13 14 3.1618976 0.141029362 0 0.8485660457 0.888863479
## 2059 5 13 14 3.1211869 0.142684307 0 0.8503407433 0.892356980
## 2060 5 13 14 3.1367950 0.141585314 0 0.8611462967 0.888910148
## 2061 5 13 14 3.2195364 0.138151920 0 0.8752912396 0.879760436
## 2062 5 13 14 3.2572505 0.137646154 0 0.8909474547 0.866247552
## 2063 5 13 14 3.2189509 0.138238580 0 0.8930621647 0.868436248
## 2064 5 13 14 3.2626263 0.137988123 0 0.8940357162 0.856975056
## 2065 5 13 14 3.1954523 0.138896735 0 0.8918622676 0.863002728
## 2066 5 13 14 3.2535754 0.136901623 0 0.8853515483 0.869261253
## 2067 5 13 14 3.2497456 0.137935234 0 0.8858298549 0.861046667
## 2068 5 13 14 3.2774777 0.137743778 0 0.8849936453 0.851408841
## 2069 5 13 14 3.3215996 0.136114367 0 0.8899087505 0.850796409
## 2070 5 13 14 3.3088869 0.136402822 0 0.8821973538 0.854071794
## 2071 5 13 14 3.2918903 0.136640062 0 0.8842906596 0.853053539
## 2072 5 13 14 3.3088656 0.137221929 0 0.8848021033 0.843880831
## 2073 5 13 14 3.3207717 0.136381993 0 0.8809038860 0.850476079
## 2074 5 13 14 3.2715233 0.136908628 0 0.8830972967 0.860055580
## 2075 5 13 14 3.2388163 0.137514672 0 0.8876187168 0.865313807
## 2076 5 13 14 3.2152194 0.138327443 0 0.8785817389 0.870715326
## 2077 5 13 14 3.1551077 0.139569307 0 0.8857472290 0.873581573
## 2078 5 13 14 3.1854223 0.139002287 0 0.8870927475 0.871329715
## 2079 5 13 14 3.1530588 0.138921088 0 0.8922408726 0.875845185
## 2080 5 13 14 3.1530588 0.138921088 0 0.8922408726 0.875845185
## 2081 5 13 14 6.2040640 0.473018889 0 0.2250752910 0.588359550
## 2082 5 13 14 6.2040640 0.473018889 0 0.2250752910 0.588359550
## 2083 5 13 14 4.4796315 0.413932398 0 0.2190951692 0.521442531
## 2084 5 13 14 6.8536080 0.421224927 0 0.1946156846 0.516916483
## 2085 5 13 14 5.0144443 0.346455310 0 0.2390277868 0.482090489
## 2086 5 13 14 4.6333170 0.194303310 0 0.2293673764 0.636799130
## 2087 5 13 14 4.6304785 0.159529296 0 0.2361781314 0.678956522
## 2088 5 13 14 5.1544943 0.133189540 0 0.2736202932 0.701913369
## 2089 5 13 14 5.6697272 0.118683128 0 0.2832021285 0.709273897
## 2090 5 13 14 5.9372882 0.115479575 0 0.2864178651 0.694803095
## 2091 5 13 14 5.9045910 0.114910930 0 0.3074072367 0.695943937
## 2092 5 13 14 6.2874842 0.111309747 0 0.2851763667 0.669709518
## 2093 5 13 14 6.5300514 0.110434072 0 0.2739324248 0.649359250
## 2094 5 13 14 5.9658768 0.113696383 0 0.2809535384 0.682564066
## 2095 5 13 14 5.9238073 0.114397001 0 0.2866354327 0.679798718
## 2096 5 13 14 6.2628921 0.111327689 0 0.2758190215 0.661826831
## 2097 5 13 14 6.2287786 0.114116770 0 0.2578981357 0.649645805
## 2098 5 13 14 6.1752136 0.110486187 0 0.2403466937 0.674416546
## 2099 5 13 14 5.8631781 0.114968703 0 0.2473928227 0.678598212
## 2100 5 13 14 5.9175936 0.113748644 0 0.2324766295 0.684817413
## 2101 5 13 14 5.7162750 0.113831672 0 0.1942692431 0.707574326
## 2102 5 13 14 5.4297737 0.116664466 0 0.2213520444 0.711013639
## 2103 5 13 14 5.4460510 0.114330358 0 0.2452200482 0.720463586
## 2104 5 13 14 5.1364002 0.117402495 0 0.2195225569 0.742773403
## 2105 5 13 14 5.0422817 0.117057076 0 0.2153089681 0.754554955
## 2106 5 13 14 4.9523943 0.116880088 0 0.2159362068 0.765962842
## 2107 5 13 14 4.8868456 0.115868497 0 0.2131446307 0.779403010
## 2108 5 13 14 4.8386456 0.115986504 0 0.2058051951 0.786778246
## 2109 5 13 14 4.8778393 0.115710793 0 0.2074757415 0.778661910
## 2110 5 13 14 4.9045133 0.114802370 0 0.1950835979 0.778967466
## 2111 5 13 14 4.7851472 0.114768699 0 0.1977415988 0.797780774
## 2112 5 13 14 4.7783175 0.113350107 0 0.1904122379 0.804183695
## 2113 5 13 14 4.7487417 0.113209065 0 0.2043615043 0.811574171
## 2114 5 13 14 4.6798280 0.112855613 0 0.1927852554 0.822905369
## 2115 5 13 14 4.6887145 0.111914875 0 0.2066105046 0.827008065
## 2116 5 13 14 4.7012387 0.112439207 0 0.2061810991 0.826638226
## 2117 5 13 14 4.6030403 0.112982721 0 0.1848357604 0.843655947
## 2118 5 13 14 4.6012122 0.113024630 0 0.1613483229 0.848521645
## 2119 5 13 14 4.5951669 0.113590606 0 0.1730406560 0.839430078
## 2120 5 13 14 4.5810656 0.113173296 0 0.1675332398 0.846720115
## 2121 5 13 14 4.5408891 0.112183657 0 0.1541054016 0.863701871
## 2122 5 13 14 4.5094244 0.114139134 0 0.1494214218 0.861284031
## 2123 5 13 14 4.3590134 0.114987727 0 0.1412398814 0.879443051
## 2124 5 13 14 4.4679505 0.111323260 0 0.1416995008 0.885615469
## 2125 5 13 14 4.5171692 0.109905877 0 0.1375520176 0.878110086
## 2126 5 13 14 4.4731814 0.111899906 0 0.1323163581 0.878863881
## 2127 5 13 14 4.3768011 0.113838877 0 0.1339022951 0.883653449
## 2128 5 13 14 4.3605097 0.113206640 0 0.1309775557 0.888279956
## 2129 5 13 14 4.3762856 0.112382534 0 0.1231006705 0.885473576
## 2130 5 13 14 4.4383571 0.111200323 0 0.1200598149 0.884862394
## 2131 5 13 14 4.3696308 0.112456002 0 0.1203278671 0.886913079
## 2132 5 13 14 4.3796596 0.112655378 0 0.1261169539 0.884985809
## 2133 5 13 14 4.3796596 0.112655378 0 0.1261169539 0.884985809
## 2134 5 13 14 4.3714207 0.116005905 0 0.1259744615 0.884146235
## 2135 5 13 14 4.3825338 0.116376876 0 0.1181868317 0.879396672
## 2136 5 13 14 4.3262237 0.117391788 0 0.1271831075 0.881538004
## 2137 5 13 14 4.4664906 0.111575585 0 0.1314247919 0.885535594
## 2138 5 13 14 4.3860551 0.112687983 0 0.1160693243 0.896480681
## 2139 5 13 14 4.4350854 0.113323273 0 0.1150640567 0.888701640
## 2140 5 13 14 4.3990547 0.113561243 0 0.1105783997 0.892788442
## 2141 5 13 14 4.5174149 0.111928885 0 0.1180761488 0.888984478
## 2142 5 13 14 4.3771627 0.114589015 0 0.1343935460 0.894652538
## 2143 5 13 14 4.3151749 0.113862240 0 0.1614880552 0.915754254
## 2144 5 13 14 4.2221738 0.115644572 0 0.1562638991 0.907798335
## 2145 5 13 14 4.0841936 0.116793664 0 0.1817012126 0.921908469
## 2146 5 13 14 4.1598432 0.114556274 0 0.2127325774 0.925308873
## 2147 5 13 14 4.1361097 0.115431203 0 0.2184850176 0.925231309
## 2148 5 13 14 4.0548260 0.116884038 0 0.2291592508 0.933651942
## 2149 5 13 14 3.9657069 0.117804884 0 0.2410533047 0.938535713
## 2150 5 13 14 3.9198620 0.119410195 0 0.2247325951 0.939718683
## 2151 5 13 14 3.9977191 0.115400471 0 0.2526448485 0.943071305
## 2152 5 13 14 3.9130498 0.117360984 0 0.2583973559 0.943965236
## 2153 5 13 14 3.8966685 0.116884532 0 0.2582763713 0.941449068
## 2154 5 13 14 3.9214379 0.116394609 0 0.2574960018 0.937649954
## 2155 5 13 14 3.9257097 0.115576786 0 0.2690741538 0.937205119
## 2156 5 13 14 3.9232984 0.116725385 0 0.2575606317 0.938158174
## 2157 5 13 14 3.9741358 0.116876029 0 0.2419276137 0.935513519
## 2158 5 13 14 4.0862266 0.114678972 0 0.2410858972 0.929630905
## 2159 5 13 14 4.0391356 0.114674576 0 0.2562501277 0.930744704
## 2160 5 13 14 4.0439189 0.115600539 0 0.2549213125 0.934022317
## 2161 5 13 14 4.0990570 0.114895990 0 0.2479390895 0.929815731
## 2162 5 13 14 4.1319599 0.113932738 0 0.2439403038 0.928072292
## 2163 5 13 14 4.0843093 0.115263500 0 0.2563947045 0.922829243
## 2164 5 13 14 3.9988820 0.116874586 0 0.2661371805 0.929533030
## 2165 5 13 14 4.0734345 0.114504898 0 0.2576625840 0.930817810
## 2166 5 13 14 4.2010607 0.110578666 0 0.2549835809 0.931610424
## 2167 5 13 14 4.2113480 0.111124520 0 0.2418318595 0.927971312
## 2168 5 13 14 4.1561234 0.111681875 0 0.2497984993 0.929663425
## 2169 5 13 14 4.1145569 0.112539582 0 0.2564253408 0.930600162
## 2170 5 13 14 4.1613494 0.111085367 0 0.2548065399 0.934175655
## 2171 5 13 14 4.1338798 0.111900974 0 0.2693367660 0.933977342
## 2172 5 13 14 4.0470918 0.113079696 0 0.2585708320 0.950526409
## 2173 5 13 14 4.0734359 0.112154337 0 0.2682512386 0.952437759
## 2174 5 13 14 3.9529399 0.113738484 0 0.2737232201 0.953319553
## 2175 5 13 14 3.9938597 0.113216708 0 0.2617963018 0.952755555
## 2176 5 13 14 4.0014600 0.112018947 0 0.2753039245 0.953626564
## 2177 5 13 14 3.9859047 0.112175888 0 0.2706831708 0.956222687
## 2178 5 13 14 3.9710909 0.113632697 0 0.2634747656 0.954472673
## 2179 5 13 14 3.9734306 0.113041362 0 0.2594780032 0.955977629
## 2180 5 13 14 4.0404315 0.112195252 0 0.2741021684 0.955716099
## 2181 5 13 14 4.0194609 0.112348778 0 0.2527063049 0.957098929
## 2182 5 13 14 4.0355114 0.112947852 0 0.2584790610 0.955708035
## 2183 5 13 14 4.0645168 0.112324424 0 0.2583127675 0.953561090
## 2184 5 13 14 4.0645168 0.112324424 0 0.2583127675 0.953561090
## 2185 5 13 14 5.7695501 0.477752409 0 0.3583374985 0.320736536
## 2186 5 13 14 5.7695501 0.477752409 0 0.3583374985 0.320736536
## 2187 5 13 14 5.0536554 0.446887603 0 0.3331825217 0.327442153
## 2188 5 13 14 4.8504706 0.336719309 0 0.3033801173 0.300450417
## 2189 5 13 14 5.7977915 0.288699930 0 0.3164686725 0.368375479
## 2190 5 13 14 5.5783368 0.204267406 0 0.2763443544 0.401481940
## 2191 5 13 14 5.4733870 0.181536577 0 0.2642116574 0.473912947
## 2192 5 13 14 7.7468737 0.146477473 0 0.2378677769 0.416606053
## 2193 5 13 14 8.1972614 0.142253898 0 0.2432693364 0.403861282
## 2194 5 13 14 8.1504913 0.142696329 0 0.2660349367 0.392575490
## 2195 5 13 14 8.2154548 0.137474393 0 0.2748537837 0.404610218
## 2196 5 13 14 7.9327477 0.140844119 0 0.2463849587 0.413246832
## 2197 5 13 14 8.4022360 0.137546785 0 0.2222274044 0.397339496
## 2198 5 13 14 8.4348416 0.139357242 0 0.2140706270 0.397425410
## 2199 5 13 14 8.4433578 0.137038925 0 0.2101286485 0.398280209
## 2200 5 13 14 8.2286920 0.135656385 0 0.2006653738 0.413658423
## 2201 5 13 14 8.2799865 0.134517005 0 0.2269022677 0.406919951
## 2202 5 13 14 7.8424669 0.137556633 0 0.2365331801 0.413422524
## 2203 5 13 14 8.4401594 0.131916860 0 0.2627761465 0.397152346
## 2204 5 13 14 8.0898459 0.132156435 0 0.2872969787 0.405306962
## 2205 5 13 14 8.2667222 0.135496825 0 0.2763566805 0.388489522
## 2206 5 13 14 8.1138871 0.133053405 0 0.2863610538 0.401371538
## 2207 5 13 14 7.9765646 0.134670451 0 0.2863489299 0.404479190
## 2208 5 13 14 8.3217942 0.131707097 0 0.2811133259 0.395160676
## 2209 5 13 14 8.2381062 0.130708912 0 0.2925940756 0.398605200
## 2210 5 13 14 7.9808678 0.134097165 0 0.3109279408 0.397941147
## 2211 5 13 14 7.8591666 0.134822556 0 0.3063306955 0.402103622
## 2212 5 13 14 7.6603376 0.134422858 0 0.2835726623 0.415137474
## 2213 5 13 14 7.9824125 0.131109195 0 0.2940292651 0.408490294
## 2214 5 13 14 7.3222731 0.135690769 0 0.2987074883 0.426239712
## 2215 5 13 14 7.1625697 0.136376697 0 0.3065828228 0.433503269
## 2216 5 13 14 6.8167942 0.139355679 0 0.2994700905 0.445731747
## 2217 5 13 14 6.8554011 0.138894836 0 0.3047644311 0.443816649
## 2218 5 13 14 6.9132906 0.137739737 0 0.3197718073 0.439114041
## 2219 5 13 14 6.8430457 0.138926923 0 0.3281679378 0.439259197
## 2220 5 13 14 6.9814712 0.137995827 0 0.3195808101 0.428315978
## 2221 5 13 14 7.4389342 0.133744483 0 0.3066275500 0.418618825
## 2222 5 13 14 7.5359462 0.132072215 0 0.2876320580 0.422114365
## 2223 5 13 14 7.9381871 0.128474275 0 0.2841843369 0.411695609
## 2224 5 13 14 8.3089010 0.126343221 0 0.2793053863 0.402538602
## 2225 5 13 14 8.5979157 0.125134857 0 0.2684234791 0.394174232
## 2226 5 13 14 8.5467246 0.122418243 0 0.2610792427 0.403651028
## 2227 5 13 14 8.5276638 0.123106857 0 0.2447966318 0.407563895
## 2228 5 13 14 8.4954186 0.124676336 0 0.2463054749 0.401935761
## 2229 5 13 14 8.5375020 0.124727193 0 0.2342184305 0.402727195
## 2230 5 13 14 8.2018230 0.125598817 0 0.2302417176 0.414766601
## 2231 5 13 14 8.1615255 0.127209458 0 0.2340527087 0.411554055
## 2232 5 13 14 8.2484813 0.126068340 0 0.2328182415 0.412632208
## 2233 5 13 14 8.0814704 0.126450209 0 0.2288049411 0.421216257
## 2234 5 13 14 8.1856118 0.125262181 0 0.2232228893 0.419027216
## 2235 5 13 14 8.2925918 0.124185679 0 0.2134675544 0.420729583
## 2236 5 13 14 8.4227877 0.121632672 0 0.2089942671 0.421343123
## 2237 5 13 14 8.4227877 0.121632672 0 0.2089942671 0.421343123
## 2238 5 13 14 8.6611553 0.123504032 0 0.2120198581 0.422535168
## 2239 5 13 14 8.1708236 0.131734617 0 0.2157027674 0.419889353
## 2240 5 13 14 8.4033380 0.126142961 0 0.2130791528 0.421683153
## 2241 5 13 14 8.2308310 0.131931789 0 0.2183887984 0.416963170
## 2242 5 13 14 7.9131179 0.131549374 0 0.2171955668 0.429338696
## 2243 5 13 14 7.7911610 0.131720606 0 0.2001925334 0.438768529
## 2244 5 13 14 7.9308469 0.130943858 0 0.1906340359 0.436284801
## 2245 5 13 14 7.9682054 0.127646885 0 0.1653007983 0.449351603
## 2246 5 13 14 7.8197348 0.127203897 0 0.1661110253 0.457197896
## 2247 5 13 14 7.2077026 0.131177123 0 0.1802833852 0.480557164
## 2248 5 13 14 7.6553633 0.128945573 0 0.1786761656 0.458559869
## 2249 5 13 14 7.2341368 0.129939422 0 0.1732661900 0.483063930
## 2250 5 13 14 6.9379457 0.130425317 0 0.1963699431 0.498354692
## 2251 5 13 14 6.9900324 0.131854081 0 0.1939677285 0.490262502
## 2252 5 13 14 6.8264989 0.133138625 0 0.2350653816 0.488622461
## 2253 5 13 14 6.9107172 0.132393845 0 0.2439262363 0.481439495
## 2254 5 13 14 6.7276694 0.132681053 0 0.2681985445 0.489216484
## 2255 5 13 14 6.9508143 0.132497118 0 0.2896978553 0.473886795
## 2256 5 13 14 6.5678919 0.133996385 0 0.3115052883 0.490309861
## 2257 5 13 14 6.7434503 0.133206581 0 0.3081080850 0.478922087
## 2258 5 13 14 6.9499817 0.131985111 0 0.3188363658 0.468046124
## 2259 5 13 14 6.6611318 0.132043607 0 0.3172562168 0.491621928
## 2260 5 13 14 6.1455584 0.135540294 0 0.3209357117 0.518919232
## 2261 5 13 14 6.2895516 0.136133314 0 0.3377526302 0.503278938
## 2262 5 13 14 6.0595628 0.138120359 0 0.3491467362 0.510006179
## 2263 5 13 14 6.1581105 0.135959462 0 0.3518070212 0.506069776
## 2264 5 13 14 6.0644568 0.136511823 0 0.3518492125 0.512573136
## 2265 5 13 14 6.0335192 0.137321982 0 0.3453401230 0.509907496
## 2266 5 13 14 6.1688361 0.136119875 0 0.3624465660 0.501992524
## 2267 5 13 14 6.1939186 0.135588766 0 0.3508136139 0.500273533
## 2268 5 13 14 6.5530998 0.132488044 0 0.3701341108 0.481891767
## 2269 5 13 14 6.3496400 0.133809072 0 0.3115351317 0.502173868
## 2270 5 13 14 6.1569761 0.135521835 0 0.3005771505 0.509450001
## 2271 5 13 14 5.9971455 0.135745445 0 0.2730524953 0.530084693
## 2272 5 13 14 6.1016834 0.135546424 0 0.2797877283 0.524511202
## 2273 5 13 14 5.7875141 0.139083731 0 0.2659345570 0.535228475
## 2274 5 13 14 5.8661267 0.138105060 0 0.2783279414 0.527099528
## 2275 5 13 14 6.0362150 0.134769344 0 0.2629160031 0.522627355
## 2276 5 13 14 6.0225073 0.135354403 0 0.2532575127 0.522246778
## 2277 5 13 14 6.0410932 0.134584280 0 0.2375552327 0.525644827
## 2278 5 13 14 6.1813750 0.134286946 0 0.2461221687 0.512605975
## 2279 5 13 14 6.2589298 0.133488431 0 0.2587734584 0.511257513
## 2280 5 13 14 6.3900504 0.131003849 0 0.2657335949 0.509542702
## 2281 5 13 14 6.3145782 0.132618978 0 0.2774687182 0.510280694
## 2282 5 13 14 6.5119338 0.131084670 0 0.2840933029 0.499280278
## 2283 5 13 14 6.4045398 0.131691674 0 0.2927550857 0.501643782
## 2284 5 13 14 6.4248203 0.131795997 0 0.2821865984 0.501526143
## 2285 5 13 14 6.6015826 0.131973737 0 0.2892942104 0.489086149
## 2286 5 13 14 6.7607216 0.129710655 0 0.2797198363 0.484002084
## 2287 5 13 14 6.8206766 0.129593009 0 0.2728865106 0.481103900
## 2288 5 13 14 6.8206766 0.129593009 0 0.2728865106 0.481103900
## 2289 5 13 14 3.4901425 0.659717348 0 0.4503901187 0.881309986
## 2290 5 13 14 3.4901425 0.659717348 0 0.4503901187 0.881309986
## 2291 5 13 14 2.5860951 0.712643112 0 0.4154836911 0.855546106
## 2292 5 13 14 1.3322538 0.701576596 0 0.3733209242 0.855575091
## 2293 5 13 14 1.1566349 0.618197496 0 0.4424401142 0.850974604
## 2294 5 13 14 1.1280595 0.562834961 0 0.3632590598 0.798922791
## 2295 5 13 14 1.3967217 0.527933406 0 0.3507280086 0.790259104
## 2296 5 13 14 1.2427758 0.457195335 0 0.4428901365 0.842729780
## 2297 5 13 14 1.3390856 0.444976400 0 0.4148902564 0.848920510
## 2298 5 13 14 1.5343175 0.363477344 0 0.4264912783 0.865763135
## 2299 5 13 14 2.1973283 0.242773305 0 0.4112643935 0.839017695
## 2300 5 13 14 2.3812287 0.226653403 0 0.4434055894 0.827670849
## 2301 5 13 14 2.5232705 0.211885675 0 0.4040087996 0.826896113
## 2302 5 13 14 2.3524683 0.221201588 0 0.4494100107 0.845871492
## 2303 5 13 14 2.3018248 0.224675792 0 0.5018630488 0.840198473
## 2304 5 13 14 2.3932974 0.223437911 0 0.5016547638 0.820532036
## 2305 5 13 14 2.4930006 0.218601515 0 0.4960035603 0.792641632
## 2306 5 13 14 2.6361959 0.215124301 0 0.5117700748 0.765043743
## 2307 5 13 14 2.5457002 0.216400268 0 0.5148958644 0.778938645
## 2308 5 13 14 2.5198110 0.220347399 0 0.5410602315 0.773036409
## 2309 5 13 14 2.5938732 0.216292500 0 0.5471027319 0.756932254
## 2310 5 13 14 2.4942118 0.222895928 0 0.5645075242 0.764238691
## 2311 5 13 14 2.5129850 0.217894475 0 0.5938149798 0.760668789
## 2312 5 13 14 2.9296138 0.206062777 0 0.5507064507 0.691200086
## 2313 5 13 14 3.2518249 0.202499818 0 0.5711527364 0.617940345
## 2314 5 13 14 3.3176071 0.198120253 0 0.5634022256 0.615770390
## 2315 5 13 14 3.3238626 0.198319314 0 0.5717826497 0.619411264
## 2316 5 13 14 3.5023890 0.190764564 0 0.5704479863 0.607461299
## 2317 5 13 14 3.5805500 0.187753428 0 0.5956132568 0.595733245
## 2318 5 13 14 3.8988913 0.184360700 0 0.5708981375 0.555557744
## 2319 5 13 14 4.0557872 0.181659603 0 0.5627722502 0.540269484
## 2320 5 13 14 4.5751727 0.166914110 0 0.5720426252 0.510585713
## 2321 5 13 14 4.7980783 0.163190040 0 0.5943289153 0.498666700
## 2322 5 13 14 4.5282435 0.169326409 0 0.6120830898 0.508604578
## 2323 5 13 14 4.2884716 0.176657598 0 0.6079488776 0.513995728
## 2324 5 13 14 4.1382373 0.176246580 0 0.6389714946 0.532483247
## 2325 5 13 14 4.0935148 0.178771619 0 0.6435388064 0.528960326
## 2326 5 13 14 4.1708540 0.176990325 0 0.6495500190 0.524599850
## 2327 5 13 14 4.1709965 0.175865051 0 0.6577687270 0.524790085
## 2328 5 13 14 4.0119513 0.178348554 0 0.6646709341 0.532249058
## 2329 5 13 14 4.2010042 0.173510654 0 0.6888054079 0.517540518
## 2330 5 13 14 4.1471177 0.177164494 0 0.6858530759 0.517915358
## 2331 5 13 14 4.3107375 0.173028642 0 0.6772460126 0.503618885
## 2332 5 13 14 4.2700447 0.176319439 0 0.6494898275 0.506381069
## 2333 5 13 14 4.2801195 0.177045457 0 0.6359952172 0.507445136
## 2334 5 13 14 4.0619370 0.178188779 0 0.6646245238 0.527335304
## 2335 5 13 14 4.1137008 0.176305352 0 0.6663319342 0.522648027
## 2336 5 13 14 4.1166846 0.180268240 0 0.6979838172 0.506578767
## 2337 5 13 14 4.3686575 0.172618469 0 0.6920132757 0.497247324
## 2338 5 13 14 4.4669867 0.171437603 0 0.6881287518 0.484315116
## 2339 5 13 14 4.3936560 0.176087255 0 0.6976865791 0.478659484
## 2340 5 13 14 4.2874195 0.179753458 0 0.7083090584 0.480457095
## 2341 5 13 14 4.2874195 0.179753458 0 0.7083090584 0.480457095
## 2342 5 13 14 4.4082122 0.177638323 0 0.7083243556 0.485135421
## 2343 5 13 14 4.4517862 0.181446366 0 0.7178155740 0.467235527
## 2344 5 13 14 4.4603596 0.178221976 0 0.7179241593 0.474857619
## 2345 5 13 14 4.9564076 0.174028557 0 0.7246505622 0.430160501
## 2346 5 13 14 4.3452728 0.194346047 0 0.7182330141 0.439631434
## 2347 5 13 14 4.8389141 0.178218193 0 0.7500521714 0.423547983
## 2348 5 13 14 4.5218705 0.178114891 0 0.7430300882 0.471359734
## 2349 5 13 14 4.5312034 0.176154814 0 0.7226848361 0.481073167
## 2350 5 13 14 4.4115484 0.181709641 0 0.7405791017 0.473214753
## 2351 5 13 14 3.9659857 0.187152902 0 0.7614951702 0.516778723
## 2352 5 13 14 3.5601043 0.196145835 0 0.7717142645 0.547097566
## 2353 5 13 14 4.1511226 0.175102094 0 0.7917668383 0.528037887
## 2354 5 13 14 3.5123278 0.187310289 0 0.7950982519 0.592135469
## 2355 5 13 14 3.6743075 0.186757756 0 0.8069110754 0.554567715
## 2356 5 13 14 3.7654721 0.184495444 0 0.8013954541 0.541770793
## 2357 5 13 14 3.5721192 0.187025004 0 0.7858982295 0.565004477
## 2358 5 13 14 3.3447022 0.190778382 0 0.8107469176 0.589054032
## 2359 5 13 14 3.3225078 0.197127474 0 0.8205375882 0.574906321
## 2360 5 13 14 3.3527407 0.189773271 0 0.8113189736 0.586223125
## 2361 5 13 14 3.3494151 0.195160346 0 0.8384773908 0.574876019
## 2362 5 13 14 3.4583540 0.186146823 0 0.8319580196 0.581969834
## 2363 5 13 14 3.6090222 0.182502058 0 0.8255568139 0.572576608
## 2364 5 13 14 3.4136633 0.188449546 0 0.8029970389 0.596351775
## 2365 5 13 14 3.4460502 0.187305551 0 0.8086242705 0.585770312
## 2366 5 13 14 3.7539275 0.178398493 0 0.8208449672 0.563228449
## 2367 5 13 14 3.7365633 0.179136841 0 0.8227729515 0.559153772
## 2368 5 13 14 3.6645832 0.180677523 0 0.8314261683 0.573099512
## 2369 5 13 14 3.5436249 0.182792826 0 0.8453578921 0.576096426
## 2370 5 13 14 3.5084465 0.182651438 0 0.8566279660 0.588501049
## 2371 5 13 14 3.6165080 0.179091174 0 0.8811598556 0.573776450
## 2372 5 13 14 3.6569356 0.177488174 0 0.8801491637 0.576758956
## 2373 5 13 14 3.5498810 0.184920776 0 0.8847715381 0.564804917
## 2374 5 13 14 3.4935368 0.187145847 0 0.8874308132 0.568460124
## 2375 5 13 14 3.5713254 0.182073120 0 0.8863645364 0.566366451
## 2376 5 13 14 3.5419358 0.181208103 0 0.8815358663 0.579914949
## 2377 5 13 14 3.4134581 0.186532297 0 0.8933458730 0.579273608
## 2378 5 13 14 3.3875573 0.185626186 0 0.8953638581 0.594062739
## 2379 5 13 14 3.5506371 0.180683136 0 0.8836671074 0.579101364
## 2380 5 13 14 3.5853920 0.179015783 0 0.8999925960 0.574895555
## 2381 5 13 14 3.5429772 0.177305367 0 0.9012895222 0.585939039
## 2382 5 13 14 3.5010266 0.177758395 0 0.9067216699 0.587048888
## 2383 5 13 14 3.4884466 0.177113760 0 0.9114515079 0.591568875
## 2384 5 13 14 3.6144993 0.174774045 0 0.9116418451 0.575673943
## 2385 5 13 14 3.7045813 0.172845854 0 0.9138822285 0.565139117
## 2386 5 13 14 3.7134758 0.172184452 0 0.9172827941 0.568954879
## 2387 5 13 14 3.7443608 0.170353770 0 0.9283415675 0.561707506
## 2388 5 13 14 3.6833656 0.172384949 0 0.9276446351 0.568480159
## 2389 5 13 14 3.7097155 0.173486687 0 0.9162838074 0.563683745
## 2390 5 13 14 3.8084632 0.172066455 0 0.9228952015 0.548618132
## 2391 5 13 14 3.7619058 0.175400443 0 0.9258816171 0.540652058
## 2392 5 13 14 3.7619058 0.175400443 0 0.9258816171 0.540652058
## 2393 5 13 14 2.7917131 0.095949719 0 0.9132594703 0.017042152
## 2394 5 13 14 2.7917131 0.095949719 0 0.9132594703 0.017042152
## 2395 5 13 14 2.7737320 0.102986492 0 0.8873711967 0.022801231
## 2396 5 13 14 5.2944437 0.127869533 0 0.8657999061 0.034925155
## 2397 5 13 14 6.6881715 0.188608774 0 0.8974695856 0.053707655
## 2398 5 13 14 8.3536388 0.253816301 0 0.8992100444 0.075102627
## 2399 5 13 14 10.0065503 0.288265916 0 0.8864199813 0.096718733
## 2400 5 13 14 10.6392410 0.221623338 0 0.8755795756 0.099357216
## 2401 5 13 14 10.0686136 0.194212986 0 0.8406050583 0.135772880
## 2402 5 13 14 9.6240908 0.170361022 0 0.8775785856 0.186750414
## 2403 5 13 14 9.4024155 0.159573049 0 0.8801882360 0.216880846
## 2404 5 13 14 8.4993404 0.164502043 0 0.8850405167 0.240687720
## 2405 5 13 14 7.9990799 0.164850073 0 0.8730146030 0.258344809
## 2406 5 13 14 7.4622768 0.167735589 0 0.8698649544 0.271554575
## 2407 5 13 14 7.0459780 0.172166573 0 0.8562828141 0.281079997
## 2408 5 13 14 6.6673585 0.173809468 0 0.8598195311 0.293573786
## 2409 5 13 14 6.5511249 0.170760842 0 0.8641187674 0.303046598
## 2410 5 13 14 6.4117127 0.172981755 0 0.8673936282 0.302782208
## 2411 5 13 14 6.4730728 0.173969046 0 0.8679770389 0.300468685
## 2412 5 13 14 6.5406487 0.172571870 0 0.8749509204 0.301700506
## 2413 5 13 14 6.4748392 0.175566505 0 0.8765520018 0.300072282
## 2414 5 13 14 6.2730802 0.175693928 0 0.8809776322 0.304761193
## 2415 5 13 14 6.3624956 0.174489571 0 0.8799363210 0.303902514
## 2416 5 13 14 6.3469033 0.173397020 0 0.8857878802 0.304358086
## 2417 5 13 14 5.9780863 0.177890386 0 0.8523539631 0.325439211
## 2418 5 13 14 5.9987178 0.177181632 0 0.8472903363 0.324123485
## 2419 5 13 14 5.8664864 0.179720264 0 0.8581990602 0.323831165
## 2420 5 13 14 5.8543294 0.181648233 0 0.8694628315 0.318317361
## 2421 5 13 14 6.0424733 0.177191819 0 0.8871823311 0.310228721
## 2422 5 13 14 5.9753918 0.177813177 0 0.8990553260 0.312526232
## 2423 5 13 14 5.9993543 0.179256445 0 0.9075430363 0.304777729
## 2424 5 13 14 5.8832778 0.182432239 0 0.9116189771 0.301662310
## 2425 5 13 14 5.9068189 0.180206343 0 0.9070611275 0.306477536
## 2426 5 13 14 5.9159596 0.183793740 0 0.9107058433 0.299105089
## 2427 5 13 14 5.7934228 0.187099679 0 0.9169107511 0.298881568
## 2428 5 13 14 5.9263850 0.187056488 0 0.9201398841 0.287509588
## 2429 5 13 14 5.8527249 0.186188142 0 0.9273975716 0.291394126
## 2430 5 13 14 5.4624575 0.188774618 0 0.9365323404 0.311541036
## 2431 5 13 14 5.4562825 0.188049897 0 0.9408092422 0.310940224
## 2432 5 13 14 5.5221370 0.187007735 0 0.9423643486 0.308397478
## 2433 5 13 14 5.3940598 0.188486998 0 0.9419340348 0.311009583
## 2434 5 13 14 5.3890117 0.190371116 0 0.9392699919 0.307875954
## 2435 5 13 14 5.3770799 0.190937138 0 0.9355976792 0.307188120
## 2436 5 13 14 5.2241969 0.191132868 0 0.9363510349 0.314253920
## 2437 5 13 14 5.1640908 0.191864047 0 0.9382895734 0.320328370
## 2438 5 13 14 5.3195323 0.190244028 0 0.9417181385 0.308730026
## 2439 5 13 14 5.2714495 0.189697257 0 0.9422794055 0.314225874
## 2440 5 13 14 5.1950880 0.190551030 0 0.9417560907 0.317231148
## 2441 5 13 14 5.2471601 0.190154608 0 0.9405258794 0.312394997
## 2442 5 13 14 5.4017190 0.187520562 0 0.9426674196 0.307979416
## 2443 5 13 14 5.5619646 0.187502444 0 0.9487310934 0.296454247
## 2444 5 13 14 5.5278184 0.188886281 0 0.9531997139 0.295418689
## 2445 5 13 14 5.5278184 0.188886281 0 0.9531997139 0.295418689
## 2446 5 13 14 5.6811372 0.192775806 0 0.9533704135 0.294995818
## 2447 5 13 14 5.4392279 0.201907990 0 0.9539009725 0.289805560
## 2448 5 13 14 5.2656197 0.202258497 0 0.9552560316 0.302330938
## 2449 5 13 14 5.1637667 0.208598749 0 0.9544716994 0.298744149
## 2450 5 13 14 5.1863540 0.203670017 0 0.9517498152 0.304618304
## 2451 5 13 14 5.1602854 0.209114004 0 0.9543803515 0.297324011
## 2452 5 13 14 5.4284451 0.202639919 0 0.9573371060 0.289582766
## 2453 5 13 14 5.5094442 0.200247792 0 0.9604044325 0.287553117
## 2454 5 13 14 5.6903758 0.194708709 0 0.9580501980 0.285759636
## 2455 5 13 14 5.4475474 0.201365225 0 0.9553064313 0.288628193
## 2456 5 13 14 5.4888488 0.200783063 0 0.9515748609 0.286811788
## 2457 5 13 14 5.4513741 0.198803891 0 0.9446546504 0.293047044
## 2458 5 13 14 5.5807000 0.197794160 0 0.9396795756 0.287054493
## 2459 5 13 14 5.4444448 0.201975829 0 0.9348383970 0.290082309
## 2460 5 13 14 5.6045934 0.196498630 0 0.9352829785 0.287118343
## 2461 5 13 14 5.4522790 0.199083360 0 0.9440731362 0.284841072
## 2462 5 13 14 5.3732541 0.197544192 0 0.9413638187 0.298543873
## 2463 5 13 14 5.2469486 0.199357055 0 0.9415640358 0.306696453
## 2464 5 13 14 5.0767648 0.202739886 0 0.9365801901 0.311879524
## 2465 5 13 14 5.3288718 0.204796336 0 0.9389722872 0.286959840
## 2466 5 13 14 5.3336206 0.204505260 0 0.9376319893 0.286050329
## 2467 5 13 14 5.6250248 0.197611824 0 0.9326483991 0.280350366
## 2468 5 13 14 5.5995462 0.198214898 0 0.9253961432 0.278956819
## 2469 5 13 14 5.5277502 0.201232810 0 0.9190067185 0.279812624
## 2470 5 13 14 5.2751349 0.203833722 0 0.9209841028 0.291120001
## 2471 5 13 14 5.3453383 0.202781424 0 0.9155239140 0.290046902
## 2472 5 13 14 5.4232748 0.204091578 0 0.9133254866 0.282059452
## 2473 5 13 14 5.3285168 0.205820989 0 0.9134610566 0.283571099
## 2474 5 13 14 5.4152371 0.203712901 0 0.9126552537 0.280002269
## 2475 5 13 14 5.5622512 0.201493445 0 0.9076835194 0.277093864
## 2476 5 13 14 5.6904835 0.203971729 0 0.8992006715 0.267408814
## 2477 5 13 14 5.7711200 0.200207810 0 0.9003347084 0.265410816
## 2478 5 13 14 5.8221876 0.201597439 0 0.9037260001 0.262178235
## 2479 5 13 14 5.7769382 0.204179361 0 0.8909007884 0.260319723
## 2480 5 13 14 5.8329102 0.204870629 0 0.8917125174 0.253770080
## 2481 5 13 14 5.9805823 0.201661825 0 0.8893709096 0.250598740
## 2482 5 13 14 5.9227788 0.203972730 0 0.8815583876 0.251588982
## 2483 5 13 14 5.8518052 0.202389579 0 0.8820900543 0.257097509
## 2484 5 13 14 5.8023620 0.205748707 0 0.8827721364 0.254201927
## 2485 5 13 14 5.9032444 0.202467664 0 0.8822067426 0.253251106
## 2486 5 13 14 5.9385724 0.203977964 0 0.8826988204 0.246676905
## 2487 5 13 14 5.9495081 0.203616068 0 0.8891826796 0.244496533
## 2488 5 13 14 5.9851332 0.201240243 0 0.8908891755 0.243413723
## 2489 5 13 14 6.1417479 0.199729398 0 0.8753799481 0.241296294
## 2490 5 13 14 6.0655561 0.204049427 0 0.8751636700 0.239987016
## 2491 5 13 14 6.0588159 0.201263544 0 0.8874166198 0.242964178
## 2492 5 13 14 6.0594251 0.200291761 0 0.8948994103 0.242648894
## 2493 5 13 14 6.0542902 0.201382125 0 0.9030980862 0.239566160
## 2494 5 13 14 6.0247900 0.203771972 0 0.9069382346 0.237289484
## 2495 5 13 14 6.0947064 0.201573529 0 0.9092301167 0.236294092
## 2496 5 13 14 6.0947064 0.201573529 0 0.9092301167 0.236294092
## 2497 5 13 14 3.3315116 0.782583897 0 0.0660241961 0.424695427
## 2498 5 13 14 3.3315116 0.782583897 0 0.0660241961 0.424695427
## 2499 5 13 14 2.8415948 0.786617171 0 0.0709256794 0.423963400
## 2500 5 13 14 2.9880802 0.779016942 0 0.0670668948 0.499973092
## 2501 5 13 14 4.7464256 0.797971760 0 0.0519106479 0.551242008
## 2502 5 13 14 8.4079381 0.809850312 0 0.0445191711 0.579138203
## 2503 5 13 14 11.3875636 0.839146053 0 0.0476381562 0.556617919
## 2504 5 13 14 13.8318540 0.814940483 0 0.0450886279 0.579455643
## 2505 5 13 14 11.1600921 0.807504912 0 0.0401827456 0.462080843
## 2506 5 13 14 14.3829710 0.792522756 0 0.0438317492 0.514079582
## 2507 5 13 14 16.4115723 0.780861473 0 0.0367957320 0.443897432
## 2508 5 13 14 16.6416754 0.758860549 0 0.0425727372 0.419977339
## 2509 5 13 14 18.5961897 0.714407342 0 0.0536815230 0.372879926
## 2510 5 13 14 19.5407034 0.687634865 0 0.0572570051 0.326821768
## 2511 5 13 14 23.0282101 0.700075398 0 0.0678205060 0.286393642
## 2512 5 13 14 24.1041332 0.657352329 0 0.0751256183 0.251018195
## 2513 5 13 14 28.8811563 0.629131241 0 0.0783893362 0.236216757
## 2514 5 13 14 29.2618385 0.586767512 0 0.0812283248 0.211212233
## 2515 5 13 14 33.2051196 0.504719216 0 0.0871008145 0.226979052
## 2516 5 13 14 38.4113502 0.397890371 0 0.0779314196 0.206745309
## 2517 5 13 14 43.8622314 0.372297932 0 0.0761382413 0.199488093
## 2518 5 13 14 48.0900672 0.364129680 0 0.0764062760 0.182943908
## 2519 5 13 14 53.5074978 0.319249547 0 0.0709101381 0.168764583
## 2520 5 13 14 59.1867300 0.299456365 0 0.0559203549 0.154996218
## 2521 5 13 14 71.4235917 0.261813570 0 0.0647508662 0.129809347
## 2522 5 13 14 80.0692480 0.240844973 0 0.0592675569 0.119752434
## 2523 5 13 14 87.5308352 0.219776175 0 0.0663553338 0.120146832
## 2524 5 13 14 98.6433547 0.183508690 0 0.0507063207 0.113627676
## 2525 5 13 14 106.1346767 0.166905365 0 0.0465223195 0.104231994
## 2526 5 13 14 114.6870241 0.146803083 0 0.0483205992 0.096072169
## 2527 5 13 14 123.0788270 0.143059218 0 0.0518988301 0.092903715
## 2528 5 13 14 128.8497495 0.125618097 0 0.0562548923 0.085534805
## 2529 5 13 14 136.5968758 0.102963691 0 0.0556046721 0.081629169
## 2530 5 13 14 159.9647987 0.094572113 0 0.0519089302 0.079660461
## 2531 5 13 14 157.6351008 0.090593026 0 0.0480550891 0.076638596
## 2532 5 13 14 157.7784266 0.089902723 0 0.0474865324 0.078347947
## 2533 5 13 14 154.3100068 0.089211068 0 0.0456314023 0.077496011
## 2534 5 13 14 162.5095515 0.092081714 0 0.0406571319 0.074733944
## 2535 5 13 14 168.3703149 0.093167275 0 0.0344756556 0.073942312
## 2536 5 13 14 166.2648233 0.094020524 0 0.0333895228 0.073752343
## 2537 5 13 14 169.5509457 0.090431692 0 0.0344081727 0.076421357
## 2538 5 13 14 173.4845261 0.095449045 0 0.0337198488 0.074097504
## 2539 5 13 14 164.6507345 0.090468775 0 0.0345296578 0.072916422
## 2540 5 13 14 180.8190465 0.088171570 0 0.0397303995 0.071625845
## 2541 5 13 14 170.4258783 0.088650125 0 0.0351630496 0.072163704
## 2542 5 13 14 184.0730947 0.085293933 0 0.0297842300 0.073024743
## 2543 5 13 14 181.5642221 0.087866450 0 0.0281570376 0.073042911
## 2544 5 13 14 193.9232588 0.087004004 0 0.0240123389 0.072959331
## 2545 5 13 14 194.7027541 0.089659321 0 0.0223594397 0.071346205
## 2546 5 13 14 188.6479682 0.092625620 0 0.0222272773 0.071078478
## 2547 5 13 14 192.1025487 0.090210365 0 0.0230683561 0.071375853
## 2548 5 13 14 197.9669200 0.088815743 0 0.0190134806 0.070612592
## 2549 5 13 14 197.9669200 0.088815743 0 0.0190134806 0.070612592
## 2550 5 13 14 201.1981087 0.092627433 0 0.0191797191 0.070426589
## 2551 5 13 14 193.9803670 0.098164629 0 0.0179165057 0.069752621
## 2552 5 13 14 208.3017262 0.090330319 0 0.0161092982 0.070312223
## 2553 5 13 14 208.6938788 0.093895065 0 0.0183405732 0.069454264
## 2554 5 13 14 209.6241142 0.094875871 0 0.0174954823 0.069609718
## 2555 5 13 14 222.6139641 0.098160697 0 0.0183434384 0.068981836
## 2556 5 13 14 210.2586850 0.088508719 0 0.0183539096 0.072369584
## 2557 5 13 14 218.8916165 0.097520677 0 0.0157825436 0.068194916
## 2558 5 13 14 219.8342859 0.094867387 0 0.0141437360 0.068986184
## 2559 5 13 14 221.0905726 0.095241925 0 0.0163842572 0.068285557
## 2560 5 13 14 184.4033475 0.094016204 0 0.0143297851 0.073538082
## 2561 5 13 14 188.7524860 0.090375149 0 0.0124421924 0.075196040
## 2562 5 13 14 188.9399666 0.093267784 0 0.0124214619 0.071335747
## 2563 5 13 14 194.2996050 0.097744890 0 0.0111842832 0.071829501
## 2564 5 13 14 193.7670115 0.100376017 0 0.0097206514 0.070038555
## 2565 5 13 14 178.9421384 0.105654658 0 0.0084776340 0.069520759
## 2566 5 13 14 196.1353763 0.101292207 0 0.0093166596 0.071072798
## 2567 5 13 14 195.7524486 0.096679244 0 0.0088390719 0.070920241
## 2568 5 13 14 202.7341802 0.094865012 0 0.0077620306 0.068295408
## 2569 5 13 14 191.5347688 0.098269631 0 0.0083958316 0.069756215
## 2570 5 13 14 195.0352246 0.100216543 0 0.0073062690 0.069395866
## 2571 5 13 14 190.1574852 0.096773495 0 0.0075100305 0.068671427
## 2572 5 13 14 180.1501706 0.098584304 0 0.0071243606 0.069331119
## 2573 5 13 14 185.0366333 0.094259686 0 0.0075936266 0.074140160
## 2574 5 13 14 177.5372623 0.092167873 0 0.0067048065 0.074376049
## 2575 5 13 14 188.0159570 0.098935417 0 0.0076499714 0.075549962
## 2576 5 13 14 176.3906978 0.090763801 0 0.0066934980 0.075796441
## 2577 5 13 14 180.1660526 0.091779055 0 0.0071048737 0.075133848
## 2578 5 13 14 179.4413639 0.083906143 0 0.0075477400 0.077253509
## 2579 5 13 14 189.1640760 0.091948132 0 0.0074645374 0.073724259
## 2580 5 13 14 185.1746753 0.093632118 0 0.0060958747 0.072218335
## 2581 5 13 14 187.1500335 0.090044870 0 0.0053173780 0.073428019
## 2582 5 13 14 183.8485936 0.093755355 0 0.0049852775 0.073345258
## 2583 5 13 14 192.2819790 0.095702519 0 0.0050422586 0.073208775
## 2584 5 13 14 181.9516347 0.095441116 0 0.0056709705 0.073126524
## 2585 5 13 14 183.2321990 0.096160681 0 0.0051794535 0.073608176
## 2586 5 13 14 179.4056385 0.092926099 0 0.0045628413 0.075002331
## 2587 5 13 14 180.8425474 0.100397714 0 0.0048799036 0.071121764
## 2588 5 13 14 180.0853646 0.097669867 0 0.0050932288 0.073654080
## 2589 5 13 14 188.8307167 0.093321196 0 0.0049410476 0.071661553
## 2590 5 13 14 186.6434575 0.091876634 0 0.0057037576 0.071128428
## 2591 5 13 14 179.2592313 0.084989772 0 0.0055587866 0.074557153
## 2592 5 13 14 186.8472205 0.088529831 0 0.0054281265 0.071980368
## 2593 5 13 14 182.1383458 0.085655767 0 0.0052688263 0.073144045
## 2594 5 13 14 177.3891316 0.086135202 0 0.0055305761 0.073642920
## 2595 5 13 14 187.3936366 0.087931285 0 0.0049021693 0.073838155
## 2596 5 13 14 181.3436274 0.087269357 0 0.0050743468 0.075413596
## 2597 5 13 14 179.0651084 0.085364902 0 0.0051013221 0.074195925
## 2598 5 13 14 187.0477369 0.089268558 0 0.0052389508 0.074577212
## 2599 5 13 14 181.6965606 0.084778490 0 0.0051197007 0.078889129
## 2600 5 13 14 181.6965606 0.084778490 0 0.0051197007 0.078889129
## 2601 5 13 14 2.0722686 0.291700344 0 0.3075529632 0.869341913
## 2602 5 13 14 2.0722686 0.291700344 0 0.3075529632 0.869341913
## 2603 5 13 14 2.6307657 0.331990368 0 0.2519589401 0.888767955
## 2604 5 13 14 1.9169470 0.270506661 0 0.2516384728 0.894607908
## 2605 5 13 14 2.7771339 0.180848337 0 0.2262803069 0.894054033
## 2606 5 13 14 3.3021296 0.152226977 0 0.3015649192 0.899274074
## 2607 5 13 14 3.8307179 0.133431150 0 0.3072666513 0.902162151
## 2608 5 13 14 3.8930058 0.131028416 0 0.3077007750 0.897203832
## 2609 5 13 14 3.9961373 0.127177981 0 0.2978540675 0.903808238
## 2610 5 13 14 3.9575682 0.126634419 0 0.3104690497 0.897880929
## 2611 5 13 14 3.9159041 0.128953467 0 0.3047997902 0.896508554
## 2612 5 13 14 3.8005777 0.129413179 0 0.3090371898 0.899848985
## 2613 5 13 14 3.8196110 0.128807050 0 0.2888064277 0.906189069
## 2614 5 13 14 3.9146680 0.127219356 0 0.2726790920 0.900913641
## 2615 5 13 14 3.9676285 0.125970318 0 0.2748813556 0.899174613
## 2616 5 13 14 3.8581158 0.129401554 0 0.2770499859 0.905238478
## 2617 5 13 14 3.7044023 0.132126837 0 0.2890575919 0.905726187
## 2618 5 13 14 3.8114294 0.128996537 0 0.2778542286 0.906690482
## 2619 5 13 14 3.8757654 0.128320199 0 0.2795140984 0.899129496
## 2620 5 13 14 3.7788218 0.132063406 0 0.2474358204 0.904524402
## 2621 5 13 14 3.9278146 0.128107796 0 0.2486653276 0.898188113
## 2622 5 13 14 3.9890019 0.126498945 0 0.2614582013 0.889892210
## 2623 5 13 14 3.8918476 0.127313283 0 0.2481536839 0.910667285
## 2624 5 13 14 3.8555686 0.128333024 0 0.2409106698 0.911881584
## 2625 5 13 14 3.8063671 0.127304902 0 0.2917537246 0.909749710
## 2626 5 13 14 3.8092017 0.127275581 0 0.3224408591 0.907510143
## 2627 5 13 14 3.7684113 0.127079528 0 0.2946815301 0.912498750
## 2628 5 13 14 3.9012714 0.124133912 0 0.3007436118 0.907963414
## 2629 5 13 14 3.8682182 0.124820240 0 0.3065714346 0.906295000
## 2630 5 13 14 3.8959632 0.123259221 0 0.3350705957 0.902489319
## 2631 5 13 14 3.7906828 0.125686975 0 0.3558300815 0.902861305
## 2632 5 13 14 3.7785971 0.126084328 0 0.3611672352 0.900730823
## 2633 5 13 14 3.7875672 0.125178576 0 0.3812385723 0.901031212
## 2634 5 13 14 3.8065000 0.124053568 0 0.3908748751 0.904765033
## 2635 5 13 14 3.7294699 0.125217548 0 0.4052185166 0.909672620
## 2636 5 13 14 3.6476745 0.127513694 0 0.4113020696 0.914056089
## 2637 5 13 14 3.6603868 0.126988274 0 0.4360346810 0.910351922
## 2638 5 13 14 3.7386408 0.124541683 0 0.4303986277 0.908073681
## 2639 5 13 14 3.7080872 0.125669110 0 0.4325928744 0.909288918
## 2640 5 13 14 3.6900877 0.125353351 0 0.4405838510 0.913012196
## 2641 5 13 14 3.7134542 0.124316312 0 0.4398339837 0.913494538
## 2642 5 13 14 3.7202932 0.124172661 0 0.4505390006 0.907288691
## 2643 5 13 14 3.7448153 0.124607186 0 0.4486731214 0.906988050
## 2644 5 13 14 3.7560904 0.124094009 0 0.4417685453 0.905050880
## 2645 5 13 14 3.7931426 0.123827588 0 0.4488263950 0.897724988
## 2646 5 13 14 3.8078355 0.123792505 0 0.4564985610 0.892160529
## 2647 5 13 14 3.7087415 0.125323223 0 0.4623912703 0.902329514
## 2648 5 13 14 3.6533202 0.126204225 0 0.4360729114 0.909611510
## 2649 5 13 14 3.5791916 0.127942021 0 0.4393964261 0.916756706
## 2650 5 13 14 3.6542214 0.125331887 0 0.4144774436 0.922749756
## 2651 5 13 14 3.6399135 0.125315195 0 0.4242248786 0.917038002
## 2652 5 13 14 3.5849986 0.125730312 0 0.4197941911 0.927108066
## 2653 5 13 14 3.5849986 0.125730312 0 0.4197941911 0.927108066
## 2654 5 13 14 3.6472811 0.125648505 0 0.4197161555 0.926443661
## 2655 5 13 14 3.5898892 0.128637694 0 0.4202851319 0.925493205
## 2656 5 13 14 3.5866674 0.129347629 0 0.4123705859 0.924363251
## 2657 5 13 14 3.6126369 0.128193084 0 0.4057813096 0.920553758
## 2658 5 13 14 3.4816171 0.131387820 0 0.4129044916 0.930424282
## 2659 5 13 14 3.6406924 0.127209545 0 0.4133126493 0.919189632
## 2660 5 13 14 3.5097710 0.132219178 0 0.4198659294 0.926429617
## 2661 5 13 14 3.5365747 0.130089329 0 0.3878902499 0.925263246
## 2662 5 13 14 3.6063333 0.128999965 0 0.3849511207 0.914516787
## 2663 5 13 14 3.5951549 0.131172168 0 0.3901611290 0.910921365
## 2664 5 13 14 3.7126130 0.130108356 0 0.3513104111 0.896596443
## 2665 5 13 14 3.7807604 0.127281722 0 0.3519008742 0.898221788
## 2666 5 13 14 3.8624763 0.125377836 0 0.3467877228 0.882511628
## 2667 5 13 14 3.9964693 0.122214500 0 0.3488678063 0.877757307
## 2668 5 13 14 3.8854066 0.125154911 0 0.3454054293 0.876456090
## 2669 5 13 14 3.8415704 0.127989869 0 0.3546829435 0.871587102
## 2670 5 13 14 3.9456014 0.126193345 0 0.3809430087 0.859702670
## 2671 5 13 14 3.9242410 0.126602347 0 0.3814954508 0.867847814
## 2672 5 13 14 4.0166844 0.124080312 0 0.3801607782 0.863962439
## 2673 5 13 14 4.0808576 0.122159994 0 0.3852002906 0.858335040
## 2674 5 13 14 4.0924773 0.123018297 0 0.4062348716 0.848374512
## 2675 5 13 14 3.9110727 0.126274572 0 0.4183761514 0.856333273
## 2676 5 13 14 3.9167391 0.124776844 0 0.4030679390 0.863532828
## 2677 5 13 14 3.9047422 0.126305228 0 0.4391082541 0.859658472
## 2678 5 13 14 3.8424659 0.127935500 0 0.4438058678 0.855298016
## 2679 5 13 14 3.7816210 0.129791338 0 0.5018541449 0.854555982
## 2680 5 13 14 3.8164882 0.128489280 0 0.5290690880 0.847568865
## 2681 5 13 14 3.6916028 0.130665877 0 0.5565748396 0.857040237
## 2682 5 13 14 3.6040282 0.132548138 0 0.5763113186 0.860101784
## 2683 5 13 14 3.6662376 0.129863151 0 0.5614397469 0.862965877
## 2684 5 13 14 3.6014051 0.131644060 0 0.5625037399 0.865032842
## 2685 5 13 14 3.6351842 0.131755939 0 0.5725735535 0.856334795
## 2686 5 13 14 3.5414482 0.132611275 0 0.6062941941 0.876811889
## 2687 5 13 14 3.5405490 0.132353031 0 0.6001838710 0.879686896
## 2688 5 13 14 3.5359166 0.130680682 0 0.6074862685 0.883785424
## 2689 5 13 14 3.5071157 0.132114006 0 0.6103354598 0.879864935
## 2690 5 13 14 3.5057329 0.132367368 0 0.5983599322 0.874168977
## 2691 5 13 14 3.4182924 0.137447240 0 0.5883476285 0.870845941
## 2692 5 13 14 3.3776852 0.137028717 0 0.6030098187 0.877087930
## 2693 5 13 14 3.4230052 0.136570695 0 0.5762726112 0.863320923
## 2694 5 13 14 3.5140775 0.134624321 0 0.5470132475 0.859816279
## 2695 5 13 14 3.4704416 0.136176454 0 0.5285472059 0.858391875
## 2696 5 13 14 3.5138694 0.134496079 0 0.5376880467 0.852927162
## 2697 5 13 14 3.5166343 0.135273766 0 0.5555539056 0.848998341
## 2698 5 13 14 3.5154907 0.135574760 0 0.5551675613 0.847641828
## 2699 5 13 14 3.5273558 0.135524532 0 0.5541497081 0.851259830
## 2700 5 13 14 3.4842580 0.135922645 0 0.5461438504 0.854696035
## 2701 5 13 14 3.5324234 0.134902057 0 0.5352591411 0.847270986
## 2702 5 13 14 3.5092457 0.136838876 0 0.5391837175 0.843194374
## p_H_cond_S phi_E phi_U phi_S h_V gamma N_0 E_0
## 1 0.25061380 1.09 1.09 0.2 0.125 0.9736223 8e+06 11608.75354
## 2 0.25061380 1.09 1.09 0.2 0.125 0.9736223 8e+06 11608.75354
## 3 0.20086678 1.09 1.09 0.2 0.125 0.9106629 8e+06 11602.10802
## 4 0.17061008 1.09 1.09 0.2 0.125 0.8051304 8e+06 11595.46731
## 5 0.17804552 1.09 1.09 0.2 0.125 1.3655953 8e+06 11785.60238
## 6 0.14679336 1.09 1.09 0.2 0.125 1.2654872 8e+06 11860.15227
## 7 0.13550854 1.09 1.09 0.2 0.125 1.2495942 8e+06 11673.80404
## 8 0.13108245 1.09 1.09 0.2 0.125 1.1197103 8e+06 11743.88143
## 9 0.13139636 1.09 1.09 0.2 0.125 1.2874423 8e+06 11658.33416
## 10 0.13776950 1.09 1.09 0.2 0.125 1.3989199 8e+06 11827.41139
## 11 0.13620732 1.09 1.09 0.2 0.125 1.5069269 8e+06 11482.53020
## 12 0.11036710 1.09 1.09 0.2 0.125 1.0303566 8e+06 11615.58700
## 13 0.11535708 1.09 1.09 0.2 0.125 1.3228735 8e+06 11567.67198
## 14 0.12328477 1.09 1.09 0.2 0.125 1.3034723 8e+06 11701.87380
## 15 0.11554665 1.09 1.09 0.2 0.125 1.0427962 8e+06 11766.85837
## 16 0.13847231 1.09 1.09 0.2 0.125 1.5174025 8e+06 11456.63664
## 17 0.13874844 1.09 1.09 0.2 0.125 1.9695087 8e+06 11571.24328
## 18 0.11820218 1.09 1.09 0.2 0.125 1.8781306 8e+06 11695.20084
## 19 0.12325931 1.09 1.09 0.2 0.125 2.4621205 8e+06 12035.68885
## 20 0.13034870 1.09 1.09 0.2 0.125 2.6119899 8e+06 12008.10388
## 21 0.10715233 1.09 1.09 0.2 0.125 1.7901053 8e+06 12013.44944
## 22 0.09016816 1.09 1.09 0.2 0.125 1.9004852 8e+06 12279.56296
## 23 0.09222858 1.09 1.09 0.2 0.125 2.0006485 8e+06 12476.78927
## 24 0.07352734 1.09 1.09 0.2 0.125 1.5832059 8e+06 12619.24593
## 25 0.07218386 1.09 1.09 0.2 0.125 1.5580622 8e+06 12512.28735
## 26 0.05802350 1.09 1.09 0.2 0.125 1.2538022 8e+06 12646.36267
## 27 0.06717306 1.09 1.09 0.2 0.125 1.6662855 8e+06 12875.85484
## 28 0.06234042 1.09 1.09 0.2 0.125 1.6937294 8e+06 13016.08854
## 29 0.05460466 1.09 1.09 0.2 0.125 1.7435660 8e+06 13018.21160
## 30 0.05676580 1.09 1.09 0.2 0.125 1.4642980 8e+06 13179.55958
## 31 0.05865126 1.09 1.09 0.2 0.125 1.5218106 8e+06 12974.28745
## 32 0.05115295 1.09 1.09 0.2 0.125 0.9630041 8e+06 13194.74649
## 33 0.04641389 1.09 1.09 0.2 0.125 0.9809126 8e+06 13822.73492
## 34 0.04153471 1.09 1.09 0.2 0.125 1.0234166 8e+06 13902.85791
## 35 0.02651376 1.09 1.09 0.2 0.125 0.9915322 8e+06 13858.14469
## 36 0.02829212 1.09 1.09 0.2 0.125 1.1065017 8e+06 13809.35073
## 37 0.02712315 1.09 1.09 0.2 0.125 1.2930181 8e+06 13792.28800
## 38 0.02594137 1.09 1.09 0.2 0.125 1.1657653 8e+06 13854.50474
## 39 0.02666904 1.09 1.09 0.2 0.125 1.1671446 8e+06 13874.57376
## 40 0.02797089 1.09 1.09 0.2 0.125 1.1575947 8e+06 13746.57485
## 41 0.03123447 1.09 1.09 0.2 0.125 1.0571744 8e+06 13749.31742
## 42 0.02554004 1.09 1.09 0.2 0.125 1.1721210 8e+06 13679.59993
## 43 0.02816672 1.09 1.09 0.2 0.125 1.3887912 8e+06 13965.21419
## 44 0.02729201 1.09 1.09 0.2 0.125 1.8713406 8e+06 14096.04158
## 45 0.02341495 1.09 1.09 0.2 0.125 1.7082630 8e+06 13894.17358
## 46 0.02391157 1.09 1.09 0.2 0.125 1.7409632 8e+06 13900.90195
## 47 0.02303761 1.09 1.09 0.2 0.125 1.7615146 8e+06 13930.87827
## 48 0.01864493 1.09 1.09 0.2 0.125 1.6953553 8e+06 13993.71428
## 49 0.01557476 1.09 1.09 0.2 0.125 1.6804392 8e+06 13686.31472
## 50 0.01468427 1.09 1.09 0.2 0.125 1.4507378 8e+06 13672.92384
## 51 0.01465791 1.09 1.09 0.2 0.125 1.4526605 8e+06 13827.04415
## 52 0.01319784 1.09 1.09 0.2 0.125 1.3584459 8e+06 14298.69493
## 53 0.01319784 1.09 1.09 0.2 0.125 1.3584459 8e+06 14298.69493
## 54 0.01428443 1.09 1.09 0.2 0.125 1.1322955 8e+06 14175.85666
## 55 0.01504088 1.09 1.09 0.2 0.125 1.0239611 8e+06 14221.42619
## 56 0.01567205 1.09 1.09 0.2 0.125 1.0454393 8e+06 14764.37409
## 57 0.01662505 1.09 1.09 0.2 0.125 1.1395401 8e+06 15049.17708
## 58 0.01832070 1.09 1.09 0.2 0.125 1.3760000 8e+06 15361.60553
## 59 0.01751457 1.09 1.09 0.2 0.125 1.2309804 8e+06 15218.37347
## 60 0.01355510 1.09 1.09 0.2 0.125 1.4289071 8e+06 15150.16630
## 61 0.01536508 1.09 1.09 0.2 0.125 1.5326782 8e+06 14978.34110
## 62 0.01607988 1.09 1.09 0.2 0.125 1.6469768 8e+06 15228.12403
## 63 0.01644881 1.09 1.09 0.2 0.125 1.6921401 8e+06 14836.15805
## 64 0.01529922 1.09 1.09 0.2 0.125 2.3155747 8e+06 14416.91008
## 65 0.01641201 1.09 1.09 0.2 0.125 2.5185043 8e+06 14377.44902
## 66 0.01684664 1.09 1.09 0.2 0.125 2.4244286 8e+06 14071.55388
## 67 0.01749886 1.09 1.09 0.2 0.125 2.7614890 8e+06 14054.29646
## 68 0.01695265 1.09 1.09 0.2 0.125 3.6386920 8e+06 14102.19626
## 69 0.01726611 1.09 1.09 0.2 0.125 3.9093169 8e+06 14265.82107
## 70 0.01626938 1.09 1.09 0.2 0.125 4.5230518 8e+06 14395.65321
## 71 0.01804920 1.09 1.09 0.2 0.125 3.8481351 8e+06 14226.42664
## 72 0.01750934 1.09 1.09 0.2 0.125 4.1553987 8e+06 14398.23302
## 73 0.01889169 1.09 1.09 0.2 0.125 3.5788809 8e+06 14295.79946
## 74 0.01787431 1.09 1.09 0.2 0.125 3.8179926 8e+06 14567.28668
## 75 0.01764636 1.09 1.09 0.2 0.125 3.8332636 8e+06 14587.04606
## 76 0.01867126 1.09 1.09 0.2 0.125 3.9078183 8e+06 14447.97241
## 77 0.01786281 1.09 1.09 0.2 0.125 3.3119962 8e+06 14223.68514
## 78 0.01830701 1.09 1.09 0.2 0.125 4.0094424 8e+06 14024.93889
## 79 0.01821221 1.09 1.09 0.2 0.125 3.8128744 8e+06 13828.51740
## 80 0.01816963 1.09 1.09 0.2 0.125 3.8174411 8e+06 13967.69331
## 81 0.01821592 1.09 1.09 0.2 0.125 4.1071953 8e+06 14236.86800
## 82 0.01863233 1.09 1.09 0.2 0.125 3.8188759 8e+06 13978.42580
## 83 0.01819918 1.09 1.09 0.2 0.125 3.3061725 8e+06 13952.79340
## 84 0.01724410 1.09 1.09 0.2 0.125 3.5340699 8e+06 14051.34063
## 85 0.01860451 1.09 1.09 0.2 0.125 3.4307358 8e+06 13959.95343
## 86 0.01833856 1.09 1.09 0.2 0.125 3.6860861 8e+06 14079.09770
## 87 0.01803019 1.09 1.09 0.2 0.125 3.9821602 8e+06 14091.38278
## 88 0.01761243 1.09 1.09 0.2 0.125 3.9730164 8e+06 14233.42964
## 89 0.01757728 1.09 1.09 0.2 0.125 4.0796374 8e+06 14281.92367
## 90 0.01761134 1.09 1.09 0.2 0.125 4.0773420 8e+06 14181.46201
## 91 0.01811683 1.09 1.09 0.2 0.125 4.5956104 8e+06 14414.40703
## 92 0.01923970 1.09 1.09 0.2 0.125 5.0108315 8e+06 14599.02189
## 93 0.01776102 1.09 1.09 0.2 0.125 4.1475259 8e+06 14620.87494
## 94 0.01810440 1.09 1.09 0.2 0.125 4.1536029 8e+06 14754.92954
## 95 0.01794268 1.09 1.09 0.2 0.125 3.9411349 8e+06 14572.70081
## 96 0.01929191 1.09 1.09 0.2 0.125 4.0534708 8e+06 14599.00067
## 97 0.01908949 1.09 1.09 0.2 0.125 4.0128787 8e+06 14756.47508
## 98 0.01972739 1.09 1.09 0.2 0.125 3.9246558 8e+06 14538.11496
## 99 0.02051291 1.09 1.09 0.2 0.125 3.8624092 8e+06 14437.73752
## 100 0.01976753 1.09 1.09 0.2 0.125 3.8563587 8e+06 14462.60608
## 101 0.02075656 1.09 1.09 0.2 0.125 3.9276732 8e+06 14556.80478
## 102 0.02102009 1.09 1.09 0.2 0.125 3.7858088 8e+06 14585.40194
## 103 0.02104889 1.09 1.09 0.2 0.125 3.8685472 8e+06 14438.59055
## 104 0.02104889 1.09 1.09 0.2 0.125 3.8685472 8e+06 14438.59055
## 105 0.15801227 1.09 1.09 0.2 0.125 0.3646983 8e+06 7270.03915
## 106 0.15801227 1.09 1.09 0.2 0.125 0.3646983 8e+06 7270.03915
## 107 0.09404193 1.09 1.09 0.2 0.125 0.3019537 8e+06 7340.49670
## 108 0.07421484 1.09 1.09 0.2 0.125 0.2891442 8e+06 7338.92249
## 109 0.12466817 1.09 1.09 0.2 0.125 0.3481691 8e+06 7272.45990
## 110 0.10160466 1.09 1.09 0.2 0.125 0.3863689 8e+06 7154.87079
## 111 0.12029634 1.09 1.09 0.2 0.125 0.4024121 8e+06 6973.14650
## 112 0.07984871 1.09 1.09 0.2 0.125 0.6159516 8e+06 7283.31432
## 113 0.06327892 1.09 1.09 0.2 0.125 0.6274370 8e+06 7317.74662
## 114 0.05874429 1.09 1.09 0.2 0.125 0.6736939 8e+06 7352.36434
## 115 0.05101710 1.09 1.09 0.2 0.125 0.8012529 8e+06 7377.01928
## 116 0.04702560 1.09 1.09 0.2 0.125 0.8695805 8e+06 7329.84549
## 117 0.04078017 1.09 1.09 0.2 0.125 0.9719968 8e+06 7309.31092
## 118 0.03786083 1.09 1.09 0.2 0.125 1.1736192 8e+06 7370.83264
## 119 0.03351381 1.09 1.09 0.2 0.125 1.1379991 8e+06 7594.54037
## 120 0.03318320 1.09 1.09 0.2 0.125 1.1936356 8e+06 7643.58275
## 121 0.03699163 1.09 1.09 0.2 0.125 1.2972823 8e+06 7670.36672
## 122 0.03759334 1.09 1.09 0.2 0.125 1.5185689 8e+06 7822.30643
## 123 0.03474956 1.09 1.09 0.2 0.125 1.6589270 8e+06 7830.94317
## 124 0.03566797 1.09 1.09 0.2 0.125 1.6460443 8e+06 7929.18774
## 125 0.03873560 1.09 1.09 0.2 0.125 1.5006296 8e+06 7597.03680
## 126 0.03798111 1.09 1.09 0.2 0.125 1.7229944 8e+06 7819.20244
## 127 0.04075342 1.09 1.09 0.2 0.125 1.7045158 8e+06 7999.61305
## 128 0.04139096 1.09 1.09 0.2 0.125 1.5437737 8e+06 7816.48812
## 129 0.03921141 1.09 1.09 0.2 0.125 1.7284774 8e+06 7972.07112
## 130 0.03977789 1.09 1.09 0.2 0.125 2.0163201 8e+06 7855.21083
## 131 0.03767670 1.09 1.09 0.2 0.125 1.7245939 8e+06 7910.74147
## 132 0.04023735 1.09 1.09 0.2 0.125 1.8492830 8e+06 7898.60974
## 133 0.03732762 1.09 1.09 0.2 0.125 2.0296051 8e+06 7944.39668
## 134 0.03606371 1.09 1.09 0.2 0.125 2.2322455 8e+06 8013.60505
## 135 0.03957646 1.09 1.09 0.2 0.125 2.3471364 8e+06 8060.34788
## 136 0.03873997 1.09 1.09 0.2 0.125 2.5219104 8e+06 8115.30298
## 137 0.04221605 1.09 1.09 0.2 0.125 2.1844701 8e+06 7898.43372
## 138 0.04185100 1.09 1.09 0.2 0.125 2.0441844 8e+06 7764.89631
## 139 0.04118855 1.09 1.09 0.2 0.125 2.1777822 8e+06 7839.41069
## 140 0.04141506 1.09 1.09 0.2 0.125 2.2702828 8e+06 7889.75057
## 141 0.04160929 1.09 1.09 0.2 0.125 2.4303431 8e+06 7922.83417
## 142 0.04436839 1.09 1.09 0.2 0.125 2.5868206 8e+06 7915.02378
## 143 0.05034771 1.09 1.09 0.2 0.125 2.3294903 8e+06 7670.03728
## 144 0.05191006 1.09 1.09 0.2 0.125 2.4582428 8e+06 7640.68398
## 145 0.04983078 1.09 1.09 0.2 0.125 2.1208284 8e+06 7702.82444
## 146 0.05049901 1.09 1.09 0.2 0.125 2.0920409 8e+06 7649.25756
## 147 0.05589529 1.09 1.09 0.2 0.125 2.0867738 8e+06 7567.50706
## 148 0.05910303 1.09 1.09 0.2 0.125 2.2471121 8e+06 7552.63628
## 149 0.06555593 1.09 1.09 0.2 0.125 2.1347993 8e+06 7475.73902
## 150 0.06801287 1.09 1.09 0.2 0.125 2.3252649 8e+06 7508.50916
## 151 0.06660201 1.09 1.09 0.2 0.125 2.3064447 8e+06 7489.48503
## 152 0.07235839 1.09 1.09 0.2 0.125 2.4446830 8e+06 7539.70448
## 153 0.07472500 1.09 1.09 0.2 0.125 2.4983079 8e+06 7555.17532
## 154 0.07730021 1.09 1.09 0.2 0.125 2.4135683 8e+06 7614.27776
## 155 0.08274516 1.09 1.09 0.2 0.125 2.3416961 8e+06 7640.13330
## 156 0.08154049 1.09 1.09 0.2 0.125 2.4119873 8e+06 7778.24254
## 157 0.08154049 1.09 1.09 0.2 0.125 2.4119873 8e+06 7778.24254
## 158 0.08555984 1.09 1.09 0.2 0.125 2.3947964 8e+06 7816.94118
## 159 0.08750330 1.09 1.09 0.2 0.125 2.4524706 8e+06 7812.37254
## 160 0.08880091 1.09 1.09 0.2 0.125 2.4999064 8e+06 7799.86372
## 161 0.08606564 1.09 1.09 0.2 0.125 2.5384627 8e+06 7859.77879
## 162 0.08611147 1.09 1.09 0.2 0.125 3.0101971 8e+06 7953.28818
## 163 0.10425793 1.09 1.09 0.2 0.125 3.4494848 8e+06 8002.53821
## 164 0.09029574 1.09 1.09 0.2 0.125 3.5925142 8e+06 7938.06264
## 165 0.08580884 1.09 1.09 0.2 0.125 3.3030643 8e+06 8117.82880
## 166 0.08893635 1.09 1.09 0.2 0.125 2.8482201 8e+06 8057.24491
## 167 0.09052764 1.09 1.09 0.2 0.125 3.1886042 8e+06 8109.80382
## 168 0.08762652 1.09 1.09 0.2 0.125 3.9331128 8e+06 8210.80323
## 169 0.09610739 1.09 1.09 0.2 0.125 3.2054120 8e+06 8076.91627
## 170 0.09538868 1.09 1.09 0.2 0.125 4.3488452 8e+06 8227.28164
## 171 0.09381606 1.09 1.09 0.2 0.125 5.4030886 8e+06 8413.15561
## 172 0.09283098 1.09 1.09 0.2 0.125 6.0285409 8e+06 8481.00080
## 173 0.08882122 1.09 1.09 0.2 0.125 6.2223282 8e+06 8518.04716
## 174 0.08688764 1.09 1.09 0.2 0.125 7.7130614 8e+06 8614.40015
## 175 0.09089189 1.09 1.09 0.2 0.125 9.4122709 8e+06 8762.98374
## 176 0.08531437 1.09 1.09 0.2 0.125 11.0690923 8e+06 8858.39216
## 177 0.08713560 1.09 1.09 0.2 0.125 11.7760965 8e+06 8883.02515
## 178 0.08783020 1.09 1.09 0.2 0.125 11.0994763 8e+06 8945.49652
## 179 0.08874172 1.09 1.09 0.2 0.125 10.4198683 8e+06 8921.64013
## 180 0.09286920 1.09 1.09 0.2 0.125 10.6784405 8e+06 8959.57170
## 181 0.09258888 1.09 1.09 0.2 0.125 11.8413668 8e+06 8957.99094
## 182 0.09005899 1.09 1.09 0.2 0.125 12.1892516 8e+06 9063.00878
## 183 0.09899614 1.09 1.09 0.2 0.125 12.3138492 8e+06 9085.16969
## 184 0.10017167 1.09 1.09 0.2 0.125 11.4310163 8e+06 8972.32320
## 185 0.09806001 1.09 1.09 0.2 0.125 9.8030313 8e+06 8785.25702
## 186 0.09855029 1.09 1.09 0.2 0.125 9.8950235 8e+06 8842.69670
## 187 0.10045892 1.09 1.09 0.2 0.125 8.7484373 8e+06 8864.57279
## 188 0.10336509 1.09 1.09 0.2 0.125 8.5112130 8e+06 8836.76597
## 189 0.10308855 1.09 1.09 0.2 0.125 8.4296461 8e+06 8957.97000
## 190 0.09783787 1.09 1.09 0.2 0.125 8.7859610 8e+06 9091.83698
## 191 0.09723624 1.09 1.09 0.2 0.125 9.4529839 8e+06 9138.97094
## 192 0.09915059 1.09 1.09 0.2 0.125 10.1540886 8e+06 9272.38166
## 193 0.10232004 1.09 1.09 0.2 0.125 10.9874867 8e+06 9365.96295
## 194 0.10153399 1.09 1.09 0.2 0.125 12.0843611 8e+06 9145.93095
## 195 0.10119045 1.09 1.09 0.2 0.125 12.6072145 8e+06 9198.14074
## 196 0.09998696 1.09 1.09 0.2 0.125 14.0701450 8e+06 9304.84004
## 197 0.10134477 1.09 1.09 0.2 0.125 14.3384751 8e+06 9307.48177
## 198 0.10091761 1.09 1.09 0.2 0.125 13.9506684 8e+06 9356.71583
## 199 0.09999409 1.09 1.09 0.2 0.125 13.4585035 8e+06 9430.02226
## 200 0.09730079 1.09 1.09 0.2 0.125 12.7737693 8e+06 9484.32700
## 201 0.09827216 1.09 1.09 0.2 0.125 12.7289491 8e+06 9511.05477
## 202 0.10076895 1.09 1.09 0.2 0.125 12.4197103 8e+06 9585.55354
## 203 0.09939346 1.09 1.09 0.2 0.125 12.3796696 8e+06 9702.04866
## 204 0.10510494 1.09 1.09 0.2 0.125 13.5026673 8e+06 9535.93581
## 205 0.10845956 1.09 1.09 0.2 0.125 11.6791061 8e+06 9417.06561
## 206 0.10462123 1.09 1.09 0.2 0.125 11.8984936 8e+06 9419.08077
## 207 0.10247108 1.09 1.09 0.2 0.125 11.0355155 8e+06 9648.82752
## 208 0.10247108 1.09 1.09 0.2 0.125 11.0355155 8e+06 9648.82752
## 209 0.18802375 1.09 1.09 0.2 0.125 0.4741656 8e+06 10973.77463
## 210 0.18802375 1.09 1.09 0.2 0.125 0.4741656 8e+06 10973.77463
## 211 0.18772650 1.09 1.09 0.2 0.125 0.4428552 8e+06 10764.44672
## 212 0.20756196 1.09 1.09 0.2 0.125 0.6539657 8e+06 10873.21844
## 213 0.16381211 1.09 1.09 0.2 0.125 0.3971104 8e+06 10978.64425
## 214 0.13131680 1.09 1.09 0.2 0.125 0.4413005 8e+06 11056.79429
## 215 0.13851534 1.09 1.09 0.2 0.125 0.3723677 8e+06 11152.91288
## 216 0.10423810 1.09 1.09 0.2 0.125 0.4546540 8e+06 11297.30299
## 217 0.08671244 1.09 1.09 0.2 0.125 0.6193903 8e+06 11700.36192
## 218 0.08056048 1.09 1.09 0.2 0.125 0.6253131 8e+06 11594.73053
## 219 0.08265434 1.09 1.09 0.2 0.125 0.6029770 8e+06 11671.43216
## 220 0.08326822 1.09 1.09 0.2 0.125 0.6295618 8e+06 11793.93286
## 221 0.07481824 1.09 1.09 0.2 0.125 0.7566971 8e+06 11787.26609
## 222 0.06729496 1.09 1.09 0.2 0.125 0.7359768 8e+06 11736.75811
## 223 0.06372760 1.09 1.09 0.2 0.125 0.7339082 8e+06 11671.63546
## 224 0.06651446 1.09 1.09 0.2 0.125 0.6794738 8e+06 11775.81696
## 225 0.06643929 1.09 1.09 0.2 0.125 0.6886129 8e+06 11864.02505
## 226 0.06166994 1.09 1.09 0.2 0.125 0.7174852 8e+06 12348.91189
## 227 0.05861786 1.09 1.09 0.2 0.125 0.7243661 8e+06 12590.03669
## 228 0.06164158 1.09 1.09 0.2 0.125 0.6743868 8e+06 12612.08625
## 229 0.06045458 1.09 1.09 0.2 0.125 0.7000227 8e+06 12707.16883
## 230 0.06050459 1.09 1.09 0.2 0.125 0.7518900 8e+06 12670.69443
## 231 0.05574853 1.09 1.09 0.2 0.125 0.7974482 8e+06 12454.50045
## 232 0.05986124 1.09 1.09 0.2 0.125 0.5798608 8e+06 12614.14734
## 233 0.05998024 1.09 1.09 0.2 0.125 0.5919867 8e+06 12701.07351
## 234 0.06681121 1.09 1.09 0.2 0.125 0.5931722 8e+06 12782.88850
## 235 0.06189545 1.09 1.09 0.2 0.125 0.7528906 8e+06 12661.32896
## 236 0.06517571 1.09 1.09 0.2 0.125 0.7906002 8e+06 12553.29006
## 237 0.06481113 1.09 1.09 0.2 0.125 0.8855044 8e+06 12466.63958
## 238 0.06835330 1.09 1.09 0.2 0.125 0.9289068 8e+06 12456.41495
## 239 0.06197467 1.09 1.09 0.2 0.125 0.9330602 8e+06 12609.60434
## 240 0.06275449 1.09 1.09 0.2 0.125 0.9045399 8e+06 12621.37971
## 241 0.06808584 1.09 1.09 0.2 0.125 1.0604068 8e+06 12636.70858
## 242 0.08691478 1.09 1.09 0.2 0.125 1.2415017 8e+06 12771.69728
## 243 0.09263874 1.09 1.09 0.2 0.125 1.2714243 8e+06 12830.93922
## 244 0.10016963 1.09 1.09 0.2 0.125 1.2335868 8e+06 12919.46734
## 245 0.10620137 1.09 1.09 0.2 0.125 1.3821297 8e+06 13147.74623
## 246 0.10474029 1.09 1.09 0.2 0.125 1.4362167 8e+06 13150.11195
## 247 0.10535971 1.09 1.09 0.2 0.125 1.4902815 8e+06 13139.37785
## 248 0.10317656 1.09 1.09 0.2 0.125 1.5406279 8e+06 13181.48010
## 249 0.10017385 1.09 1.09 0.2 0.125 1.5622038 8e+06 13219.89598
## 250 0.10288123 1.09 1.09 0.2 0.125 1.5563740 8e+06 13287.59456
## 251 0.10190608 1.09 1.09 0.2 0.125 1.5709666 8e+06 13411.27396
## 252 0.10657610 1.09 1.09 0.2 0.125 1.6138079 8e+06 13450.34374
## 253 0.10645599 1.09 1.09 0.2 0.125 1.6696347 8e+06 13444.86179
## 254 0.11070545 1.09 1.09 0.2 0.125 1.4939395 8e+06 13574.58213
## 255 0.10838733 1.09 1.09 0.2 0.125 1.4959921 8e+06 13869.93661
## 256 0.10472359 1.09 1.09 0.2 0.125 1.5067499 8e+06 13931.08213
## 257 0.10127059 1.09 1.09 0.2 0.125 1.6501650 8e+06 13964.83024
## 258 0.10721802 1.09 1.09 0.2 0.125 1.6244578 8e+06 13874.21521
## 259 0.10706643 1.09 1.09 0.2 0.125 1.5806731 8e+06 13878.84843
## 260 0.10547480 1.09 1.09 0.2 0.125 1.6777181 8e+06 14054.47093
## 261 0.10547480 1.09 1.09 0.2 0.125 1.6777181 8e+06 14054.47093
## 262 0.10479933 1.09 1.09 0.2 0.125 1.7025366 8e+06 14157.81381
## 263 0.10792029 1.09 1.09 0.2 0.125 1.7531655 8e+06 14060.14010
## 264 0.10929973 1.09 1.09 0.2 0.125 1.6247308 8e+06 14189.10283
## 265 0.10159660 1.09 1.09 0.2 0.125 1.5538959 8e+06 14167.80432
## 266 0.09850316 1.09 1.09 0.2 0.125 1.9108938 8e+06 14389.61087
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## 493 0.51628640 1.09 1.09 0.2 0.125 4.3305768 8e+06 12131.15472
## 494 0.53801777 1.09 1.09 0.2 0.125 5.0852151 8e+06 12485.36294
## 495 0.53774922 1.09 1.09 0.2 0.125 5.5426654 8e+06 12723.61865
## 496 0.57513183 1.09 1.09 0.2 0.125 5.3864014 8e+06 13014.04525
## 497 0.56735076 1.09 1.09 0.2 0.125 6.0749435 8e+06 12916.12130
## 498 0.58956302 1.09 1.09 0.2 0.125 7.1002946 8e+06 13187.49911
## 499 0.58499005 1.09 1.09 0.2 0.125 7.2456879 8e+06 13215.37939
## 500 0.56814202 1.09 1.09 0.2 0.125 6.5993624 8e+06 13097.84231
## 501 0.55033515 1.09 1.09 0.2 0.125 6.7832752 8e+06 13139.17156
## 502 0.56168019 1.09 1.09 0.2 0.125 7.3115218 8e+06 13153.29278
## 503 0.57036713 1.09 1.09 0.2 0.125 7.6455889 8e+06 13309.95782
## 504 0.59819792 1.09 1.09 0.2 0.125 6.8040346 8e+06 13187.16276
## 505 0.59398323 1.09 1.09 0.2 0.125 6.9463154 8e+06 13306.65181
## 506 0.59057954 1.09 1.09 0.2 0.125 7.4282085 8e+06 13254.92832
## 507 0.59220830 1.09 1.09 0.2 0.125 7.4801230 8e+06 13613.34656
## 508 0.58956538 1.09 1.09 0.2 0.125 7.3888166 8e+06 13683.80445
## 509 0.57934688 1.09 1.09 0.2 0.125 6.9587065 8e+06 13560.63289
## 510 0.58226550 1.09 1.09 0.2 0.125 6.8280245 8e+06 13651.40649
## 511 0.58771894 1.09 1.09 0.2 0.125 6.8675526 8e+06 13839.12594
## 512 0.59317474 1.09 1.09 0.2 0.125 6.5389069 8e+06 13955.10571
## 513 0.59994369 1.09 1.09 0.2 0.125 6.5056211 8e+06 14013.85310
## 514 0.60891990 1.09 1.09 0.2 0.125 6.1866789 8e+06 13994.71008
## 515 0.60926174 1.09 1.09 0.2 0.125 5.4914680 8e+06 14177.04748
## 516 0.60010155 1.09 1.09 0.2 0.125 5.2740555 8e+06 14339.84255
## 517 0.59780054 1.09 1.09 0.2 0.125 4.9889283 8e+06 14414.56820
## 518 0.58626123 1.09 1.09 0.2 0.125 4.8454690 8e+06 14531.35347
## 519 0.59219261 1.09 1.09 0.2 0.125 4.7669082 8e+06 14547.10302
## 520 0.59219261 1.09 1.09 0.2 0.125 4.7669082 8e+06 14547.10302
## 521 0.13208149 1.09 1.09 0.2 0.125 0.9234459 8e+06 6240.54942
## 522 0.13208149 1.09 1.09 0.2 0.125 0.9234459 8e+06 6240.54942
## 523 0.12166579 1.09 1.09 0.2 0.125 1.0714595 8e+06 6293.12699
## 524 0.09200159 1.09 1.09 0.2 0.125 1.0762891 8e+06 6682.79303
## 525 0.11136002 1.09 1.09 0.2 0.125 0.9923407 8e+06 6637.39896
## 526 0.12026366 1.09 1.09 0.2 0.125 0.7733995 8e+06 6759.63628
## 527 0.17075441 1.09 1.09 0.2 0.125 1.0134237 8e+06 6779.06389
## 528 0.14568941 1.09 1.09 0.2 0.125 1.2439297 8e+06 6688.79664
## 529 0.13283636 1.09 1.09 0.2 0.125 1.2432535 8e+06 6714.84598
## 530 0.12057649 1.09 1.09 0.2 0.125 1.7703355 8e+06 6672.68532
## 531 0.13092935 1.09 1.09 0.2 0.125 1.8416539 8e+06 6719.93403
## 532 0.12656985 1.09 1.09 0.2 0.125 1.7876105 8e+06 6704.15812
## 533 0.14705871 1.09 1.09 0.2 0.125 1.6397151 8e+06 6638.50356
## 534 0.17403839 1.09 1.09 0.2 0.125 1.7025599 8e+06 6630.36297
## 535 0.19337359 1.09 1.09 0.2 0.125 1.8097358 8e+06 6524.88069
## 536 0.22546271 1.09 1.09 0.2 0.125 1.9717548 8e+06 6372.97731
## 537 0.28174970 1.09 1.09 0.2 0.125 2.0348730 8e+06 6358.79149
## 538 0.34477665 1.09 1.09 0.2 0.125 2.1703580 8e+06 6756.01672
## 539 0.35061056 1.09 1.09 0.2 0.125 2.1032639 8e+06 6834.87077
## 540 0.40332654 1.09 1.09 0.2 0.125 1.9874474 8e+06 6666.04976
## 541 0.43996438 1.09 1.09 0.2 0.125 1.8637090 8e+06 6518.69874
## 542 0.44017838 1.09 1.09 0.2 0.125 1.8181070 8e+06 6539.15877
## 543 0.44287369 1.09 1.09 0.2 0.125 1.7019162 8e+06 6606.73139
## 544 0.46393380 1.09 1.09 0.2 0.125 1.9212327 8e+06 6483.06417
## 545 0.47082640 1.09 1.09 0.2 0.125 2.1635571 8e+06 6509.07720
## 546 0.45568283 1.09 1.09 0.2 0.125 2.3171438 8e+06 6612.39305
## 547 0.46585247 1.09 1.09 0.2 0.125 1.7206621 8e+06 6614.93517
## 548 0.46259000 1.09 1.09 0.2 0.125 2.1421911 8e+06 6524.23842
## 549 0.45471216 1.09 1.09 0.2 0.125 2.2527382 8e+06 6534.38939
## 550 0.46874190 1.09 1.09 0.2 0.125 2.2715031 8e+06 6514.21080
## 551 0.47138471 1.09 1.09 0.2 0.125 2.5645559 8e+06 6588.73483
## 552 0.47638596 1.09 1.09 0.2 0.125 2.3620024 8e+06 6617.32393
## 553 0.48946500 1.09 1.09 0.2 0.125 2.3540746 8e+06 6666.43662
## 554 0.50681015 1.09 1.09 0.2 0.125 2.0538504 8e+06 6693.75773
## 555 0.51550592 1.09 1.09 0.2 0.125 2.1607218 8e+06 6654.20694
## 556 0.53676126 1.09 1.09 0.2 0.125 2.1645371 8e+06 6629.04081
## 557 0.53188899 1.09 1.09 0.2 0.125 2.2773386 8e+06 6607.03434
## 558 0.54144826 1.09 1.09 0.2 0.125 2.3240479 8e+06 6583.41567
## 559 0.52206153 1.09 1.09 0.2 0.125 2.2622564 8e+06 6686.57600
## 560 0.51753721 1.09 1.09 0.2 0.125 2.2757801 8e+06 6727.48702
## 561 0.51210581 1.09 1.09 0.2 0.125 2.1787034 8e+06 6810.92072
## 562 0.50756205 1.09 1.09 0.2 0.125 2.2584386 8e+06 6810.95157
## 563 0.50949579 1.09 1.09 0.2 0.125 2.3782026 8e+06 6881.58769
## 564 0.49140841 1.09 1.09 0.2 0.125 2.3234950 8e+06 6865.60492
## 565 0.49450758 1.09 1.09 0.2 0.125 2.5124485 8e+06 6813.78208
## 566 0.48449624 1.09 1.09 0.2 0.125 2.4345088 8e+06 6986.58072
## 567 0.49243027 1.09 1.09 0.2 0.125 2.1285383 8e+06 7001.75765
## 568 0.51107701 1.09 1.09 0.2 0.125 2.3831990 8e+06 7145.87794
## 569 0.52059218 1.09 1.09 0.2 0.125 2.2159697 8e+06 7071.90210
## 570 0.52836724 1.09 1.09 0.2 0.125 2.4204761 8e+06 7412.79997
## 571 0.54655433 1.09 1.09 0.2 0.125 2.5705751 8e+06 7611.91682
## 572 0.54946967 1.09 1.09 0.2 0.125 2.7236884 8e+06 7737.97263
## 573 0.54946967 1.09 1.09 0.2 0.125 2.7236884 8e+06 7737.97263
## 574 0.57665508 1.09 1.09 0.2 0.125 2.7815817 8e+06 7782.25611
## 575 0.58997629 1.09 1.09 0.2 0.125 2.7696407 8e+06 7794.69873
## 576 0.57703881 1.09 1.09 0.2 0.125 2.5694050 8e+06 7741.58849
## 577 0.54987155 1.09 1.09 0.2 0.125 2.4592455 8e+06 7779.10764
## 578 0.55078219 1.09 1.09 0.2 0.125 1.9210598 8e+06 7702.64048
## 579 0.55035378 1.09 1.09 0.2 0.125 2.2180118 8e+06 7841.53625
## 580 0.57515914 1.09 1.09 0.2 0.125 2.0164348 8e+06 7916.17804
## 581 0.56021779 1.09 1.09 0.2 0.125 2.0891383 8e+06 7858.16663
## 582 0.58766021 1.09 1.09 0.2 0.125 1.7138658 8e+06 8101.93172
## 583 0.58307032 1.09 1.09 0.2 0.125 1.8293072 8e+06 8184.37517
## 584 0.56812310 1.09 1.09 0.2 0.125 1.6546664 8e+06 7954.87382
## 585 0.55952709 1.09 1.09 0.2 0.125 1.6970469 8e+06 7970.10164
## 586 0.56406813 1.09 1.09 0.2 0.125 1.7866017 8e+06 7961.73833
## 587 0.56748015 1.09 1.09 0.2 0.125 1.7931821 8e+06 7925.65423
## 588 0.54962366 1.09 1.09 0.2 0.125 1.8733965 8e+06 7943.88249
## 589 0.55101258 1.09 1.09 0.2 0.125 1.7534334 8e+06 7846.43624
## 590 0.56348322 1.09 1.09 0.2 0.125 1.8266101 8e+06 7765.11359
## 591 0.57575908 1.09 1.09 0.2 0.125 1.8881563 8e+06 7711.40142
## 592 0.57409174 1.09 1.09 0.2 0.125 1.6945302 8e+06 7632.76297
## 593 0.57762990 1.09 1.09 0.2 0.125 1.5685025 8e+06 7574.21511
## 594 0.58513243 1.09 1.09 0.2 0.125 1.6598107 8e+06 7566.70468
## 595 0.58095198 1.09 1.09 0.2 0.125 1.4557920 8e+06 7601.87631
## 596 0.55786613 1.09 1.09 0.2 0.125 1.3470585 8e+06 7776.85315
## 597 0.54722598 1.09 1.09 0.2 0.125 1.1286982 8e+06 7894.59429
## 598 0.56966533 1.09 1.09 0.2 0.125 0.9771100 8e+06 7987.36649
## 599 0.54879896 1.09 1.09 0.2 0.125 0.9314836 8e+06 8037.21067
## 600 0.53897873 1.09 1.09 0.2 0.125 1.0224003 8e+06 8204.63883
## 601 0.54485249 1.09 1.09 0.2 0.125 1.1070334 8e+06 8280.05371
## 602 0.55106140 1.09 1.09 0.2 0.125 1.0681499 8e+06 8311.56202
## 603 0.55788333 1.09 1.09 0.2 0.125 1.3544690 8e+06 8304.46565
## 604 0.55289296 1.09 1.09 0.2 0.125 1.2678757 8e+06 8478.18143
## 605 0.55122782 1.09 1.09 0.2 0.125 1.3729125 8e+06 8505.87394
## 606 0.55014370 1.09 1.09 0.2 0.125 1.3246407 8e+06 8533.50683
## 607 0.54699810 1.09 1.09 0.2 0.125 1.3302284 8e+06 8536.35391
## 608 0.55687405 1.09 1.09 0.2 0.125 1.1566827 8e+06 8551.05628
## 609 0.55316240 1.09 1.09 0.2 0.125 1.2251623 8e+06 8749.69606
## 610 0.55919702 1.09 1.09 0.2 0.125 1.2888624 8e+06 8708.72841
## 611 0.57053163 1.09 1.09 0.2 0.125 1.2251109 8e+06 8862.69803
## 612 0.54856098 1.09 1.09 0.2 0.125 1.1921134 8e+06 8754.20118
## 613 0.56812845 1.09 1.09 0.2 0.125 1.2650740 8e+06 8948.06106
## 614 0.54627388 1.09 1.09 0.2 0.125 1.2443650 8e+06 9171.96976
## 615 0.53884077 1.09 1.09 0.2 0.125 1.2884177 8e+06 9294.41718
## 616 0.54952350 1.09 1.09 0.2 0.125 1.3080865 8e+06 9292.43480
## 617 0.54914915 1.09 1.09 0.2 0.125 1.1487685 8e+06 9363.10867
## 618 0.55719114 1.09 1.09 0.2 0.125 1.0913314 8e+06 9401.48882
## 619 0.55530418 1.09 1.09 0.2 0.125 1.1878092 8e+06 9423.53197
## 620 0.53934056 1.09 1.09 0.2 0.125 1.1573913 8e+06 9378.28299
## 621 0.54972069 1.09 1.09 0.2 0.125 1.3830970 8e+06 9432.23889
## 622 0.55462832 1.09 1.09 0.2 0.125 1.3217762 8e+06 9401.44201
## 623 0.55584862 1.09 1.09 0.2 0.125 1.3527181 8e+06 9482.47164
## 624 0.55584862 1.09 1.09 0.2 0.125 1.3527181 8e+06 9482.47164
## 625 0.11104460 1.09 1.09 0.2 0.125 0.2828448 8e+06 1797.67050
## 626 0.11104460 1.09 1.09 0.2 0.125 0.2828448 8e+06 1797.67050
## 627 0.11537820 1.09 1.09 0.2 0.125 0.2554930 8e+06 1802.51893
## 628 0.10943075 1.09 1.09 0.2 0.125 0.3441652 8e+06 1812.72462
## 629 0.07760312 1.09 1.09 0.2 0.125 0.4040411 8e+06 1890.42855
## 630 0.06831175 1.09 1.09 0.2 0.125 0.4246190 8e+06 1918.18567
## 631 0.05844315 1.09 1.09 0.2 0.125 0.5921138 8e+06 1935.18633
## 632 0.05929286 1.09 1.09 0.2 0.125 0.6010357 8e+06 1906.67300
## 633 0.07189392 1.09 1.09 0.2 0.125 0.6323781 8e+06 1874.90847
## 634 0.07696384 1.09 1.09 0.2 0.125 0.6816100 8e+06 1786.77737
## 635 0.08988102 1.09 1.09 0.2 0.125 0.7259261 8e+06 1772.89827
## 636 0.07761787 1.09 1.09 0.2 0.125 0.7801869 8e+06 1777.18780
## 637 0.08552099 1.09 1.09 0.2 0.125 0.7725230 8e+06 1812.49629
## 638 0.08414798 1.09 1.09 0.2 0.125 0.8009492 8e+06 1831.02545
## 639 0.10118960 1.09 1.09 0.2 0.125 0.8413752 8e+06 1777.92769
## 640 0.11063318 1.09 1.09 0.2 0.125 0.8836009 8e+06 1768.38491
## 641 0.10293760 1.09 1.09 0.2 0.125 0.9346452 8e+06 1753.21905
## 642 0.10272231 1.09 1.09 0.2 0.125 0.9447261 8e+06 1795.12514
## 643 0.10614504 1.09 1.09 0.2 0.125 0.8976881 8e+06 1825.73891
## 644 0.10839343 1.09 1.09 0.2 0.125 0.7491078 8e+06 1847.05346
## 645 0.10810948 1.09 1.09 0.2 0.125 0.8626452 8e+06 1819.59332
## 646 0.12330632 1.09 1.09 0.2 0.125 0.8459675 8e+06 1845.01363
## 647 0.13771171 1.09 1.09 0.2 0.125 1.0362864 8e+06 1833.41111
## 648 0.17044282 1.09 1.09 0.2 0.125 0.9993630 8e+06 1823.97273
## 649 0.21558314 1.09 1.09 0.2 0.125 0.8723001 8e+06 1861.02509
## 650 0.23728393 1.09 1.09 0.2 0.125 0.9788925 8e+06 1899.17726
## 651 0.27057939 1.09 1.09 0.2 0.125 1.1523874 8e+06 1934.79371
## 652 0.27455478 1.09 1.09 0.2 0.125 1.1614989 8e+06 1920.50468
## 653 0.31373145 1.09 1.09 0.2 0.125 1.6616319 8e+06 1927.48991
## 654 0.35724211 1.09 1.09 0.2 0.125 2.0141559 8e+06 1954.45550
## 655 0.36333122 1.09 1.09 0.2 0.125 1.9599707 8e+06 1950.76491
## 656 0.41063102 1.09 1.09 0.2 0.125 2.0708510 8e+06 1957.26292
## 657 0.43228400 1.09 1.09 0.2 0.125 1.9788876 8e+06 1946.36477
## 658 0.46283357 1.09 1.09 0.2 0.125 1.8575455 8e+06 1938.36431
## 659 0.49707189 1.09 1.09 0.2 0.125 1.7807647 8e+06 1940.26594
## 660 0.50731664 1.09 1.09 0.2 0.125 1.8421241 8e+06 1970.70751
## 661 0.48964606 1.09 1.09 0.2 0.125 2.2436840 8e+06 1967.57945
## 662 0.50362229 1.09 1.09 0.2 0.125 1.5640010 8e+06 1943.64655
## 663 0.54497273 1.09 1.09 0.2 0.125 1.5191330 8e+06 1982.34020
## 664 0.56001968 1.09 1.09 0.2 0.125 1.6373919 8e+06 1984.74371
## 665 0.55324506 1.09 1.09 0.2 0.125 1.7335242 8e+06 1960.88067
## 666 0.56383495 1.09 1.09 0.2 0.125 1.7921428 8e+06 1949.37298
## 667 0.54831366 1.09 1.09 0.2 0.125 1.8756795 8e+06 1930.39631
## 668 0.57052044 1.09 1.09 0.2 0.125 2.1765682 8e+06 1926.30013
## 669 0.55475992 1.09 1.09 0.2 0.125 1.9866995 8e+06 1942.33803
## 670 0.58754034 1.09 1.09 0.2 0.125 2.1395785 8e+06 1920.60281
## 671 0.54406247 1.09 1.09 0.2 0.125 1.8533488 8e+06 1915.03814
## 672 0.55278294 1.09 1.09 0.2 0.125 1.7556073 8e+06 1928.41813
## 673 0.57116456 1.09 1.09 0.2 0.125 1.7343214 8e+06 1954.13431
## 674 0.56856919 1.09 1.09 0.2 0.125 1.6788034 8e+06 1933.59804
## 675 0.56461199 1.09 1.09 0.2 0.125 1.8260720 8e+06 1937.89922
## 676 0.55283135 1.09 1.09 0.2 0.125 1.6545974 8e+06 1934.15398
## 677 0.55283135 1.09 1.09 0.2 0.125 1.6545974 8e+06 1934.15398
## 678 0.57141606 1.09 1.09 0.2 0.125 1.7054420 8e+06 1937.73306
## 679 0.58511016 1.09 1.09 0.2 0.125 1.8538260 8e+06 1943.29760
## 680 0.58919312 1.09 1.09 0.2 0.125 1.9597147 8e+06 1910.84801
## 681 0.55299239 1.09 1.09 0.2 0.125 1.8964711 8e+06 1907.20379
## 682 0.55732561 1.09 1.09 0.2 0.125 2.0478903 8e+06 1907.20709
## 683 0.53947679 1.09 1.09 0.2 0.125 2.3566646 8e+06 1900.34045
## 684 0.58182015 1.09 1.09 0.2 0.125 1.9894812 8e+06 1887.72554
## 685 0.56770154 1.09 1.09 0.2 0.125 2.1423324 8e+06 1880.97257
## 686 0.58838702 1.09 1.09 0.2 0.125 1.8997669 8e+06 1832.50409
## 687 0.57421191 1.09 1.09 0.2 0.125 2.1375861 8e+06 1802.86817
## 688 0.53315690 1.09 1.09 0.2 0.125 1.9385139 8e+06 1780.09756
## 689 0.51150136 1.09 1.09 0.2 0.125 1.2925608 8e+06 1827.40699
## 690 0.55107542 1.09 1.09 0.2 0.125 1.2417116 8e+06 1804.85971
## 691 0.58919970 1.09 1.09 0.2 0.125 1.3485233 8e+06 1781.93235
## 692 0.53253615 1.09 1.09 0.2 0.125 1.3371736 8e+06 1811.99122
## 693 0.52031877 1.09 1.09 0.2 0.125 1.3051811 8e+06 1805.58566
## 694 0.50323213 1.09 1.09 0.2 0.125 1.2208788 8e+06 1747.72780
## 695 0.52231553 1.09 1.09 0.2 0.125 1.0669166 8e+06 1763.03660
## 696 0.51886799 1.09 1.09 0.2 0.125 1.2236558 8e+06 1755.03064
## 697 0.50277783 1.09 1.09 0.2 0.125 1.0760521 8e+06 1744.47194
## 698 0.54096013 1.09 1.09 0.2 0.125 0.9962983 8e+06 1742.20776
## 699 0.51253005 1.09 1.09 0.2 0.125 1.1403399 8e+06 1791.42982
## 700 0.53266296 1.09 1.09 0.2 0.125 1.2436280 8e+06 1822.73518
## 701 0.54750631 1.09 1.09 0.2 0.125 1.2045465 8e+06 1810.40497
## 702 0.55182655 1.09 1.09 0.2 0.125 1.1667442 8e+06 1823.50249
## 703 0.52613015 1.09 1.09 0.2 0.125 1.0924097 8e+06 1855.02813
## 704 0.52686514 1.09 1.09 0.2 0.125 0.8929015 8e+06 1876.74072
## 705 0.54633533 1.09 1.09 0.2 0.125 0.9117005 8e+06 1906.07294
## 706 0.55420031 1.09 1.09 0.2 0.125 0.8779799 8e+06 1923.59358
## 707 0.55020232 1.09 1.09 0.2 0.125 0.9941186 8e+06 1908.51266
## 708 0.53271646 1.09 1.09 0.2 0.125 0.8854477 8e+06 1964.30677
## 709 0.56498524 1.09 1.09 0.2 0.125 0.8684483 8e+06 1983.37237
## 710 0.53560316 1.09 1.09 0.2 0.125 0.9561365 8e+06 1938.87470
## 711 0.54683118 1.09 1.09 0.2 0.125 0.9560135 8e+06 2006.68595
## 712 0.51609829 1.09 1.09 0.2 0.125 1.0407692 8e+06 2003.59713
## 713 0.53503405 1.09 1.09 0.2 0.125 0.9639839 8e+06 1975.37400
## 714 0.50711665 1.09 1.09 0.2 0.125 0.9589881 8e+06 2016.97395
## 715 0.50480490 1.09 1.09 0.2 0.125 0.9748346 8e+06 2041.59451
## 716 0.51368273 1.09 1.09 0.2 0.125 0.9444665 8e+06 2036.03826
## 717 0.52038179 1.09 1.09 0.2 0.125 0.9080435 8e+06 2040.86831
## 718 0.52125343 1.09 1.09 0.2 0.125 1.1369768 8e+06 2002.08733
## 719 0.54427604 1.09 1.09 0.2 0.125 0.9879311 8e+06 2035.34177
## 720 0.53276724 1.09 1.09 0.2 0.125 1.0520937 8e+06 2030.97110
## 721 0.50677457 1.09 1.09 0.2 0.125 1.1287733 8e+06 1991.63771
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## 945 0.50073490 1.09 1.09 0.2 0.125 0.3338492 8e+06 20336.61360
## 946 0.36447034 1.09 1.09 0.2 0.125 0.3191138 8e+06 20250.49585
## 947 0.28162776 1.09 1.09 0.2 0.125 0.4617516 8e+06 20415.66604
## 948 0.23542539 1.09 1.09 0.2 0.125 0.5690795 8e+06 20302.73035
## 949 0.22388264 1.09 1.09 0.2 0.125 0.7184818 8e+06 20986.88009
## 950 0.20915110 1.09 1.09 0.2 0.125 0.4577366 8e+06 21143.16860
## 951 0.19404726 1.09 1.09 0.2 0.125 0.4128026 8e+06 21280.85304
## 952 0.17980008 1.09 1.09 0.2 0.125 0.4389911 8e+06 21418.18619
## 953 0.18206567 1.09 1.09 0.2 0.125 0.5168057 8e+06 21601.36346
## 954 0.18423835 1.09 1.09 0.2 0.125 0.5933042 8e+06 21688.18336
## 955 0.19381801 1.09 1.09 0.2 0.125 0.5492342 8e+06 21320.84645
## 956 0.20828132 1.09 1.09 0.2 0.125 0.6017253 8e+06 22223.36239
## 957 0.22042690 1.09 1.09 0.2 0.125 0.6738762 8e+06 22278.03760
## 958 0.23751880 1.09 1.09 0.2 0.125 0.6994232 8e+06 22479.85309
## 959 0.25456709 1.09 1.09 0.2 0.125 0.7979597 8e+06 22576.73914
## 960 0.27101659 1.09 1.09 0.2 0.125 0.8686568 8e+06 22882.82857
## 961 0.29869854 1.09 1.09 0.2 0.125 0.8929397 8e+06 23190.48956
## 962 0.33058008 1.09 1.09 0.2 0.125 0.9010544 8e+06 23379.84445
## 963 0.39742554 1.09 1.09 0.2 0.125 0.8703561 8e+06 23024.05505
## 964 0.45191682 1.09 1.09 0.2 0.125 0.8798054 8e+06 23353.47831
## 965 0.47355348 1.09 1.09 0.2 0.125 0.9220117 8e+06 23171.21732
## 966 0.49557699 1.09 1.09 0.2 0.125 0.9478451 8e+06 23352.16094
## 967 0.51224251 1.09 1.09 0.2 0.125 0.9595065 8e+06 23263.74934
## 968 0.52113047 1.09 1.09 0.2 0.125 0.9434691 8e+06 23322.44895
## 969 0.53575861 1.09 1.09 0.2 0.125 1.0032945 8e+06 23361.34800
## 970 0.54486242 1.09 1.09 0.2 0.125 0.9515769 8e+06 23290.10952
## 971 0.55288779 1.09 1.09 0.2 0.125 0.8868461 8e+06 23244.79464
## 972 0.57986483 1.09 1.09 0.2 0.125 0.8838025 8e+06 23185.29365
## 973 0.58082043 1.09 1.09 0.2 0.125 0.8329450 8e+06 23321.57299
## 974 0.56880509 1.09 1.09 0.2 0.125 0.8969461 8e+06 23590.95748
## 975 0.57588901 1.09 1.09 0.2 0.125 0.8888876 8e+06 23539.71553
## 976 0.55805163 1.09 1.09 0.2 0.125 0.9110632 8e+06 23361.44090
## 977 0.55131337 1.09 1.09 0.2 0.125 0.9209783 8e+06 23356.61230
## 978 0.55932977 1.09 1.09 0.2 0.125 0.9539211 8e+06 23603.67028
## 979 0.57100654 1.09 1.09 0.2 0.125 1.0163703 8e+06 23925.50766
## 980 0.56150420 1.09 1.09 0.2 0.125 0.9641412 8e+06 24105.12619
## 981 0.56046060 1.09 1.09 0.2 0.125 0.9888528 8e+06 24039.75880
## 982 0.56741205 1.09 1.09 0.2 0.125 0.9898009 8e+06 24046.51262
## 983 0.55742573 1.09 1.09 0.2 0.125 1.0799104 8e+06 23818.20197
## 984 0.54730711 1.09 1.09 0.2 0.125 1.0552050 8e+06 23912.93313
## 985 0.54651039 1.09 1.09 0.2 0.125 1.0808056 8e+06 24078.96373
## 986 0.54153947 1.09 1.09 0.2 0.125 1.0961746 8e+06 24394.82084
## 987 0.54249592 1.09 1.09 0.2 0.125 1.2015851 8e+06 24569.12563
## 988 0.54655751 1.09 1.09 0.2 0.125 1.3004912 8e+06 25016.43291
## 989 0.54655751 1.09 1.09 0.2 0.125 1.3004912 8e+06 25016.43291
## 990 0.56854143 1.09 1.09 0.2 0.125 1.3517566 8e+06 25017.75197
## 991 0.57404901 1.09 1.09 0.2 0.125 1.3627160 8e+06 25116.42073
## 992 0.58903261 1.09 1.09 0.2 0.125 1.3870578 8e+06 25374.32509
## 993 0.61328417 1.09 1.09 0.2 0.125 1.4913716 8e+06 26029.79616
## 994 0.62499182 1.09 1.09 0.2 0.125 1.3771818 8e+06 26726.94631
## 995 0.62049556 1.09 1.09 0.2 0.125 1.4068880 8e+06 27324.57798
## 996 0.63253178 1.09 1.09 0.2 0.125 1.6166816 8e+06 27986.82288
## 997 0.61921976 1.09 1.09 0.2 0.125 1.6078045 8e+06 28252.02452
## 998 0.61763305 1.09 1.09 0.2 0.125 1.8950633 8e+06 28332.68129
## 999 0.59456468 1.09 1.09 0.2 0.125 1.7385052 8e+06 27935.59466
## 1000 0.61691293 1.09 1.09 0.2 0.125 1.8322468 8e+06 29067.50121
## 1001 0.60754379 1.09 1.09 0.2 0.125 2.1908045 8e+06 29074.50650
## 1002 0.61610312 1.09 1.09 0.2 0.125 1.8035638 8e+06 28914.50163
## 1003 0.61969607 1.09 1.09 0.2 0.125 1.5335540 8e+06 29183.88713
## 1004 0.62655822 1.09 1.09 0.2 0.125 1.5366204 8e+06 29643.55395
## 1005 0.62141070 1.09 1.09 0.2 0.125 1.8662739 8e+06 29695.16690
## 1006 0.59915771 1.09 1.09 0.2 0.125 1.8308571 8e+06 29854.57551
## 1007 0.58553276 1.09 1.09 0.2 0.125 1.7493866 8e+06 30186.48436
## 1008 0.60665650 1.09 1.09 0.2 0.125 1.9759705 8e+06 30383.06525
## 1009 0.61787534 1.09 1.09 0.2 0.125 1.8664600 8e+06 30178.03990
## 1010 0.61135170 1.09 1.09 0.2 0.125 2.3035076 8e+06 30261.65989
## 1011 0.60681877 1.09 1.09 0.2 0.125 1.6464678 8e+06 30741.28889
## 1012 0.61115138 1.09 1.09 0.2 0.125 1.6788199 8e+06 30430.65168
## 1013 0.60430004 1.09 1.09 0.2 0.125 1.7633357 8e+06 30870.02530
## 1014 0.59357369 1.09 1.09 0.2 0.125 1.6717037 8e+06 31086.51883
## 1015 0.59418238 1.09 1.09 0.2 0.125 1.9787971 8e+06 31482.20585
## 1016 0.59104328 1.09 1.09 0.2 0.125 2.0547325 8e+06 31604.68817
## 1017 0.59060793 1.09 1.09 0.2 0.125 2.0965402 8e+06 31429.74561
## 1018 0.58397400 1.09 1.09 0.2 0.125 2.1899692 8e+06 31484.08003
## 1019 0.58900085 1.09 1.09 0.2 0.125 2.0931161 8e+06 31908.67939
## 1020 0.60068946 1.09 1.09 0.2 0.125 2.1117561 8e+06 31847.96588
## 1021 0.58313749 1.09 1.09 0.2 0.125 2.0893261 8e+06 32052.94583
## 1022 0.58076858 1.09 1.09 0.2 0.125 2.3412751 8e+06 32132.77027
## 1023 0.57479674 1.09 1.09 0.2 0.125 2.5863171 8e+06 32556.29334
## 1024 0.57065364 1.09 1.09 0.2 0.125 3.0132106 8e+06 32715.08408
## 1025 0.57582952 1.09 1.09 0.2 0.125 3.3056363 8e+06 33170.58461
## 1026 0.58605514 1.09 1.09 0.2 0.125 3.3724775 8e+06 33350.64955
## 1027 0.58376203 1.09 1.09 0.2 0.125 3.9671280 8e+06 34035.02667
## 1028 0.58700025 1.09 1.09 0.2 0.125 3.8678688 8e+06 34253.98241
## 1029 0.58291330 1.09 1.09 0.2 0.125 3.9022755 8e+06 34485.99541
## 1030 0.58475142 1.09 1.09 0.2 0.125 3.8009443 8e+06 34589.26554
## 1031 0.59171744 1.09 1.09 0.2 0.125 3.9821170 8e+06 34600.81077
## 1032 0.58463786 1.09 1.09 0.2 0.125 3.7477847 8e+06 34988.39498
## 1033 0.58968310 1.09 1.09 0.2 0.125 3.7898434 8e+06 35173.67354
## 1034 0.59238165 1.09 1.09 0.2 0.125 3.7491326 8e+06 34860.39973
## 1035 0.57603088 1.09 1.09 0.2 0.125 3.6181772 8e+06 34881.17590
## 1036 0.56785048 1.09 1.09 0.2 0.125 4.0176609 8e+06 35005.71050
## 1037 0.57346646 1.09 1.09 0.2 0.125 3.8887498 8e+06 34839.38472
## 1038 0.57328540 1.09 1.09 0.2 0.125 4.0670550 8e+06 35151.76262
## 1039 0.57703005 1.09 1.09 0.2 0.125 4.6684418 8e+06 35473.83601
## 1040 0.57703005 1.09 1.09 0.2 0.125 4.6684418 8e+06 35473.83601
## 1041 0.25516120 1.09 1.09 0.2 0.125 0.9246429 8e+06 5445.35950
## 1042 0.25516120 1.09 1.09 0.2 0.125 0.9246429 8e+06 5445.35950
## 1043 0.27730680 1.09 1.09 0.2 0.125 0.9862752 8e+06 5329.07706
## 1044 0.25977233 1.09 1.09 0.2 0.125 0.9460488 8e+06 5169.01758
## 1045 0.23540716 1.09 1.09 0.2 0.125 0.8429488 8e+06 5194.73289
## 1046 0.23484545 1.09 1.09 0.2 0.125 0.7768982 8e+06 5181.05711
## 1047 0.20075763 1.09 1.09 0.2 0.125 0.8071256 8e+06 5234.48183
## 1048 0.21562515 1.09 1.09 0.2 0.125 0.5321951 8e+06 5309.47064
## 1049 0.18577827 1.09 1.09 0.2 0.125 0.4939984 8e+06 5290.37825
## 1050 0.14169276 1.09 1.09 0.2 0.125 0.3771739 8e+06 5350.62707
## 1051 0.11015049 1.09 1.09 0.2 0.125 0.4810592 8e+06 5306.67257
## 1052 0.09452397 1.09 1.09 0.2 0.125 0.5412984 8e+06 5309.65110
## 1053 0.09150312 1.09 1.09 0.2 0.125 0.6602160 8e+06 5327.69390
## 1054 0.08404588 1.09 1.09 0.2 0.125 0.8723178 8e+06 5334.65279
## 1055 0.07912095 1.09 1.09 0.2 0.125 1.0371839 8e+06 5340.37043
## 1056 0.07924342 1.09 1.09 0.2 0.125 1.1312907 8e+06 5398.29782
## 1057 0.08114290 1.09 1.09 0.2 0.125 1.2183037 8e+06 5454.47169
## 1058 0.07944322 1.09 1.09 0.2 0.125 1.3494561 8e+06 5482.96714
## 1059 0.07996579 1.09 1.09 0.2 0.125 1.4308666 8e+06 5445.60149
## 1060 0.08371264 1.09 1.09 0.2 0.125 1.3313159 8e+06 5414.67895
## 1061 0.08556989 1.09 1.09 0.2 0.125 1.5107637 8e+06 5342.74718
## 1062 0.08414193 1.09 1.09 0.2 0.125 1.5746753 8e+06 5346.51974
## 1063 0.08244150 1.09 1.09 0.2 0.125 1.6784034 8e+06 5282.58015
## 1064 0.08255706 1.09 1.09 0.2 0.125 1.7906521 8e+06 5293.68043
## 1065 0.07478214 1.09 1.09 0.2 0.125 1.8386450 8e+06 5339.93916
## 1066 0.07495605 1.09 1.09 0.2 0.125 1.6367428 8e+06 5465.13415
## 1067 0.06909869 1.09 1.09 0.2 0.125 1.7710959 8e+06 5442.35868
## 1068 0.05667088 1.09 1.09 0.2 0.125 1.7780710 8e+06 5568.35551
## 1069 0.05523651 1.09 1.09 0.2 0.125 1.9071453 8e+06 5735.97876
## 1070 0.05569392 1.09 1.09 0.2 0.125 1.8721880 8e+06 5758.81255
## 1071 0.05375470 1.09 1.09 0.2 0.125 2.0529817 8e+06 5793.83386
## 1072 0.05252460 1.09 1.09 0.2 0.125 2.2597558 8e+06 5776.70755
## 1073 0.05626354 1.09 1.09 0.2 0.125 2.8714434 8e+06 5806.37917
## 1074 0.05191093 1.09 1.09 0.2 0.125 3.1363241 8e+06 5754.21361
## 1075 0.05445324 1.09 1.09 0.2 0.125 3.0166416 8e+06 5802.03846
## 1076 0.05440657 1.09 1.09 0.2 0.125 3.2765659 8e+06 5809.26633
## 1077 0.05760636 1.09 1.09 0.2 0.125 3.6210026 8e+06 5828.73729
## 1078 0.06635122 1.09 1.09 0.2 0.125 3.1438591 8e+06 5870.21150
## 1079 0.06772500 1.09 1.09 0.2 0.125 2.8298664 8e+06 5896.14954
## 1080 0.07111136 1.09 1.09 0.2 0.125 2.9435952 8e+06 5899.96108
## 1081 0.06722914 1.09 1.09 0.2 0.125 3.2734797 8e+06 5855.54684
## 1082 0.06879626 1.09 1.09 0.2 0.125 3.2639528 8e+06 5895.30366
## 1083 0.07317219 1.09 1.09 0.2 0.125 3.2522261 8e+06 5902.41734
## 1084 0.07007053 1.09 1.09 0.2 0.125 3.3554533 8e+06 5942.26690
## 1085 0.06876593 1.09 1.09 0.2 0.125 3.3326107 8e+06 5959.36565
## 1086 0.07736044 1.09 1.09 0.2 0.125 3.4265839 8e+06 6013.72006
## 1087 0.07221952 1.09 1.09 0.2 0.125 3.4649996 8e+06 6013.91269
## 1088 0.07825699 1.09 1.09 0.2 0.125 3.9183256 8e+06 6066.72444
## 1089 0.07564505 1.09 1.09 0.2 0.125 4.1041603 8e+06 6107.84175
## 1090 0.07738374 1.09 1.09 0.2 0.125 4.1728691 8e+06 6136.52186
## 1091 0.07782687 1.09 1.09 0.2 0.125 4.0968038 8e+06 6169.55955
## 1092 0.08530759 1.09 1.09 0.2 0.125 3.7956749 8e+06 6172.96731
## 1093 0.08530759 1.09 1.09 0.2 0.125 3.7956749 8e+06 6172.96731
## 1094 0.08769624 1.09 1.09 0.2 0.125 3.7752868 8e+06 6185.46572
## 1095 0.08790193 1.09 1.09 0.2 0.125 4.1274299 8e+06 6255.45703
## 1096 0.08346895 1.09 1.09 0.2 0.125 4.2133434 8e+06 6271.42939
## 1097 0.08458984 1.09 1.09 0.2 0.125 4.1658666 8e+06 6309.94086
## 1098 0.07790177 1.09 1.09 0.2 0.125 3.8910751 8e+06 6322.00796
## 1099 0.08129259 1.09 1.09 0.2 0.125 4.2502088 8e+06 6449.05641
## 1100 0.08209499 1.09 1.09 0.2 0.125 3.3040735 8e+06 6552.17516
## 1101 0.08070951 1.09 1.09 0.2 0.125 3.2324339 8e+06 6546.67807
## 1102 0.07471987 1.09 1.09 0.2 0.125 3.8628414 8e+06 6559.66004
## 1103 0.08286856 1.09 1.09 0.2 0.125 4.8401545 8e+06 6397.20782
## 1104 0.07756204 1.09 1.09 0.2 0.125 4.9946994 8e+06 6549.82358
## 1105 0.07470862 1.09 1.09 0.2 0.125 5.3853543 8e+06 6549.22955
## 1106 0.07381061 1.09 1.09 0.2 0.125 4.8475296 8e+06 6642.70443
## 1107 0.06893957 1.09 1.09 0.2 0.125 5.2568468 8e+06 6625.71649
## 1108 0.07653639 1.09 1.09 0.2 0.125 4.5829087 8e+06 6794.26669
## 1109 0.07663924 1.09 1.09 0.2 0.125 4.4967219 8e+06 6636.11758
## 1110 0.08023708 1.09 1.09 0.2 0.125 3.9930736 8e+06 6660.59976
## 1111 0.07941857 1.09 1.09 0.2 0.125 3.9744793 8e+06 6641.59184
## 1112 0.08653577 1.09 1.09 0.2 0.125 3.8659845 8e+06 6810.41102
## 1113 0.09122217 1.09 1.09 0.2 0.125 4.8280621 8e+06 6973.81012
## 1114 0.09242299 1.09 1.09 0.2 0.125 4.8259665 8e+06 6985.76128
## 1115 0.09318470 1.09 1.09 0.2 0.125 4.8057248 8e+06 7031.99761
## 1116 0.09200544 1.09 1.09 0.2 0.125 4.4356926 8e+06 6970.70550
## 1117 0.09133466 1.09 1.09 0.2 0.125 4.5084731 8e+06 6974.61368
## 1118 0.08868699 1.09 1.09 0.2 0.125 4.5573317 8e+06 7000.85955
## 1119 0.09149282 1.09 1.09 0.2 0.125 4.8735764 8e+06 7027.05794
## 1120 0.09751156 1.09 1.09 0.2 0.125 4.9560886 8e+06 7071.18209
## 1121 0.09893303 1.09 1.09 0.2 0.125 4.9039563 8e+06 7123.54038
## 1122 0.09785876 1.09 1.09 0.2 0.125 4.8644709 8e+06 7136.49628
## 1123 0.09787396 1.09 1.09 0.2 0.125 4.9312896 8e+06 7211.86625
## 1124 0.09921299 1.09 1.09 0.2 0.125 4.7775131 8e+06 7238.23067
## 1125 0.10354182 1.09 1.09 0.2 0.125 4.3032389 8e+06 7303.44812
## 1126 0.10566789 1.09 1.09 0.2 0.125 4.1771904 8e+06 7366.21319
## 1127 0.10824797 1.09 1.09 0.2 0.125 4.1080807 8e+06 7363.20483
## 1128 0.10568097 1.09 1.09 0.2 0.125 4.0961060 8e+06 7400.36233
## 1129 0.10118877 1.09 1.09 0.2 0.125 3.9174570 8e+06 7507.35725
## 1130 0.10507003 1.09 1.09 0.2 0.125 3.6555050 8e+06 7482.13563
## 1131 0.10600849 1.09 1.09 0.2 0.125 3.7186116 8e+06 7533.76915
## 1132 0.10961216 1.09 1.09 0.2 0.125 3.6061232 8e+06 7483.89854
## 1133 0.10913183 1.09 1.09 0.2 0.125 3.5321885 8e+06 7436.76524
## 1134 0.11228788 1.09 1.09 0.2 0.125 3.7067665 8e+06 7503.05048
## 1135 0.10919601 1.09 1.09 0.2 0.125 3.5362352 8e+06 7494.27168
## 1136 0.10995219 1.09 1.09 0.2 0.125 3.6694386 8e+06 7522.66136
## 1137 0.11290829 1.09 1.09 0.2 0.125 3.7783217 8e+06 7526.37833
## 1138 0.11339830 1.09 1.09 0.2 0.125 3.9011440 8e+06 7543.38844
## 1139 0.10918515 1.09 1.09 0.2 0.125 3.8450985 8e+06 7543.67897
## 1140 0.10741334 1.09 1.09 0.2 0.125 4.0039791 8e+06 7480.63183
## 1141 0.10445946 1.09 1.09 0.2 0.125 3.6908211 8e+06 7528.18318
## 1142 0.10825721 1.09 1.09 0.2 0.125 3.8511415 8e+06 7632.83224
## 1143 0.10555434 1.09 1.09 0.2 0.125 3.6943189 8e+06 7633.22607
## 1144 0.10555434 1.09 1.09 0.2 0.125 3.6943189 8e+06 7633.22607
## 1145 0.10398547 1.09 1.09 0.2 0.125 0.2297617 8e+06 13808.91963
## 1146 0.10398547 1.09 1.09 0.2 0.125 0.2297617 8e+06 13808.91963
## 1147 0.09080329 1.09 1.09 0.2 0.125 0.2197084 8e+06 13726.90895
## 1148 0.09113995 1.09 1.09 0.2 0.125 0.3297602 8e+06 13890.27851
## 1149 0.09497105 1.09 1.09 0.2 0.125 0.3394946 8e+06 14263.88306
## 1150 0.08166123 1.09 1.09 0.2 0.125 0.3675930 8e+06 13745.68401
## 1151 0.06461071 1.09 1.09 0.2 0.125 0.3892552 8e+06 13451.05831
## 1152 0.06555664 1.09 1.09 0.2 0.125 0.5419382 8e+06 13577.88338
## 1153 0.06906890 1.09 1.09 0.2 0.125 0.6035640 8e+06 13463.13132
## 1154 0.07445091 1.09 1.09 0.2 0.125 0.6322222 8e+06 13474.16237
## 1155 0.07275975 1.09 1.09 0.2 0.125 0.7027146 8e+06 13432.20036
## 1156 0.08121724 1.09 1.09 0.2 0.125 0.7933917 8e+06 13811.51894
## 1157 0.08490022 1.09 1.09 0.2 0.125 0.9427470 8e+06 13730.01886
## 1158 0.09042644 1.09 1.09 0.2 0.125 0.9830992 8e+06 13905.38912
## 1159 0.09495676 1.09 1.09 0.2 0.125 1.0000322 8e+06 14253.42846
## 1160 0.09544428 1.09 1.09 0.2 0.125 1.0017407 8e+06 14526.39692
## 1161 0.09533168 1.09 1.09 0.2 0.125 1.0214150 8e+06 14614.57544
## 1162 0.09514458 1.09 1.09 0.2 0.125 1.1274005 8e+06 15082.93516
## 1163 0.10101345 1.09 1.09 0.2 0.125 1.2348665 8e+06 15380.17269
## 1164 0.10862509 1.09 1.09 0.2 0.125 1.2720583 8e+06 15460.47268
## 1165 0.11014672 1.09 1.09 0.2 0.125 1.4089165 8e+06 15796.37757
## 1166 0.11435871 1.09 1.09 0.2 0.125 1.4215125 8e+06 16041.66501
## 1167 0.12310892 1.09 1.09 0.2 0.125 1.5329818 8e+06 16099.58125
## 1168 0.12784265 1.09 1.09 0.2 0.125 1.5687882 8e+06 16420.72090
## 1169 0.12755688 1.09 1.09 0.2 0.125 1.5358297 8e+06 16587.11653
## 1170 0.13262196 1.09 1.09 0.2 0.125 1.5873316 8e+06 16838.59807
## 1171 0.12112828 1.09 1.09 0.2 0.125 1.8409706 8e+06 16674.85280
## 1172 0.12350371 1.09 1.09 0.2 0.125 2.0100875 8e+06 16756.10009
## 1173 0.12101195 1.09 1.09 0.2 0.125 2.0724985 8e+06 16791.92327
## 1174 0.11260926 1.09 1.09 0.2 0.125 2.4423591 8e+06 16840.77766
## 1175 0.10917473 1.09 1.09 0.2 0.125 2.5541987 8e+06 16798.20866
## 1176 0.10956247 1.09 1.09 0.2 0.125 2.6023701 8e+06 17169.09088
## 1177 0.11050314 1.09 1.09 0.2 0.125 2.7145887 8e+06 17409.86965
## 1178 0.11181348 1.09 1.09 0.2 0.125 2.7194419 8e+06 17462.09737
## 1179 0.11022352 1.09 1.09 0.2 0.125 2.7193066 8e+06 17638.36507
## 1180 0.10994991 1.09 1.09 0.2 0.125 2.7031495 8e+06 17796.26754
## 1181 0.11452369 1.09 1.09 0.2 0.125 2.8101867 8e+06 17780.14221
## 1182 0.11573303 1.09 1.09 0.2 0.125 3.1263440 8e+06 17846.35858
## 1183 0.11837734 1.09 1.09 0.2 0.125 3.2305970 8e+06 18031.67754
## 1184 0.11537099 1.09 1.09 0.2 0.125 3.1135181 8e+06 18048.66257
## 1185 0.11095422 1.09 1.09 0.2 0.125 3.2219917 8e+06 18018.92087
## 1186 0.11231458 1.09 1.09 0.2 0.125 3.2720558 8e+06 18115.49996
## 1187 0.11571017 1.09 1.09 0.2 0.125 3.2087770 8e+06 18272.89958
## 1188 0.11389458 1.09 1.09 0.2 0.125 3.2556944 8e+06 18181.89622
## 1189 0.11412327 1.09 1.09 0.2 0.125 3.0802988 8e+06 18111.60237
## 1190 0.11676305 1.09 1.09 0.2 0.125 3.0537104 8e+06 18156.69608
## 1191 0.11571775 1.09 1.09 0.2 0.125 2.9023864 8e+06 18157.21619
## 1192 0.11385797 1.09 1.09 0.2 0.125 3.0640405 8e+06 18142.30384
## 1193 0.11148923 1.09 1.09 0.2 0.125 2.9768149 8e+06 18121.98439
## 1194 0.11390616 1.09 1.09 0.2 0.125 3.1548400 8e+06 18115.88130
## 1195 0.11386642 1.09 1.09 0.2 0.125 3.0163247 8e+06 18070.67488
## 1196 0.11430205 1.09 1.09 0.2 0.125 3.1709338 8e+06 18285.84490
## 1197 0.11430205 1.09 1.09 0.2 0.125 3.1709338 8e+06 18285.84490
## 1198 0.11781397 1.09 1.09 0.2 0.125 3.2320006 8e+06 18297.28472
## 1199 0.11931087 1.09 1.09 0.2 0.125 3.1910781 8e+06 18323.38844
## 1200 0.12147013 1.09 1.09 0.2 0.125 3.2576873 8e+06 18289.82205
## 1201 0.11769630 1.09 1.09 0.2 0.125 3.3610012 8e+06 18525.33472
## 1202 0.11651585 1.09 1.09 0.2 0.125 3.3402926 8e+06 18689.46853
## 1203 0.11967454 1.09 1.09 0.2 0.125 4.3954302 8e+06 19127.34899
## 1204 0.11722665 1.09 1.09 0.2 0.125 5.1450549 8e+06 19445.04971
## 1205 0.12584287 1.09 1.09 0.2 0.125 6.3034760 8e+06 20039.92705
## 1206 0.12844721 1.09 1.09 0.2 0.125 6.5224103 8e+06 20039.90499
## 1207 0.12672484 1.09 1.09 0.2 0.125 8.6958628 8e+06 20208.98779
## 1208 0.12850624 1.09 1.09 0.2 0.125 11.2189310 8e+06 20580.58104
## 1209 0.12675160 1.09 1.09 0.2 0.125 10.1383387 8e+06 20826.21187
## 1210 0.12645349 1.09 1.09 0.2 0.125 8.8411898 8e+06 20896.50124
## 1211 0.12256622 1.09 1.09 0.2 0.125 11.7955907 8e+06 21504.89998
## 1212 0.12509004 1.09 1.09 0.2 0.125 11.4072760 8e+06 21862.65411
## 1213 0.12384558 1.09 1.09 0.2 0.125 11.8941060 8e+06 21843.13718
## 1214 0.12679609 1.09 1.09 0.2 0.125 10.3716149 8e+06 22010.72413
## 1215 0.13005150 1.09 1.09 0.2 0.125 11.1221262 8e+06 22270.71089
## 1216 0.12345984 1.09 1.09 0.2 0.125 10.8281173 8e+06 22250.90787
## 1217 0.13561846 1.09 1.09 0.2 0.125 8.8002801 8e+06 22211.35574
## 1218 0.13458036 1.09 1.09 0.2 0.125 9.3634796 8e+06 22620.71035
## 1219 0.13468149 1.09 1.09 0.2 0.125 9.4127191 8e+06 22928.77245
## 1220 0.13247136 1.09 1.09 0.2 0.125 11.7152207 8e+06 22852.88117
## 1221 0.12912712 1.09 1.09 0.2 0.125 10.9445424 8e+06 22980.20221
## 1222 0.12780823 1.09 1.09 0.2 0.125 8.5061055 8e+06 22836.21745
## 1223 0.13127431 1.09 1.09 0.2 0.125 8.6347057 8e+06 23221.92712
## 1224 0.13502236 1.09 1.09 0.2 0.125 8.6105887 8e+06 23669.07499
## 1225 0.13651041 1.09 1.09 0.2 0.125 9.1458610 8e+06 23935.97793
## 1226 0.13715692 1.09 1.09 0.2 0.125 10.3271316 8e+06 24160.83531
## 1227 0.13346410 1.09 1.09 0.2 0.125 12.1016804 8e+06 24420.42741
## 1228 0.13158621 1.09 1.09 0.2 0.125 13.4783521 8e+06 24782.56824
## 1229 0.13389401 1.09 1.09 0.2 0.125 13.3903089 8e+06 24813.68490
## 1230 0.13295825 1.09 1.09 0.2 0.125 12.6949715 8e+06 24850.19003
## 1231 0.13379458 1.09 1.09 0.2 0.125 11.2694160 8e+06 25045.19308
## 1232 0.13847609 1.09 1.09 0.2 0.125 11.7686915 8e+06 25134.35299
## 1233 0.14224282 1.09 1.09 0.2 0.125 13.2914269 8e+06 25492.89557
## 1234 0.14453583 1.09 1.09 0.2 0.125 13.9413576 8e+06 25724.04246
## 1235 0.14274466 1.09 1.09 0.2 0.125 14.9910545 8e+06 25929.64604
## 1236 0.14378446 1.09 1.09 0.2 0.125 14.1932681 8e+06 26121.62242
## 1237 0.14475750 1.09 1.09 0.2 0.125 13.3743620 8e+06 26183.13299
## 1238 0.14464732 1.09 1.09 0.2 0.125 12.5726136 8e+06 26284.41397
## 1239 0.14271004 1.09 1.09 0.2 0.125 11.4078244 8e+06 26304.81568
## 1240 0.13962508 1.09 1.09 0.2 0.125 11.5176042 8e+06 26424.64512
## 1241 0.13956930 1.09 1.09 0.2 0.125 10.3861122 8e+06 26568.34721
## 1242 0.13852998 1.09 1.09 0.2 0.125 10.9969276 8e+06 26688.70234
## 1243 0.13802773 1.09 1.09 0.2 0.125 9.4722813 8e+06 26679.51393
## 1244 0.13985769 1.09 1.09 0.2 0.125 9.6153024 8e+06 26811.31380
## 1245 0.13829143 1.09 1.09 0.2 0.125 10.3100123 8e+06 26819.86658
## 1246 0.13851329 1.09 1.09 0.2 0.125 9.7626656 8e+06 26873.18068
## 1247 0.14130455 1.09 1.09 0.2 0.125 11.0325942 8e+06 27108.72298
## 1248 0.14130455 1.09 1.09 0.2 0.125 11.0325942 8e+06 27108.72298
## 1249 0.29512905 1.09 1.09 0.2 0.125 0.4773995 8e+06 19071.84623
## 1250 0.29512905 1.09 1.09 0.2 0.125 0.4773995 8e+06 19071.84623
## 1251 0.28913371 1.09 1.09 0.2 0.125 0.5340928 8e+06 19346.50802
## 1252 0.18602209 1.09 1.09 0.2 0.125 0.7545637 8e+06 19668.25829
## 1253 0.18115816 1.09 1.09 0.2 0.125 0.7994457 8e+06 19472.89164
## 1254 0.15307546 1.09 1.09 0.2 0.125 0.7915807 8e+06 20090.18207
## 1255 0.12439577 1.09 1.09 0.2 0.125 0.8472509 8e+06 20594.17981
## 1256 0.13385383 1.09 1.09 0.2 0.125 0.7374004 8e+06 21890.21748
## 1257 0.14300635 1.09 1.09 0.2 0.125 0.9840518 8e+06 22155.86004
## 1258 0.13438033 1.09 1.09 0.2 0.125 1.1342209 8e+06 22718.78531
## 1259 0.13024653 1.09 1.09 0.2 0.125 1.3060436 8e+06 23067.31398
## 1260 0.13296223 1.09 1.09 0.2 0.125 1.6833193 8e+06 22254.14885
## 1261 0.14500271 1.09 1.09 0.2 0.125 1.7936140 8e+06 22263.54124
## 1262 0.13168826 1.09 1.09 0.2 0.125 1.7867904 8e+06 22949.96416
## 1263 0.14239658 1.09 1.09 0.2 0.125 1.9361378 8e+06 22833.46471
## 1264 0.14555286 1.09 1.09 0.2 0.125 2.4027849 8e+06 22451.39884
## 1265 0.14817577 1.09 1.09 0.2 0.125 2.7096135 8e+06 22487.31751
## 1266 0.14185735 1.09 1.09 0.2 0.125 3.3521965 8e+06 22642.46492
## 1267 0.13676238 1.09 1.09 0.2 0.125 3.1067689 8e+06 22534.57015
## 1268 0.13141528 1.09 1.09 0.2 0.125 4.8011549 8e+06 22790.04329
## 1269 0.12562256 1.09 1.09 0.2 0.125 5.1811706 8e+06 22819.76287
## 1270 0.11576173 1.09 1.09 0.2 0.125 5.7737120 8e+06 23247.93714
## 1271 0.11942506 1.09 1.09 0.2 0.125 5.4500138 8e+06 23155.51746
## 1272 0.12717907 1.09 1.09 0.2 0.125 6.3634047 8e+06 23161.59101
## 1273 0.11680505 1.09 1.09 0.2 0.125 6.1406994 8e+06 23084.77836
## 1274 0.11052248 1.09 1.09 0.2 0.125 5.7640038 8e+06 23150.63656
## 1275 0.11682915 1.09 1.09 0.2 0.125 5.4912733 8e+06 23420.54924
## 1276 0.11759513 1.09 1.09 0.2 0.125 6.2078988 8e+06 24227.13177
## 1277 0.12585350 1.09 1.09 0.2 0.125 6.8337527 8e+06 24101.25857
## 1278 0.12447749 1.09 1.09 0.2 0.125 6.3946958 8e+06 24988.30620
## 1279 0.11936442 1.09 1.09 0.2 0.125 6.7469926 8e+06 25533.91769
## 1280 0.12398040 1.09 1.09 0.2 0.125 7.2986105 8e+06 25724.53510
## 1281 0.11993691 1.09 1.09 0.2 0.125 6.5016722 8e+06 25434.51010
## 1282 0.13935121 1.09 1.09 0.2 0.125 5.6300285 8e+06 25124.00048
## 1283 0.14260814 1.09 1.09 0.2 0.125 5.4765407 8e+06 24957.29066
## 1284 0.13652404 1.09 1.09 0.2 0.125 5.5880765 8e+06 25019.32478
## 1285 0.14968022 1.09 1.09 0.2 0.125 7.6876666 8e+06 25672.25362
## 1286 0.17028951 1.09 1.09 0.2 0.125 9.6837137 8e+06 26031.98779
## 1287 0.14558598 1.09 1.09 0.2 0.125 9.3995704 8e+06 26073.72081
## 1288 0.14929435 1.09 1.09 0.2 0.125 9.6938254 8e+06 26097.47495
## 1289 0.13353011 1.09 1.09 0.2 0.125 8.0936507 8e+06 25955.51772
## 1290 0.14194218 1.09 1.09 0.2 0.125 10.3791047 8e+06 25813.12690
## 1291 0.13972002 1.09 1.09 0.2 0.125 8.9992892 8e+06 25287.84378
## 1292 0.14278831 1.09 1.09 0.2 0.125 12.9480737 8e+06 25951.06163
## 1293 0.12691952 1.09 1.09 0.2 0.125 13.0629870 8e+06 25715.23440
## 1294 0.12374632 1.09 1.09 0.2 0.125 12.7828944 8e+06 25523.12880
## 1295 0.13176460 1.09 1.09 0.2 0.125 12.2068857 8e+06 25827.99785
## 1296 0.12801732 1.09 1.09 0.2 0.125 12.3531877 8e+06 25897.79266
## 1297 0.12261960 1.09 1.09 0.2 0.125 11.3708948 8e+06 25649.67405
## 1298 0.12615611 1.09 1.09 0.2 0.125 11.3357324 8e+06 25662.23669
## 1299 0.13866853 1.09 1.09 0.2 0.125 10.5819116 8e+06 25638.77641
## 1300 0.13663764 1.09 1.09 0.2 0.125 10.1950612 8e+06 25812.84405
## 1301 0.13663764 1.09 1.09 0.2 0.125 10.1950612 8e+06 25812.84405
## 1302 0.14778157 1.09 1.09 0.2 0.125 12.1699327 8e+06 25761.27153
## 1303 0.13352662 1.09 1.09 0.2 0.125 14.5374376 8e+06 25691.43338
## 1304 0.14046029 1.09 1.09 0.2 0.125 13.1454651 8e+06 26311.48173
## 1305 0.15016881 1.09 1.09 0.2 0.125 17.0030515 8e+06 27558.61288
## 1306 0.14074082 1.09 1.09 0.2 0.125 8.2585926 8e+06 25928.32800
## 1307 0.14943406 1.09 1.09 0.2 0.125 21.4826293 8e+06 28327.62013
## 1308 0.16092287 1.09 1.09 0.2 0.125 29.1042075 8e+06 28752.36964
## 1309 0.15517085 1.09 1.09 0.2 0.125 35.0096383 8e+06 28720.31120
## 1310 0.17168402 1.09 1.09 0.2 0.125 44.8706016 8e+06 28965.90144
## 1311 0.14048637 1.09 1.09 0.2 0.125 45.1295399 8e+06 29897.30554
## 1312 0.13969175 1.09 1.09 0.2 0.125 61.1411716 8e+06 29828.54006
## 1313 0.14325542 1.09 1.09 0.2 0.125 50.1907678 8e+06 30530.54367
## 1314 0.15315597 1.09 1.09 0.2 0.125 48.4394645 8e+06 30987.08309
## 1315 0.16216869 1.09 1.09 0.2 0.125 56.2691010 8e+06 31679.42011
## 1316 0.14591706 1.09 1.09 0.2 0.125 54.9628867 8e+06 32698.17405
## 1317 0.14486233 1.09 1.09 0.2 0.125 57.4080668 8e+06 32928.44835
## 1318 0.19097975 1.09 1.09 0.2 0.125 76.7374652 8e+06 32536.68938
## 1319 0.18692955 1.09 1.09 0.2 0.125 60.8465723 8e+06 33275.70945
## 1320 0.20959393 1.09 1.09 0.2 0.125 93.9160326 8e+06 33201.75253
## 1321 0.18376378 1.09 1.09 0.2 0.125 77.1351089 8e+06 33529.99035
## 1322 0.17038422 1.09 1.09 0.2 0.125 83.2631155 8e+06 33234.89585
## 1323 0.16577725 1.09 1.09 0.2 0.125 46.0202331 8e+06 35454.16747
## 1324 0.14944090 1.09 1.09 0.2 0.125 57.9358308 8e+06 35054.55112
## 1325 0.15604177 1.09 1.09 0.2 0.125 59.8731866 8e+06 35356.98812
## 1326 0.14433097 1.09 1.09 0.2 0.125 62.7296380 8e+06 35052.97352
## 1327 0.16170039 1.09 1.09 0.2 0.125 57.2913986 8e+06 35112.63347
## 1328 0.15837028 1.09 1.09 0.2 0.125 66.2223342 8e+06 35181.10196
## 1329 0.16168668 1.09 1.09 0.2 0.125 75.6782513 8e+06 35242.89125
## 1330 0.17132766 1.09 1.09 0.2 0.125 66.8668762 8e+06 35470.88995
## 1331 0.17377078 1.09 1.09 0.2 0.125 54.5717178 8e+06 35741.66558
## 1332 0.18154774 1.09 1.09 0.2 0.125 52.1291583 8e+06 35928.90239
## 1333 0.14385300 1.09 1.09 0.2 0.125 36.1481542 8e+06 36949.14840
## 1334 0.16331926 1.09 1.09 0.2 0.125 40.2610688 8e+06 37508.13971
## 1335 0.16070570 1.09 1.09 0.2 0.125 37.8620552 8e+06 37814.00255
## 1336 0.16705811 1.09 1.09 0.2 0.125 40.1730136 8e+06 38409.75338
## 1337 0.16667507 1.09 1.09 0.2 0.125 41.4733795 8e+06 38811.39800
## 1338 0.16239694 1.09 1.09 0.2 0.125 37.0897960 8e+06 39193.36692
## 1339 0.17390210 1.09 1.09 0.2 0.125 37.5684109 8e+06 39188.38770
## 1340 0.17464689 1.09 1.09 0.2 0.125 33.9545978 8e+06 40240.00300
## 1341 0.17721141 1.09 1.09 0.2 0.125 37.4848558 8e+06 40354.33433
## 1342 0.16555765 1.09 1.09 0.2 0.125 34.6699578 8e+06 40758.99439
## 1343 0.16921718 1.09 1.09 0.2 0.125 34.2515877 8e+06 40386.97360
## 1344 0.16743361 1.09 1.09 0.2 0.125 34.0106193 8e+06 40772.64440
## 1345 0.16278209 1.09 1.09 0.2 0.125 41.2037535 8e+06 41219.37595
## 1346 0.16328309 1.09 1.09 0.2 0.125 40.5223317 8e+06 41160.57735
## 1347 0.18527453 1.09 1.09 0.2 0.125 40.7208640 8e+06 40818.40323
## 1348 0.17125197 1.09 1.09 0.2 0.125 33.3546118 8e+06 41252.12527
## 1349 0.18498053 1.09 1.09 0.2 0.125 34.8258996 8e+06 41824.31866
## 1350 0.19155909 1.09 1.09 0.2 0.125 42.1617183 8e+06 42415.99418
## 1351 0.18578272 1.09 1.09 0.2 0.125 39.0302792 8e+06 42199.75406
## 1352 0.18578272 1.09 1.09 0.2 0.125 39.0302792 8e+06 42199.75406
## 1353 0.36861726 1.09 1.09 0.2 0.125 0.7704617 8e+06 8948.65372
## 1354 0.36861726 1.09 1.09 0.2 0.125 0.7704617 8e+06 8948.65372
## 1355 0.39558724 1.09 1.09 0.2 0.125 0.8195844 8e+06 9195.12580
## 1356 0.32254507 1.09 1.09 0.2 0.125 1.2642739 8e+06 9013.29821
## 1357 0.25363334 1.09 1.09 0.2 0.125 1.1489448 8e+06 8744.84914
## 1358 0.19201094 1.09 1.09 0.2 0.125 1.0481047 8e+06 8664.53688
## 1359 0.15303161 1.09 1.09 0.2 0.125 0.9552503 8e+06 8626.32785
## 1360 0.13042777 1.09 1.09 0.2 0.125 1.0568982 8e+06 8664.83034
## 1361 0.11508090 1.09 1.09 0.2 0.125 1.1409173 8e+06 8740.63307
## 1362 0.10723901 1.09 1.09 0.2 0.125 1.2367491 8e+06 8779.77912
## 1363 0.11162511 1.09 1.09 0.2 0.125 1.2887697 8e+06 8773.28540
## 1364 0.10821662 1.09 1.09 0.2 0.125 1.6905739 8e+06 9038.03581
## 1365 0.11056588 1.09 1.09 0.2 0.125 1.7504861 8e+06 9087.36850
## 1366 0.10967885 1.09 1.09 0.2 0.125 2.0721166 8e+06 9147.50810
## 1367 0.10733221 1.09 1.09 0.2 0.125 2.1285644 8e+06 9159.53879
## 1368 0.10858143 1.09 1.09 0.2 0.125 2.1973116 8e+06 9284.57704
## 1369 0.10406234 1.09 1.09 0.2 0.125 2.5828651 8e+06 9535.62349
## 1370 0.10305150 1.09 1.09 0.2 0.125 3.0767844 8e+06 9615.96377
## 1371 0.09907392 1.09 1.09 0.2 0.125 3.5248439 8e+06 9681.47850
## 1372 0.10795784 1.09 1.09 0.2 0.125 3.5690119 8e+06 9851.08547
## 1373 0.10686032 1.09 1.09 0.2 0.125 4.4663678 8e+06 9824.70926
## 1374 0.10785588 1.09 1.09 0.2 0.125 4.5805357 8e+06 9876.04948
## 1375 0.10338695 1.09 1.09 0.2 0.125 4.8915934 8e+06 9826.13116
## 1376 0.10380686 1.09 1.09 0.2 0.125 5.3391693 8e+06 9775.73523
## 1377 0.10154997 1.09 1.09 0.2 0.125 5.2817035 8e+06 9870.62702
## 1378 0.09828158 1.09 1.09 0.2 0.125 4.8288887 8e+06 9912.01150
## 1379 0.10315932 1.09 1.09 0.2 0.125 4.7397395 8e+06 9903.15595
## 1380 0.10056590 1.09 1.09 0.2 0.125 4.6334301 8e+06 9946.58114
## 1381 0.10380648 1.09 1.09 0.2 0.125 4.4390892 8e+06 9959.33893
## 1382 0.10416112 1.09 1.09 0.2 0.125 5.5822779 8e+06 10075.44767
## 1383 0.10411344 1.09 1.09 0.2 0.125 6.6820069 8e+06 10150.38469
## 1384 0.10655373 1.09 1.09 0.2 0.125 7.2855581 8e+06 10231.46849
## 1385 0.10686620 1.09 1.09 0.2 0.125 8.1051132 8e+06 10240.55214
## 1386 0.10886161 1.09 1.09 0.2 0.125 7.7777005 8e+06 10360.73956
## 1387 0.11103061 1.09 1.09 0.2 0.125 7.7872939 8e+06 10444.13404
## 1388 0.11197655 1.09 1.09 0.2 0.125 7.7649547 8e+06 10379.57448
## 1389 0.11025789 1.09 1.09 0.2 0.125 7.3371949 8e+06 10433.70445
## 1390 0.11191049 1.09 1.09 0.2 0.125 6.9385406 8e+06 10532.86090
## 1391 0.11266466 1.09 1.09 0.2 0.125 7.2175539 8e+06 10498.14453
## 1392 0.11155737 1.09 1.09 0.2 0.125 7.4116984 8e+06 10543.30672
## 1393 0.10880561 1.09 1.09 0.2 0.125 7.4307690 8e+06 10511.65623
## 1394 0.10937965 1.09 1.09 0.2 0.125 7.7805334 8e+06 10631.11900
## 1395 0.11258256 1.09 1.09 0.2 0.125 7.9375837 8e+06 10741.33636
## 1396 0.11346018 1.09 1.09 0.2 0.125 7.7145834 8e+06 10705.94081
## 1397 0.11621741 1.09 1.09 0.2 0.125 7.3581978 8e+06 10749.44548
## 1398 0.11688865 1.09 1.09 0.2 0.125 7.3140381 8e+06 10869.04193
## 1399 0.11896506 1.09 1.09 0.2 0.125 7.5827551 8e+06 10902.98687
## 1400 0.11779318 1.09 1.09 0.2 0.125 7.6833262 8e+06 10909.11046
## 1401 0.11874884 1.09 1.09 0.2 0.125 7.4962502 8e+06 10939.33042
## 1402 0.12407660 1.09 1.09 0.2 0.125 7.2891206 8e+06 10955.71107
## 1403 0.12369244 1.09 1.09 0.2 0.125 7.4185669 8e+06 10940.17330
## 1404 0.11838776 1.09 1.09 0.2 0.125 7.1101915 8e+06 11070.51865
## 1405 0.11838776 1.09 1.09 0.2 0.125 7.1101915 8e+06 11070.51865
## 1406 0.12200752 1.09 1.09 0.2 0.125 6.9654056 8e+06 11091.71735
## 1407 0.12486613 1.09 1.09 0.2 0.125 7.1999522 8e+06 11190.94381
## 1408 0.12073807 1.09 1.09 0.2 0.125 7.2286744 8e+06 11242.40835
## 1409 0.12075389 1.09 1.09 0.2 0.125 7.3554940 8e+06 11362.66763
## 1410 0.11795674 1.09 1.09 0.2 0.125 6.9652713 8e+06 11378.55685
## 1411 0.11766813 1.09 1.09 0.2 0.125 5.9874546 8e+06 11417.82496
## 1412 0.10832072 1.09 1.09 0.2 0.125 6.1084855 8e+06 11321.24900
## 1413 0.11312422 1.09 1.09 0.2 0.125 5.7515630 8e+06 11375.93922
## 1414 0.11117493 1.09 1.09 0.2 0.125 7.8636674 8e+06 11382.28943
## 1415 0.10753729 1.09 1.09 0.2 0.125 9.5421050 8e+06 11483.39036
## 1416 0.11350384 1.09 1.09 0.2 0.125 10.5659332 8e+06 11623.21583
## 1417 0.11482977 1.09 1.09 0.2 0.125 16.6642226 8e+06 11494.96068
## 1418 0.11623424 1.09 1.09 0.2 0.125 20.1556320 8e+06 11632.54997
## 1419 0.12219506 1.09 1.09 0.2 0.125 25.8710752 8e+06 11624.81056
## 1420 0.12045193 1.09 1.09 0.2 0.125 28.2101201 8e+06 11655.86805
## 1421 0.11769051 1.09 1.09 0.2 0.125 23.6661500 8e+06 11631.97732
## 1422 0.11620878 1.09 1.09 0.2 0.125 20.5811800 8e+06 11671.22447
## 1423 0.11793961 1.09 1.09 0.2 0.125 20.8196490 8e+06 11590.66271
## 1424 0.12048966 1.09 1.09 0.2 0.125 24.1935560 8e+06 11870.75346
## 1425 0.12134727 1.09 1.09 0.2 0.125 23.6893260 8e+06 11906.20191
## 1426 0.11866922 1.09 1.09 0.2 0.125 27.0184734 8e+06 12023.00631
## 1427 0.12205067 1.09 1.09 0.2 0.125 29.3936952 8e+06 12163.64247
## 1428 0.11917239 1.09 1.09 0.2 0.125 28.4878534 8e+06 12395.04371
## 1429 0.12062775 1.09 1.09 0.2 0.125 30.5218208 8e+06 12503.13489
## 1430 0.12004991 1.09 1.09 0.2 0.125 29.9918228 8e+06 12682.44105
## 1431 0.11838782 1.09 1.09 0.2 0.125 27.5729907 8e+06 12836.07367
## 1432 0.12032046 1.09 1.09 0.2 0.125 28.6602246 8e+06 12885.11395
## 1433 0.11986753 1.09 1.09 0.2 0.125 23.4708930 8e+06 13227.63004
## 1434 0.12188294 1.09 1.09 0.2 0.125 19.7273632 8e+06 13533.21974
## 1435 0.12266063 1.09 1.09 0.2 0.125 17.2240893 8e+06 13829.49035
## 1436 0.12198781 1.09 1.09 0.2 0.125 17.2378831 8e+06 14053.38903
## 1437 0.12351434 1.09 1.09 0.2 0.125 17.2736995 8e+06 14161.22334
## 1438 0.12326810 1.09 1.09 0.2 0.125 17.8450320 8e+06 14211.15147
## 1439 0.12203701 1.09 1.09 0.2 0.125 15.3154834 8e+06 14512.95632
## 1440 0.12415556 1.09 1.09 0.2 0.125 15.2412033 8e+06 14512.79349
## 1441 0.12159698 1.09 1.09 0.2 0.125 13.7946241 8e+06 14593.94862
## 1442 0.12662475 1.09 1.09 0.2 0.125 14.6962308 8e+06 14677.13394
## 1443 0.12742715 1.09 1.09 0.2 0.125 15.7157258 8e+06 14661.80445
## 1444 0.12286673 1.09 1.09 0.2 0.125 14.6475279 8e+06 14830.13607
## 1445 0.12280955 1.09 1.09 0.2 0.125 14.2751763 8e+06 15061.15645
## 1446 0.12691449 1.09 1.09 0.2 0.125 12.5368752 8e+06 15248.03470
## 1447 0.12668646 1.09 1.09 0.2 0.125 12.3753517 8e+06 15314.35655
## 1448 0.12651369 1.09 1.09 0.2 0.125 12.5196682 8e+06 15463.62181
## 1449 0.12888570 1.09 1.09 0.2 0.125 11.5189094 8e+06 15566.87078
## 1450 0.12636537 1.09 1.09 0.2 0.125 12.2624398 8e+06 15634.59112
## 1451 0.12503975 1.09 1.09 0.2 0.125 11.7065884 8e+06 15747.97530
## 1452 0.12802580 1.09 1.09 0.2 0.125 11.8594635 8e+06 15749.61967
## 1453 0.12659073 1.09 1.09 0.2 0.125 10.8184029 8e+06 15813.19349
## 1454 0.12816028 1.09 1.09 0.2 0.125 10.2008060 8e+06 15878.55132
## 1455 0.12754104 1.09 1.09 0.2 0.125 10.6055564 8e+06 15921.18260
## 1456 0.12754104 1.09 1.09 0.2 0.125 10.6055564 8e+06 15921.18260
## 1457 0.13154649 1.09 1.09 0.2 0.125 0.3998308 8e+06 2222.68383
## 1458 0.13154649 1.09 1.09 0.2 0.125 0.3998308 8e+06 2222.68383
## 1459 0.09516810 1.09 1.09 0.2 0.125 0.3987618 8e+06 2232.16966
## 1460 0.09611444 1.09 1.09 0.2 0.125 0.4910280 8e+06 2263.38287
## 1461 0.09193307 1.09 1.09 0.2 0.125 0.3788093 8e+06 2420.77496
## 1462 0.11406419 1.09 1.09 0.2 0.125 0.3366859 8e+06 2397.19283
## 1463 0.10835389 1.09 1.09 0.2 0.125 0.4514675 8e+06 2360.21418
## 1464 0.12578038 1.09 1.09 0.2 0.125 0.4354449 8e+06 2423.50191
## 1465 0.13456761 1.09 1.09 0.2 0.125 0.4012246 8e+06 2396.84780
## 1466 0.11258648 1.09 1.09 0.2 0.125 0.4202102 8e+06 2419.23626
## 1467 0.11093989 1.09 1.09 0.2 0.125 0.3341255 8e+06 2434.71588
## 1468 0.13519921 1.09 1.09 0.2 0.125 0.3109607 8e+06 2483.93485
## 1469 0.14595641 1.09 1.09 0.2 0.125 0.3886734 8e+06 2476.24086
## 1470 0.13261760 1.09 1.09 0.2 0.125 0.4543603 8e+06 2474.15811
## 1471 0.11262476 1.09 1.09 0.2 0.125 0.4475128 8e+06 2518.81095
## 1472 0.10935836 1.09 1.09 0.2 0.125 0.4068436 8e+06 2473.74101
## 1473 0.12903507 1.09 1.09 0.2 0.125 0.3970825 8e+06 2510.71596
## 1474 0.14699225 1.09 1.09 0.2 0.125 0.3402344 8e+06 2512.86944
## 1475 0.11647469 1.09 1.09 0.2 0.125 0.3437976 8e+06 2507.81332
## 1476 0.10388675 1.09 1.09 0.2 0.125 0.3621288 8e+06 2622.99044
## 1477 0.09990177 1.09 1.09 0.2 0.125 0.4397834 8e+06 2649.00636
## 1478 0.09533020 1.09 1.09 0.2 0.125 0.4450140 8e+06 2630.51334
## 1479 0.12613761 1.09 1.09 0.2 0.125 0.4529728 8e+06 2657.74668
## 1480 0.11401909 1.09 1.09 0.2 0.125 0.4986956 8e+06 2595.51966
## 1481 0.11474337 1.09 1.09 0.2 0.125 0.4512943 8e+06 2580.76874
## 1482 0.12636523 1.09 1.09 0.2 0.125 0.5099724 8e+06 2586.32040
## 1483 0.10818368 1.09 1.09 0.2 0.125 0.4339583 8e+06 2645.88401
## 1484 0.11722504 1.09 1.09 0.2 0.125 0.4170865 8e+06 2688.44984
## 1485 0.12652105 1.09 1.09 0.2 0.125 0.3821205 8e+06 2682.26555
## 1486 0.14882567 1.09 1.09 0.2 0.125 0.3829637 8e+06 2678.91180
## 1487 0.18210215 1.09 1.09 0.2 0.125 0.3579187 8e+06 2669.66108
## 1488 0.15832663 1.09 1.09 0.2 0.125 0.4039076 8e+06 2624.63092
## 1489 0.17902461 1.09 1.09 0.2 0.125 0.4497327 8e+06 2655.96906
## 1490 0.17905274 1.09 1.09 0.2 0.125 0.4394218 8e+06 2688.81869
## 1491 0.21233666 1.09 1.09 0.2 0.125 0.5010589 8e+06 2629.07032
## 1492 0.18127847 1.09 1.09 0.2 0.125 0.4579697 8e+06 2597.90319
## 1493 0.12703694 1.09 1.09 0.2 0.125 0.5271333 8e+06 2532.60670
## 1494 0.11308950 1.09 1.09 0.2 0.125 0.5051307 8e+06 2503.64063
## 1495 0.12216375 1.09 1.09 0.2 0.125 0.4384745 8e+06 2450.12976
## 1496 0.12720715 1.09 1.09 0.2 0.125 0.4613061 8e+06 2420.29457
## 1497 0.12197337 1.09 1.09 0.2 0.125 0.5369942 8e+06 2412.79820
## 1498 0.13891638 1.09 1.09 0.2 0.125 0.5261976 8e+06 2435.84240
## 1499 0.15706600 1.09 1.09 0.2 0.125 0.5319979 8e+06 2434.78649
## 1500 0.18080653 1.09 1.09 0.2 0.125 0.6696275 8e+06 2435.64974
## 1501 0.20335756 1.09 1.09 0.2 0.125 0.6316553 8e+06 2436.32393
## 1502 0.22410287 1.09 1.09 0.2 0.125 0.5619232 8e+06 2427.61220
## 1503 0.21266097 1.09 1.09 0.2 0.125 0.5650609 8e+06 2392.82240
## 1504 0.23524844 1.09 1.09 0.2 0.125 0.5484942 8e+06 2389.19572
## 1505 0.22836229 1.09 1.09 0.2 0.125 0.6016630 8e+06 2365.20892
## 1506 0.22246281 1.09 1.09 0.2 0.125 0.6174518 8e+06 2364.83387
## 1507 0.19641641 1.09 1.09 0.2 0.125 0.5733128 8e+06 2387.37223
## 1508 0.21117594 1.09 1.09 0.2 0.125 0.5218403 8e+06 2377.94921
## 1509 0.21117594 1.09 1.09 0.2 0.125 0.5218403 8e+06 2377.94921
## 1510 0.23648095 1.09 1.09 0.2 0.125 0.5341094 8e+06 2413.58913
## 1511 0.23757736 1.09 1.09 0.2 0.125 0.5807275 8e+06 2370.98429
## 1512 0.25331692 1.09 1.09 0.2 0.125 0.6683414 8e+06 2340.66293
## 1513 0.24442702 1.09 1.09 0.2 0.125 0.5977783 8e+06 2278.64831
## 1514 0.26941531 1.09 1.09 0.2 0.125 0.4813767 8e+06 2293.54097
## 1515 0.35896934 1.09 1.09 0.2 0.125 0.5863376 8e+06 2302.48700
## 1516 0.26788445 1.09 1.09 0.2 0.125 0.5358181 8e+06 2287.99264
## 1517 0.23083332 1.09 1.09 0.2 0.125 0.4812495 8e+06 2366.90532
## 1518 0.21164947 1.09 1.09 0.2 0.125 0.6105662 8e+06 2285.66378
## 1519 0.23502740 1.09 1.09 0.2 0.125 0.4490020 8e+06 2269.81345
## 1520 0.20265283 1.09 1.09 0.2 0.125 0.4182645 8e+06 2269.43962
## 1521 0.19560224 1.09 1.09 0.2 0.125 0.3330992 8e+06 2202.21551
## 1522 0.21825710 1.09 1.09 0.2 0.125 0.3084549 8e+06 2255.97558
## 1523 0.20956320 1.09 1.09 0.2 0.125 0.2329065 8e+06 2264.14022
## 1524 0.24238661 1.09 1.09 0.2 0.125 0.2262791 8e+06 2263.00025
## 1525 0.28291842 1.09 1.09 0.2 0.125 0.1998723 8e+06 2262.53750
## 1526 0.30251104 1.09 1.09 0.2 0.125 0.1370593 8e+06 2382.30704
## 1527 0.28588524 1.09 1.09 0.2 0.125 0.1507575 8e+06 2354.03367
## 1528 0.29212429 1.09 1.09 0.2 0.125 0.1778562 8e+06 2355.29030
## 1529 0.33227140 1.09 1.09 0.2 0.125 0.1515693 8e+06 2391.20946
## 1530 0.32815533 1.09 1.09 0.2 0.125 0.2016844 8e+06 2377.13923
## 1531 0.34786823 1.09 1.09 0.2 0.125 0.2137452 8e+06 2429.73296
## 1532 0.32827434 1.09 1.09 0.2 0.125 0.2023863 8e+06 2417.67820
## 1533 0.28256779 1.09 1.09 0.2 0.125 0.1956612 8e+06 2371.47584
## 1534 0.31301839 1.09 1.09 0.2 0.125 0.2358926 8e+06 2380.77239
## 1535 0.34434729 1.09 1.09 0.2 0.125 0.2893864 8e+06 2335.30366
## 1536 0.35969226 1.09 1.09 0.2 0.125 0.1885227 8e+06 2328.60624
## 1537 0.37315263 1.09 1.09 0.2 0.125 0.1530574 8e+06 2336.26726
## 1538 0.40023317 1.09 1.09 0.2 0.125 0.1950968 8e+06 2344.74082
## 1539 0.34880641 1.09 1.09 0.2 0.125 0.1207715 8e+06 2312.42853
## 1540 0.33069902 1.09 1.09 0.2 0.125 0.1774811 8e+06 2331.57449
## 1541 0.34950550 1.09 1.09 0.2 0.125 0.1272714 8e+06 2396.02806
## 1542 0.35155089 1.09 1.09 0.2 0.125 0.1493052 8e+06 2414.66835
## 1543 0.35072087 1.09 1.09 0.2 0.125 0.1428968 8e+06 2431.37526
## 1544 0.33131332 1.09 1.09 0.2 0.125 0.1640068 8e+06 2420.71938
## 1545 0.33057202 1.09 1.09 0.2 0.125 0.1845376 8e+06 2456.37038
## 1546 0.33947662 1.09 1.09 0.2 0.125 0.1920978 8e+06 2472.43396
## 1547 0.36580285 1.09 1.09 0.2 0.125 0.1589349 8e+06 2465.02774
## 1548 0.34608482 1.09 1.09 0.2 0.125 0.2008316 8e+06 2455.19140
## 1549 0.33042580 1.09 1.09 0.2 0.125 0.1678298 8e+06 2428.36236
## 1550 0.33542009 1.09 1.09 0.2 0.125 0.1623505 8e+06 2434.62266
## 1551 0.31892119 1.09 1.09 0.2 0.125 0.1853718 8e+06 2405.02036
## 1552 0.33489054 1.09 1.09 0.2 0.125 0.1571687 8e+06 2386.16012
## 1553 0.35058029 1.09 1.09 0.2 0.125 0.1609269 8e+06 2411.24408
## 1554 0.33061870 1.09 1.09 0.2 0.125 0.1642593 8e+06 2384.89538
## 1555 0.30252084 1.09 1.09 0.2 0.125 0.1772196 8e+06 2416.30968
## 1556 0.29340404 1.09 1.09 0.2 0.125 0.1934418 8e+06 2442.72723
## 1557 0.24080824 1.09 1.09 0.2 0.125 0.2056606 8e+06 2374.46238
## 1558 0.28723403 1.09 1.09 0.2 0.125 0.1833701 8e+06 2354.56365
## 1559 0.29314622 1.09 1.09 0.2 0.125 0.1674754 8e+06 2382.19072
## 1560 0.29314622 1.09 1.09 0.2 0.125 0.1674754 8e+06 2382.19072
## 1561 0.31074747 1.09 1.09 0.2 0.125 0.5150230 8e+06 5844.15422
## 1562 0.31074747 1.09 1.09 0.2 0.125 0.5150230 8e+06 5844.15422
## 1563 0.24053023 1.09 1.09 0.2 0.125 0.3617557 8e+06 5628.80459
## 1564 0.22647799 1.09 1.09 0.2 0.125 0.3472440 8e+06 5605.80961
## 1565 0.19436506 1.09 1.09 0.2 0.125 0.3977459 8e+06 5585.59464
## 1566 0.12501779 1.09 1.09 0.2 0.125 0.3304760 8e+06 5657.35510
## 1567 0.11592234 1.09 1.09 0.2 0.125 0.4219954 8e+06 5704.97319
## 1568 0.10619602 1.09 1.09 0.2 0.125 0.5325544 8e+06 5703.06512
## 1569 0.10438363 1.09 1.09 0.2 0.125 0.7225583 8e+06 5752.56438
## 1570 0.09607032 1.09 1.09 0.2 0.125 0.9058888 8e+06 5790.97889
## 1571 0.10388902 1.09 1.09 0.2 0.125 0.9268574 8e+06 5871.78260
## 1572 0.09742558 1.09 1.09 0.2 0.125 1.1711858 8e+06 5907.12050
## 1573 0.09648159 1.09 1.09 0.2 0.125 1.2930278 8e+06 5952.79143
## 1574 0.09539384 1.09 1.09 0.2 0.125 1.2757569 8e+06 5989.34843
## 1575 0.10574082 1.09 1.09 0.2 0.125 1.1979068 8e+06 6042.48524
## 1576 0.09870634 1.09 1.09 0.2 0.125 1.1826200 8e+06 6073.40478
## 1577 0.10463359 1.09 1.09 0.2 0.125 1.3214945 8e+06 6055.85284
## 1578 0.09901944 1.09 1.09 0.2 0.125 1.5096427 8e+06 6137.18718
## 1579 0.11046553 1.09 1.09 0.2 0.125 1.4754479 8e+06 6307.09126
## 1580 0.10633077 1.09 1.09 0.2 0.125 1.7742928 8e+06 6451.56452
## 1581 0.10522620 1.09 1.09 0.2 0.125 1.8580983 8e+06 6437.10384
## 1582 0.10884981 1.09 1.09 0.2 0.125 1.7613601 8e+06 6563.54759
## 1583 0.10783924 1.09 1.09 0.2 0.125 1.7083486 8e+06 6482.91555
## 1584 0.10803256 1.09 1.09 0.2 0.125 1.5828330 8e+06 6480.54773
## 1585 0.10944457 1.09 1.09 0.2 0.125 1.4717013 8e+06 6444.28836
## 1586 0.11416539 1.09 1.09 0.2 0.125 1.5010524 8e+06 6492.98518
## 1587 0.11269151 1.09 1.09 0.2 0.125 1.6175696 8e+06 6545.05044
## 1588 0.11032269 1.09 1.09 0.2 0.125 1.6444463 8e+06 6533.55899
## 1589 0.10856617 1.09 1.09 0.2 0.125 1.7004105 8e+06 6580.06391
## 1590 0.10285784 1.09 1.09 0.2 0.125 1.7135627 8e+06 6584.04046
## 1591 0.10449357 1.09 1.09 0.2 0.125 1.8144502 8e+06 6537.88676
## 1592 0.10572951 1.09 1.09 0.2 0.125 1.8359375 8e+06 6402.71649
## 1593 0.11177157 1.09 1.09 0.2 0.125 2.0190530 8e+06 6412.85020
## 1594 0.10796337 1.09 1.09 0.2 0.125 1.7976622 8e+06 6375.90400
## 1595 0.10911129 1.09 1.09 0.2 0.125 1.9237968 8e+06 6356.36176
## 1596 0.11322700 1.09 1.09 0.2 0.125 1.9219359 8e+06 6272.42370
## 1597 0.11412458 1.09 1.09 0.2 0.125 1.9911029 8e+06 6240.62518
## 1598 0.11456751 1.09 1.09 0.2 0.125 2.1573879 8e+06 6218.73080
## 1599 0.11971585 1.09 1.09 0.2 0.125 2.1501139 8e+06 6174.12207
## 1600 0.11986324 1.09 1.09 0.2 0.125 2.1922554 8e+06 6083.06985
## 1601 0.11992716 1.09 1.09 0.2 0.125 2.0601922 8e+06 6107.91479
## 1602 0.11698607 1.09 1.09 0.2 0.125 2.0839632 8e+06 6092.83885
## 1603 0.11767894 1.09 1.09 0.2 0.125 2.1835544 8e+06 6132.58015
## 1604 0.11735166 1.09 1.09 0.2 0.125 2.2727735 8e+06 6144.25885
## 1605 0.12038633 1.09 1.09 0.2 0.125 2.4354798 8e+06 6206.35771
## 1606 0.11688053 1.09 1.09 0.2 0.125 3.0254881 8e+06 6225.22290
## 1607 0.11733234 1.09 1.09 0.2 0.125 2.9789066 8e+06 6197.38400
## 1608 0.11834230 1.09 1.09 0.2 0.125 3.0447574 8e+06 6240.13417
## 1609 0.11766855 1.09 1.09 0.2 0.125 3.1006626 8e+06 6257.85605
## 1610 0.11578507 1.09 1.09 0.2 0.125 3.1528604 8e+06 6232.81491
## 1611 0.11474344 1.09 1.09 0.2 0.125 3.2858847 8e+06 6252.68809
## 1612 0.11451427 1.09 1.09 0.2 0.125 3.1972810 8e+06 6366.76400
## 1613 0.11451427 1.09 1.09 0.2 0.125 3.1972810 8e+06 6366.76400
## 1614 0.11825293 1.09 1.09 0.2 0.125 3.2294567 8e+06 6359.38659
## 1615 0.11589222 1.09 1.09 0.2 0.125 3.2563441 8e+06 6381.15964
## 1616 0.11565378 1.09 1.09 0.2 0.125 3.2738754 8e+06 6451.86504
## 1617 0.11693607 1.09 1.09 0.2 0.125 3.4734903 8e+06 6424.13231
## 1618 0.11755380 1.09 1.09 0.2 0.125 3.3007975 8e+06 6461.65915
## 1619 0.11416382 1.09 1.09 0.2 0.125 3.1021775 8e+06 6437.65172
## 1620 0.11611811 1.09 1.09 0.2 0.125 2.9979171 8e+06 6483.30283
## 1621 0.11775301 1.09 1.09 0.2 0.125 3.0066600 8e+06 6486.18748
## 1622 0.11487783 1.09 1.09 0.2 0.125 2.9596325 8e+06 6579.62019
## 1623 0.11478249 1.09 1.09 0.2 0.125 2.9467675 8e+06 6693.13303
## 1624 0.11252261 1.09 1.09 0.2 0.125 2.9665314 8e+06 6829.50216
## 1625 0.11657191 1.09 1.09 0.2 0.125 2.9462031 8e+06 7065.75320
## 1626 0.12751294 1.09 1.09 0.2 0.125 3.1361705 8e+06 7208.39329
## 1627 0.12266556 1.09 1.09 0.2 0.125 2.9762787 8e+06 7309.13415
## 1628 0.12229095 1.09 1.09 0.2 0.125 3.0332087 8e+06 7376.61071
## 1629 0.12781552 1.09 1.09 0.2 0.125 3.2212068 8e+06 7396.42432
## 1630 0.12694194 1.09 1.09 0.2 0.125 3.4924596 8e+06 7390.70335
## 1631 0.12061031 1.09 1.09 0.2 0.125 3.4637882 8e+06 7402.58081
## 1632 0.12183085 1.09 1.09 0.2 0.125 3.2111482 8e+06 7431.46300
## 1633 0.12298706 1.09 1.09 0.2 0.125 3.1923096 8e+06 7692.78276
## 1634 0.12238922 1.09 1.09 0.2 0.125 3.2538396 8e+06 7860.83432
## 1635 0.12272766 1.09 1.09 0.2 0.125 2.8594254 8e+06 8057.19272
## 1636 0.12665723 1.09 1.09 0.2 0.125 2.7816019 8e+06 8062.84091
## 1637 0.13214123 1.09 1.09 0.2 0.125 2.3117450 8e+06 8231.98770
## 1638 0.12885028 1.09 1.09 0.2 0.125 2.8451347 8e+06 8224.30540
## 1639 0.12687528 1.09 1.09 0.2 0.125 3.2810300 8e+06 8311.40385
## 1640 0.12407922 1.09 1.09 0.2 0.125 3.2478971 8e+06 8261.42692
## 1641 0.12568423 1.09 1.09 0.2 0.125 3.7044866 8e+06 8370.51434
## 1642 0.12337918 1.09 1.09 0.2 0.125 3.8953644 8e+06 8433.20013
## 1643 0.12597372 1.09 1.09 0.2 0.125 3.8904635 8e+06 8482.68038
## 1644 0.12529227 1.09 1.09 0.2 0.125 4.5285834 8e+06 8528.59153
## 1645 0.12579163 1.09 1.09 0.2 0.125 4.3657320 8e+06 8509.20013
## 1646 0.12404756 1.09 1.09 0.2 0.125 4.2672152 8e+06 8554.26672
## 1647 0.12736073 1.09 1.09 0.2 0.125 4.6946614 8e+06 8589.76110
## 1648 0.12975040 1.09 1.09 0.2 0.125 4.6134510 8e+06 8674.29534
## 1649 0.12849399 1.09 1.09 0.2 0.125 4.2742670 8e+06 8746.98385
## 1650 0.13049678 1.09 1.09 0.2 0.125 3.7081811 8e+06 8865.15025
## 1651 0.12857449 1.09 1.09 0.2 0.125 3.8230271 8e+06 8926.11492
## 1652 0.13073833 1.09 1.09 0.2 0.125 3.9531447 8e+06 8942.23559
## 1653 0.12916524 1.09 1.09 0.2 0.125 4.2576561 8e+06 8983.56455
## 1654 0.13147641 1.09 1.09 0.2 0.125 4.1931668 8e+06 9021.56006
## 1655 0.12809853 1.09 1.09 0.2 0.125 4.6065850 8e+06 9073.71595
## 1656 0.12852274 1.09 1.09 0.2 0.125 4.7165770 8e+06 9147.81535
## 1657 0.12839259 1.09 1.09 0.2 0.125 4.8467711 8e+06 9172.09821
## 1658 0.12825503 1.09 1.09 0.2 0.125 4.8200265 8e+06 9170.46546
## 1659 0.13304043 1.09 1.09 0.2 0.125 5.2475992 8e+06 9159.07036
## 1660 0.13252579 1.09 1.09 0.2 0.125 5.0978623 8e+06 9220.59290
## 1661 0.12878461 1.09 1.09 0.2 0.125 4.7888600 8e+06 9255.79883
## 1662 0.12886596 1.09 1.09 0.2 0.125 4.9947790 8e+06 9310.03537
## 1663 0.13232452 1.09 1.09 0.2 0.125 5.0020678 8e+06 9310.41085
## 1664 0.13232452 1.09 1.09 0.2 0.125 5.0020678 8e+06 9310.41085
## 1665 0.37200302 1.09 1.09 0.2 0.125 0.7398341 8e+06 6799.40894
## 1666 0.37200302 1.09 1.09 0.2 0.125 0.7398341 8e+06 6799.40894
## 1667 0.35161639 1.09 1.09 0.2 0.125 0.6627657 8e+06 6759.28271
## 1668 0.33577919 1.09 1.09 0.2 0.125 0.6246944 8e+06 6699.60405
## 1669 0.25860797 1.09 1.09 0.2 0.125 0.4840352 8e+06 6621.17590
## 1670 0.22103758 1.09 1.09 0.2 0.125 0.5706627 8e+06 6547.89865
## 1671 0.22019208 1.09 1.09 0.2 0.125 0.6811258 8e+06 6411.05922
## 1672 0.17561376 1.09 1.09 0.2 0.125 0.6164375 8e+06 6669.88396
## 1673 0.16263614 1.09 1.09 0.2 0.125 0.4253084 8e+06 6997.58591
## 1674 0.13473399 1.09 1.09 0.2 0.125 0.5030817 8e+06 7111.77899
## 1675 0.13698246 1.09 1.09 0.2 0.125 0.5674383 8e+06 7174.06896
## 1676 0.11367995 1.09 1.09 0.2 0.125 0.7716742 8e+06 7070.38915
## 1677 0.10973423 1.09 1.09 0.2 0.125 1.1196550 8e+06 7147.72633
## 1678 0.08491828 1.09 1.09 0.2 0.125 1.1603033 8e+06 7219.10262
## 1679 0.06844239 1.09 1.09 0.2 0.125 1.3263655 8e+06 7198.01325
## 1680 0.05902926 1.09 1.09 0.2 0.125 1.2923160 8e+06 7106.87552
## 1681 0.04366926 1.09 1.09 0.2 0.125 1.6580768 8e+06 7187.62900
## 1682 0.04157109 1.09 1.09 0.2 0.125 1.6173693 8e+06 7323.20225
## 1683 0.04399669 1.09 1.09 0.2 0.125 1.6774633 8e+06 7452.76576
## 1684 0.04665390 1.09 1.09 0.2 0.125 1.5240693 8e+06 7538.07884
## 1685 0.04728631 1.09 1.09 0.2 0.125 1.6677372 8e+06 7530.05288
## 1686 0.04588007 1.09 1.09 0.2 0.125 1.9319862 8e+06 7434.12074
## 1687 0.04648215 1.09 1.09 0.2 0.125 1.8307291 8e+06 7508.74627
## 1688 0.04530812 1.09 1.09 0.2 0.125 1.6665497 8e+06 7625.78081
## 1689 0.04578519 1.09 1.09 0.2 0.125 1.7870753 8e+06 7728.81325
## 1690 0.04721431 1.09 1.09 0.2 0.125 1.3847757 8e+06 7710.89207
## 1691 0.04639546 1.09 1.09 0.2 0.125 1.2202693 8e+06 7782.17960
## 1692 0.04704596 1.09 1.09 0.2 0.125 1.2012885 8e+06 7721.35202
## 1693 0.04819497 1.09 1.09 0.2 0.125 1.1863492 8e+06 7786.71740
## 1694 0.04584148 1.09 1.09 0.2 0.125 1.5935006 8e+06 7832.16190
## 1695 0.04822819 1.09 1.09 0.2 0.125 1.6661146 8e+06 7848.54112
## 1696 0.04550577 1.09 1.09 0.2 0.125 1.6429441 8e+06 8021.55348
## 1697 0.04590971 1.09 1.09 0.2 0.125 1.7681654 8e+06 7971.72610
## 1698 0.04866679 1.09 1.09 0.2 0.125 1.9985991 8e+06 7929.78702
## 1699 0.04662846 1.09 1.09 0.2 0.125 2.0645798 8e+06 8000.69186
## 1700 0.04300584 1.09 1.09 0.2 0.125 1.9708450 8e+06 8134.70206
## 1701 0.04731579 1.09 1.09 0.2 0.125 1.5963869 8e+06 8149.43483
## 1702 0.04865324 1.09 1.09 0.2 0.125 1.6791824 8e+06 8119.95997
## 1703 0.05248082 1.09 1.09 0.2 0.125 1.5055482 8e+06 8124.49667
## 1704 0.04874171 1.09 1.09 0.2 0.125 1.3762687 8e+06 8194.91460
## 1705 0.05314943 1.09 1.09 0.2 0.125 1.4656965 8e+06 8274.84798
## 1706 0.05392207 1.09 1.09 0.2 0.125 1.6071431 8e+06 8261.84594
## 1707 0.05497779 1.09 1.09 0.2 0.125 1.5961037 8e+06 8266.23886
## 1708 0.05172195 1.09 1.09 0.2 0.125 1.6387129 8e+06 8364.50103
## 1709 0.05149416 1.09 1.09 0.2 0.125 1.5669591 8e+06 8511.77391
## 1710 0.04698527 1.09 1.09 0.2 0.125 1.8601554 8e+06 8819.47486
## 1711 0.04454806 1.09 1.09 0.2 0.125 1.9678443 8e+06 8894.26467
## 1712 0.04222095 1.09 1.09 0.2 0.125 2.0118592 8e+06 8912.00003
## 1713 0.04210184 1.09 1.09 0.2 0.125 2.2250696 8e+06 8961.00471
## 1714 0.04059191 1.09 1.09 0.2 0.125 2.5001473 8e+06 9067.69233
## 1715 0.04067688 1.09 1.09 0.2 0.125 2.6940843 8e+06 9076.92488
## 1716 0.04825432 1.09 1.09 0.2 0.125 2.4836780 8e+06 8980.34796
## 1717 0.04825432 1.09 1.09 0.2 0.125 2.4836780 8e+06 8980.34796
## 1718 0.04978271 1.09 1.09 0.2 0.125 2.4390364 8e+06 8941.94643
## 1719 0.04927484 1.09 1.09 0.2 0.125 2.8302746 8e+06 8993.07317
## 1720 0.04480400 1.09 1.09 0.2 0.125 2.5399510 8e+06 8940.59823
## 1721 0.04264518 1.09 1.09 0.2 0.125 2.9528665 8e+06 8974.27949
## 1722 0.04462326 1.09 1.09 0.2 0.125 2.5291887 8e+06 9017.74196
## 1723 0.04891666 1.09 1.09 0.2 0.125 3.2161418 8e+06 9144.80083
## 1724 0.04692772 1.09 1.09 0.2 0.125 3.5716298 8e+06 9251.38854
## 1725 0.05205867 1.09 1.09 0.2 0.125 3.4634070 8e+06 8985.40927
## 1726 0.04500005 1.09 1.09 0.2 0.125 3.6872887 8e+06 9235.31751
## 1727 0.04323743 1.09 1.09 0.2 0.125 4.3386287 8e+06 9307.80009
## 1728 0.04620357 1.09 1.09 0.2 0.125 4.5428334 8e+06 9365.09335
## 1729 0.05147621 1.09 1.09 0.2 0.125 5.7761039 8e+06 9602.01129
## 1730 0.05358517 1.09 1.09 0.2 0.125 6.2266884 8e+06 9704.80066
## 1731 0.05200186 1.09 1.09 0.2 0.125 6.9125071 8e+06 9764.50165
## 1732 0.04745134 1.09 1.09 0.2 0.125 5.9456804 8e+06 9591.05213
## 1733 0.04538278 1.09 1.09 0.2 0.125 5.5486625 8e+06 9757.38374
## 1734 0.04421892 1.09 1.09 0.2 0.125 5.4031598 8e+06 9959.09940
## 1735 0.04816553 1.09 1.09 0.2 0.125 5.5010157 8e+06 10020.67585
## 1736 0.04699298 1.09 1.09 0.2 0.125 5.6863346 8e+06 10056.91255
## 1737 0.05000377 1.09 1.09 0.2 0.125 5.4359653 8e+06 10191.90793
## 1738 0.06155388 1.09 1.09 0.2 0.125 4.2410863 8e+06 10248.21421
## 1739 0.06265524 1.09 1.09 0.2 0.125 4.3662194 8e+06 10454.60474
## 1740 0.05524640 1.09 1.09 0.2 0.125 5.0870552 8e+06 10447.80580
## 1741 0.05452251 1.09 1.09 0.2 0.125 4.3987278 8e+06 10383.19750
## 1742 0.05192003 1.09 1.09 0.2 0.125 5.1683442 8e+06 10495.91771
## 1743 0.05050600 1.09 1.09 0.2 0.125 4.2836851 8e+06 10375.25841
## 1744 0.04341861 1.09 1.09 0.2 0.125 4.8560780 8e+06 10327.70554
## 1745 0.04208322 1.09 1.09 0.2 0.125 4.9684731 8e+06 10255.08546
## 1746 0.04508250 1.09 1.09 0.2 0.125 4.9329697 8e+06 10298.09843
## 1747 0.04624224 1.09 1.09 0.2 0.125 4.5245083 8e+06 10351.11207
## 1748 0.04762584 1.09 1.09 0.2 0.125 4.5672278 8e+06 10419.12296
## 1749 0.04920574 1.09 1.09 0.2 0.125 4.7419732 8e+06 10469.84096
## 1750 0.05174306 1.09 1.09 0.2 0.125 5.1661000 8e+06 10434.23311
## 1751 0.05213461 1.09 1.09 0.2 0.125 5.3324652 8e+06 10616.38547
## 1752 0.05444376 1.09 1.09 0.2 0.125 5.1804273 8e+06 10665.11388
## 1753 0.05678574 1.09 1.09 0.2 0.125 4.8908610 8e+06 10700.60675
## 1754 0.05536342 1.09 1.09 0.2 0.125 4.6133125 8e+06 10815.63189
## 1755 0.05902982 1.09 1.09 0.2 0.125 4.6990510 8e+06 10762.33796
## 1756 0.05829875 1.09 1.09 0.2 0.125 4.6898891 8e+06 10672.08897
## 1757 0.06390273 1.09 1.09 0.2 0.125 4.6072129 8e+06 10707.12408
## 1758 0.06404249 1.09 1.09 0.2 0.125 4.5051807 8e+06 10715.10939
## 1759 0.06278674 1.09 1.09 0.2 0.125 4.6885834 8e+06 10746.73437
## 1760 0.06593600 1.09 1.09 0.2 0.125 4.9303452 8e+06 10668.02367
## 1761 0.07255935 1.09 1.09 0.2 0.125 4.4862498 8e+06 10543.86832
## 1762 0.06891529 1.09 1.09 0.2 0.125 5.2165221 8e+06 10455.96531
## 1763 0.06532769 1.09 1.09 0.2 0.125 5.1301745 8e+06 10688.03608
## 1764 0.06416188 1.09 1.09 0.2 0.125 4.4684210 8e+06 10896.37309
## 1765 0.05892843 1.09 1.09 0.2 0.125 4.0263740 8e+06 10959.66356
## 1766 0.05997944 1.09 1.09 0.2 0.125 3.9426118 8e+06 11058.65938
## 1767 0.06600335 1.09 1.09 0.2 0.125 3.7869070 8e+06 11127.60165
## 1768 0.06600335 1.09 1.09 0.2 0.125 3.7869070 8e+06 11127.60165
## 1769 0.36262941 1.09 1.09 0.2 0.125 0.9335965 8e+06 16096.03227
## 1770 0.36262941 1.09 1.09 0.2 0.125 0.9335965 8e+06 16096.03227
## 1771 0.40804737 1.09 1.09 0.2 0.125 0.7801837 8e+06 16117.53695
## 1772 0.37291022 1.09 1.09 0.2 0.125 0.5592609 8e+06 16048.83651
## 1773 0.28933316 1.09 1.09 0.2 0.125 0.9224515 8e+06 16091.92170
## 1774 0.27635290 1.09 1.09 0.2 0.125 0.8628009 8e+06 16219.15956
## 1775 0.25072557 1.09 1.09 0.2 0.125 0.7631543 8e+06 16631.02797
## 1776 0.18510892 1.09 1.09 0.2 0.125 0.8484772 8e+06 16520.78713
## 1777 0.14956015 1.09 1.09 0.2 0.125 0.8396637 8e+06 16608.06299
## 1778 0.13007356 1.09 1.09 0.2 0.125 0.9773731 8e+06 16814.76005
## 1779 0.12399100 1.09 1.09 0.2 0.125 1.0411527 8e+06 16723.21247
## 1780 0.11911319 1.09 1.09 0.2 0.125 1.0686662 8e+06 16974.25820
## 1781 0.11571365 1.09 1.09 0.2 0.125 1.1253110 8e+06 17115.95462
## 1782 0.11032106 1.09 1.09 0.2 0.125 1.1422324 8e+06 17261.16926
## 1783 0.10719308 1.09 1.09 0.2 0.125 1.1592674 8e+06 16993.00045
## 1784 0.10967716 1.09 1.09 0.2 0.125 1.1999943 8e+06 16988.46368
## 1785 0.11086835 1.09 1.09 0.2 0.125 1.2960999 8e+06 16972.54511
## 1786 0.10399298 1.09 1.09 0.2 0.125 1.3179846 8e+06 17113.64811
## 1787 0.11070517 1.09 1.09 0.2 0.125 1.4065050 8e+06 17159.65139
## 1788 0.11427566 1.09 1.09 0.2 0.125 1.2649508 8e+06 17638.53462
## 1789 0.11720889 1.09 1.09 0.2 0.125 1.2172524 8e+06 17806.05293
## 1790 0.11724490 1.09 1.09 0.2 0.125 1.1508548 8e+06 18035.01803
## 1791 0.11519587 1.09 1.09 0.2 0.125 1.2214375 8e+06 18304.39939
## 1792 0.11624057 1.09 1.09 0.2 0.125 1.2211573 8e+06 18204.91098
## 1793 0.11685409 1.09 1.09 0.2 0.125 1.2101363 8e+06 18431.94930
## 1794 0.11874086 1.09 1.09 0.2 0.125 1.1543513 8e+06 18560.62797
## 1795 0.12005905 1.09 1.09 0.2 0.125 1.3186120 8e+06 18556.14363
## 1796 0.11841902 1.09 1.09 0.2 0.125 1.3187013 8e+06 18425.18961
## 1797 0.11426772 1.09 1.09 0.2 0.125 1.4649501 8e+06 18801.67111
## 1798 0.11674251 1.09 1.09 0.2 0.125 1.4886263 8e+06 19147.81761
## 1799 0.12730396 1.09 1.09 0.2 0.125 1.4130766 8e+06 19146.22707
## 1800 0.11880254 1.09 1.09 0.2 0.125 1.4085527 8e+06 18991.59707
## 1801 0.11744511 1.09 1.09 0.2 0.125 1.4296569 8e+06 19160.22459
## 1802 0.11823393 1.09 1.09 0.2 0.125 1.3918541 8e+06 19079.28878
## 1803 0.11354435 1.09 1.09 0.2 0.125 1.4329233 8e+06 19598.83819
## 1804 0.10970162 1.09 1.09 0.2 0.125 1.4760385 8e+06 20115.72536
## 1805 0.10815094 1.09 1.09 0.2 0.125 1.4822688 8e+06 20329.91124
## 1806 0.10822119 1.09 1.09 0.2 0.125 1.5148187 8e+06 20399.97891
## 1807 0.10826042 1.09 1.09 0.2 0.125 1.6126080 8e+06 20521.11794
## 1808 0.10695175 1.09 1.09 0.2 0.125 1.8052172 8e+06 20676.00168
## 1809 0.10837159 1.09 1.09 0.2 0.125 2.1840149 8e+06 20892.28288
## 1810 0.10848826 1.09 1.09 0.2 0.125 2.3195374 8e+06 20749.54527
## 1811 0.11281848 1.09 1.09 0.2 0.125 2.3836595 8e+06 20474.46568
## 1812 0.11089632 1.09 1.09 0.2 0.125 2.3990057 8e+06 20589.25850
## 1813 0.11190860 1.09 1.09 0.2 0.125 2.3381351 8e+06 20517.56577
## 1814 0.11060723 1.09 1.09 0.2 0.125 2.7609853 8e+06 20621.61678
## 1815 0.11177317 1.09 1.09 0.2 0.125 2.7877570 8e+06 20498.91709
## 1816 0.11580640 1.09 1.09 0.2 0.125 2.8459825 8e+06 20408.12373
## 1817 0.11327867 1.09 1.09 0.2 0.125 2.7988885 8e+06 20796.50034
## 1818 0.11460419 1.09 1.09 0.2 0.125 2.9624031 8e+06 21145.92397
## 1819 0.11414854 1.09 1.09 0.2 0.125 2.7820125 8e+06 21266.39601
## 1820 0.11347224 1.09 1.09 0.2 0.125 2.6862749 8e+06 21216.45570
## 1821 0.11347224 1.09 1.09 0.2 0.125 2.6862749 8e+06 21216.45570
## 1822 0.11423711 1.09 1.09 0.2 0.125 2.6891934 8e+06 21192.01798
## 1823 0.11846715 1.09 1.09 0.2 0.125 2.6972767 8e+06 21305.51248
## 1824 0.12390630 1.09 1.09 0.2 0.125 3.0088296 8e+06 21430.66354
## 1825 0.12327582 1.09 1.09 0.2 0.125 2.8219395 8e+06 21391.03728
## 1826 0.12152468 1.09 1.09 0.2 0.125 2.8100819 8e+06 21131.12434
## 1827 0.12281613 1.09 1.09 0.2 0.125 2.7942266 8e+06 21324.85287
## 1828 0.11764839 1.09 1.09 0.2 0.125 2.7912803 8e+06 21568.75300
## 1829 0.12371575 1.09 1.09 0.2 0.125 2.8731340 8e+06 21980.46820
## 1830 0.12572971 1.09 1.09 0.2 0.125 3.0865116 8e+06 22068.36262
## 1831 0.11654382 1.09 1.09 0.2 0.125 3.0516978 8e+06 22309.23651
## 1832 0.12010847 1.09 1.09 0.2 0.125 3.3505350 8e+06 23030.84567
## 1833 0.12356892 1.09 1.09 0.2 0.125 3.0712700 8e+06 23446.60926
## 1834 0.12838121 1.09 1.09 0.2 0.125 2.7625822 8e+06 23957.40545
## 1835 0.12548135 1.09 1.09 0.2 0.125 2.9868220 8e+06 24357.76668
## 1836 0.12186403 1.09 1.09 0.2 0.125 3.3050728 8e+06 25012.17657
## 1837 0.12081148 1.09 1.09 0.2 0.125 3.2903662 8e+06 25378.34415
## 1838 0.11741189 1.09 1.09 0.2 0.125 3.1069440 8e+06 25427.74067
## 1839 0.12430868 1.09 1.09 0.2 0.125 3.1408465 8e+06 25404.79985
## 1840 0.11825926 1.09 1.09 0.2 0.125 3.1870780 8e+06 25338.95748
## 1841 0.12148781 1.09 1.09 0.2 0.125 2.8519926 8e+06 25514.94984
## 1842 0.11773888 1.09 1.09 0.2 0.125 2.9807490 8e+06 25696.84898
## 1843 0.11893430 1.09 1.09 0.2 0.125 2.9067321 8e+06 25902.79301
## 1844 0.11484267 1.09 1.09 0.2 0.125 3.1478439 8e+06 25960.60321
## 1845 0.12259834 1.09 1.09 0.2 0.125 3.2485069 8e+06 26045.62516
## 1846 0.12277457 1.09 1.09 0.2 0.125 3.5074731 8e+06 26648.93051
## 1847 0.12106167 1.09 1.09 0.2 0.125 3.6352869 8e+06 26919.20844
## 1848 0.12708159 1.09 1.09 0.2 0.125 3.8451196 8e+06 27100.21638
## 1849 0.11948111 1.09 1.09 0.2 0.125 4.0609136 8e+06 27681.74019
## 1850 0.12043121 1.09 1.09 0.2 0.125 4.3536199 8e+06 27777.52605
## 1851 0.12075633 1.09 1.09 0.2 0.125 4.9880102 8e+06 28336.46946
## 1852 0.12362792 1.09 1.09 0.2 0.125 5.1628272 8e+06 28327.43784
## 1853 0.12244619 1.09 1.09 0.2 0.125 5.1637312 8e+06 28482.35342
## 1854 0.12594265 1.09 1.09 0.2 0.125 4.6081527 8e+06 28317.33539
## 1855 0.13198760 1.09 1.09 0.2 0.125 4.7055585 8e+06 28118.41616
## 1856 0.13531503 1.09 1.09 0.2 0.125 4.5232509 8e+06 27691.80369
## 1857 0.14388268 1.09 1.09 0.2 0.125 3.4882664 8e+06 28067.12158
## 1858 0.14251967 1.09 1.09 0.2 0.125 3.6277539 8e+06 28163.38203
## 1859 0.13554883 1.09 1.09 0.2 0.125 3.4112411 8e+06 28206.49367
## 1860 0.13827171 1.09 1.09 0.2 0.125 3.4007358 8e+06 28233.99992
## 1861 0.14091149 1.09 1.09 0.2 0.125 3.7295029 8e+06 28382.96139
## 1862 0.14119705 1.09 1.09 0.2 0.125 4.2057029 8e+06 28685.44140
## 1863 0.14258249 1.09 1.09 0.2 0.125 4.4226436 8e+06 28834.29303
## 1864 0.14417956 1.09 1.09 0.2 0.125 4.8316525 8e+06 28985.64752
## 1865 0.14028501 1.09 1.09 0.2 0.125 5.3484461 8e+06 29226.98486
## 1866 0.14247848 1.09 1.09 0.2 0.125 5.1340928 8e+06 29367.41446
## 1867 0.14448608 1.09 1.09 0.2 0.125 5.3548200 8e+06 29530.17693
## 1868 0.13969614 1.09 1.09 0.2 0.125 5.0682223 8e+06 29439.53935
## 1869 0.14061697 1.09 1.09 0.2 0.125 4.9401905 8e+06 29309.97405
## 1870 0.13960411 1.09 1.09 0.2 0.125 4.6002374 8e+06 29210.16751
## 1871 0.13836047 1.09 1.09 0.2 0.125 4.7092998 8e+06 29038.90797
## 1872 0.13836047 1.09 1.09 0.2 0.125 4.7092998 8e+06 29038.90797
## 1873 0.31588311 1.09 1.09 0.2 0.125 0.4110612 8e+06 11619.37661
## 1874 0.31588311 1.09 1.09 0.2 0.125 0.4110612 8e+06 11619.37661
## 1875 0.32533202 1.09 1.09 0.2 0.125 0.3692271 8e+06 11445.76995
## 1876 0.35340059 1.09 1.09 0.2 0.125 0.3893186 8e+06 11609.14862
## 1877 0.34254574 1.09 1.09 0.2 0.125 0.4401683 8e+06 11834.26818
## 1878 0.36044092 1.09 1.09 0.2 0.125 0.4097837 8e+06 11809.81705
## 1879 0.27200477 1.09 1.09 0.2 0.125 0.3892401 8e+06 12091.34705
## 1880 0.21524944 1.09 1.09 0.2 0.125 0.4955477 8e+06 12065.51016
## 1881 0.18253077 1.09 1.09 0.2 0.125 0.5209820 8e+06 12276.64594
## 1882 0.12707034 1.09 1.09 0.2 0.125 0.6386745 8e+06 11898.18948
## 1883 0.09998632 1.09 1.09 0.2 0.125 0.7511646 8e+06 11972.41387
## 1884 0.08809720 1.09 1.09 0.2 0.125 0.7865475 8e+06 12162.20897
## 1885 0.09015095 1.09 1.09 0.2 0.125 0.7198652 8e+06 12267.65370
## 1886 0.09595242 1.09 1.09 0.2 0.125 0.8156321 8e+06 12478.39659
## 1887 0.08999293 1.09 1.09 0.2 0.125 0.7092067 8e+06 12346.85884
## 1888 0.10944550 1.09 1.09 0.2 0.125 0.5589623 8e+06 12049.53371
## 1889 0.10242809 1.09 1.09 0.2 0.125 0.6020577 8e+06 12337.69246
## 1890 0.10043525 1.09 1.09 0.2 0.125 0.6251272 8e+06 12669.75551
## 1891 0.10270289 1.09 1.09 0.2 0.125 0.7359322 8e+06 12874.49261
## 1892 0.10335011 1.09 1.09 0.2 0.125 0.6874147 8e+06 12776.23893
## 1893 0.13125346 1.09 1.09 0.2 0.125 0.5709810 8e+06 12715.88174
## 1894 0.14133780 1.09 1.09 0.2 0.125 0.5774275 8e+06 12870.89714
## 1895 0.13541395 1.09 1.09 0.2 0.125 0.5872664 8e+06 12729.05278
## 1896 0.14246860 1.09 1.09 0.2 0.125 0.5881346 8e+06 12751.71232
## 1897 0.14426164 1.09 1.09 0.2 0.125 0.7259961 8e+06 12875.03826
## 1898 0.14811450 1.09 1.09 0.2 0.125 0.6775916 8e+06 12311.68392
## 1899 0.15547032 1.09 1.09 0.2 0.125 0.6778441 8e+06 12256.75648
## 1900 0.15374609 1.09 1.09 0.2 0.125 0.6784285 8e+06 12071.09709
## 1901 0.17262929 1.09 1.09 0.2 0.125 0.7031196 8e+06 12072.94708
## 1902 0.18247916 1.09 1.09 0.2 0.125 0.8500500 8e+06 12082.22376
## 1903 0.19760319 1.09 1.09 0.2 0.125 0.9551017 8e+06 11841.34358
## 1904 0.21183279 1.09 1.09 0.2 0.125 0.8873761 8e+06 11813.70717
## 1905 0.22806769 1.09 1.09 0.2 0.125 0.9154503 8e+06 12361.46539
## 1906 0.23303130 1.09 1.09 0.2 0.125 1.0500794 8e+06 12578.63955
## 1907 0.25530799 1.09 1.09 0.2 0.125 1.0672738 8e+06 12619.20898
## 1908 0.26913069 1.09 1.09 0.2 0.125 1.3823546 8e+06 12515.90200
## 1909 0.28804943 1.09 1.09 0.2 0.125 1.5961080 8e+06 12385.13648
## 1910 0.30972505 1.09 1.09 0.2 0.125 1.4105193 8e+06 12259.90200
## 1911 0.34035980 1.09 1.09 0.2 0.125 1.4480611 8e+06 12172.14687
## 1912 0.34111454 1.09 1.09 0.2 0.125 1.5243120 8e+06 12076.07659
## 1913 0.40974807 1.09 1.09 0.2 0.125 1.5966013 8e+06 11918.21209
## 1914 0.43467801 1.09 1.09 0.2 0.125 1.6078987 8e+06 11873.47880
## 1915 0.49160028 1.09 1.09 0.2 0.125 1.5715051 8e+06 11694.94388
## 1916 0.50919242 1.09 1.09 0.2 0.125 1.5917440 8e+06 11669.16365
## 1917 0.54286044 1.09 1.09 0.2 0.125 1.6118850 8e+06 11738.05682
## 1918 0.57566723 1.09 1.09 0.2 0.125 1.7612083 8e+06 11841.98271
## 1919 0.58522902 1.09 1.09 0.2 0.125 1.8748613 8e+06 11902.85518
## 1920 0.60425529 1.09 1.09 0.2 0.125 1.9558003 8e+06 11991.98170
## 1921 0.61662371 1.09 1.09 0.2 0.125 1.9900436 8e+06 11983.48756
## 1922 0.61321493 1.09 1.09 0.2 0.125 1.7116367 8e+06 12178.24800
## 1923 0.63625000 1.09 1.09 0.2 0.125 1.7643589 8e+06 12442.27494
## 1924 0.65111689 1.09 1.09 0.2 0.125 1.6966745 8e+06 12477.05861
## 1925 0.65111689 1.09 1.09 0.2 0.125 1.6966745 8e+06 12477.05861
## 1926 0.66022997 1.09 1.09 0.2 0.125 1.7099069 8e+06 12440.61694
## 1927 0.66209017 1.09 1.09 0.2 0.125 1.5752238 8e+06 12494.75177
## 1928 0.65624341 1.09 1.09 0.2 0.125 1.7309149 8e+06 12788.61171
## 1929 0.64295752 1.09 1.09 0.2 0.125 1.7282294 8e+06 12986.39061
## 1930 0.64683518 1.09 1.09 0.2 0.125 2.0191392 8e+06 13109.85038
## 1931 0.66646583 1.09 1.09 0.2 0.125 1.8816144 8e+06 13265.78763
## 1932 0.65841308 1.09 1.09 0.2 0.125 1.8544251 8e+06 13121.84913
## 1933 0.69047629 1.09 1.09 0.2 0.125 1.8616751 8e+06 13370.63396
## 1934 0.65267646 1.09 1.09 0.2 0.125 1.8866297 8e+06 13114.92918
## 1935 0.66659247 1.09 1.09 0.2 0.125 1.9294060 8e+06 13375.72261
## 1936 0.67757395 1.09 1.09 0.2 0.125 1.9366147 8e+06 13773.42781
## 1937 0.64864490 1.09 1.09 0.2 0.125 1.9963346 8e+06 13509.17340
## 1938 0.66380792 1.09 1.09 0.2 0.125 2.6597746 8e+06 14176.49313
## 1939 0.66176362 1.09 1.09 0.2 0.125 1.9372505 8e+06 14509.60978
## 1940 0.65716330 1.09 1.09 0.2 0.125 2.1915684 8e+06 14600.95123
## 1941 0.64050849 1.09 1.09 0.2 0.125 2.6016204 8e+06 14397.34554
## 1942 0.64654021 1.09 1.09 0.2 0.125 2.7363442 8e+06 14308.52419
## 1943 0.64132473 1.09 1.09 0.2 0.125 2.2711715 8e+06 15105.97457
## 1944 0.66404696 1.09 1.09 0.2 0.125 2.5448316 8e+06 15466.93283
## 1945 0.67765833 1.09 1.09 0.2 0.125 2.4290434 8e+06 15747.66192
## 1946 0.66906783 1.09 1.09 0.2 0.125 2.8296610 8e+06 15574.48627
## 1947 0.67818642 1.09 1.09 0.2 0.125 2.3824185 8e+06 15997.94835
## 1948 0.67058385 1.09 1.09 0.2 0.125 2.2833906 8e+06 16266.35750
## 1949 0.68362484 1.09 1.09 0.2 0.125 2.5361232 8e+06 16362.39517
## 1950 0.67068929 1.09 1.09 0.2 0.125 2.2643432 8e+06 16199.68121
## 1951 0.68471056 1.09 1.09 0.2 0.125 2.1334620 8e+06 16546.82492
## 1952 0.69391399 1.09 1.09 0.2 0.125 1.9904694 8e+06 16767.46302
## 1953 0.70653994 1.09 1.09 0.2 0.125 1.7750006 8e+06 16844.06602
## 1954 0.70929271 1.09 1.09 0.2 0.125 1.8553934 8e+06 16737.02704
## 1955 0.70690029 1.09 1.09 0.2 0.125 1.2987450 8e+06 16816.24131
## 1956 0.69145924 1.09 1.09 0.2 0.125 1.2796112 8e+06 16877.94211
## 1957 0.68432492 1.09 1.09 0.2 0.125 1.1826554 8e+06 17028.77741
## 1958 0.69968610 1.09 1.09 0.2 0.125 1.3069230 8e+06 16963.54894
## 1959 0.69758921 1.09 1.09 0.2 0.125 1.0796969 8e+06 17182.24732
## 1960 0.68192077 1.09 1.09 0.2 0.125 1.1692376 8e+06 17571.29335
## 1961 0.68047024 1.09 1.09 0.2 0.125 1.1952421 8e+06 17595.85776
## 1962 0.67789140 1.09 1.09 0.2 0.125 1.3530760 8e+06 17629.78364
## 1963 0.67701220 1.09 1.09 0.2 0.125 1.3172035 8e+06 17755.14930
## 1964 0.67897832 1.09 1.09 0.2 0.125 1.2159533 8e+06 17678.54787
## 1965 0.67490150 1.09 1.09 0.2 0.125 1.3143946 8e+06 17852.55110
## 1966 0.67861279 1.09 1.09 0.2 0.125 1.2987543 8e+06 17872.76642
## 1967 0.68541077 1.09 1.09 0.2 0.125 1.2565957 8e+06 17852.63195
## 1968 0.68301372 1.09 1.09 0.2 0.125 1.2747585 8e+06 18051.79550
## 1969 0.68360435 1.09 1.09 0.2 0.125 1.2343468 8e+06 18497.21340
## 1970 0.68504510 1.09 1.09 0.2 0.125 1.4074886 8e+06 18575.41786
## 1971 0.68313378 1.09 1.09 0.2 0.125 1.4199045 8e+06 18784.56693
## 1972 0.69869376 1.09 1.09 0.2 0.125 1.5575545 8e+06 18942.73283
## 1973 0.70010621 1.09 1.09 0.2 0.125 1.5835217 8e+06 18976.20634
## 1974 0.69311061 1.09 1.09 0.2 0.125 1.5910080 8e+06 19068.19488
## 1975 0.68396877 1.09 1.09 0.2 0.125 1.6204706 8e+06 19091.35239
## 1976 0.68396877 1.09 1.09 0.2 0.125 1.6204706 8e+06 19091.35239
## 1977 0.05740236 1.09 1.09 0.2 0.125 0.5318124 8e+06 14122.82718
## 1978 0.05740236 1.09 1.09 0.2 0.125 0.5318124 8e+06 14122.82718
## 1979 0.06793072 1.09 1.09 0.2 0.125 0.5262857 8e+06 13970.03469
## 1980 0.07749813 1.09 1.09 0.2 0.125 0.4758541 8e+06 13982.25310
## 1981 0.09518022 1.09 1.09 0.2 0.125 0.4981570 8e+06 14054.24628
## 1982 0.11423604 1.09 1.09 0.2 0.125 0.6428125 8e+06 14241.69983
## 1983 0.16508054 1.09 1.09 0.2 0.125 0.5421099 8e+06 14188.41308
## 1984 0.22417165 1.09 1.09 0.2 0.125 0.5275762 8e+06 14253.02472
## 1985 0.26915463 1.09 1.09 0.2 0.125 0.5631141 8e+06 14130.41482
## 1986 0.27896157 1.09 1.09 0.2 0.125 0.6177209 8e+06 13931.27955
## 1987 0.29972828 1.09 1.09 0.2 0.125 0.7662063 8e+06 14193.54260
## 1988 0.30290976 1.09 1.09 0.2 0.125 0.7775799 8e+06 14182.59600
## 1989 0.30439954 1.09 1.09 0.2 0.125 0.8503261 8e+06 14428.82180
## 1990 0.30493256 1.09 1.09 0.2 0.125 0.8805610 8e+06 14052.44843
## 1991 0.31440032 1.09 1.09 0.2 0.125 1.0073796 8e+06 13941.59368
## 1992 0.30176935 1.09 1.09 0.2 0.125 1.2105307 8e+06 13714.34520
## 1993 0.30372751 1.09 1.09 0.2 0.125 1.2889319 8e+06 13371.94714
## 1994 0.30768938 1.09 1.09 0.2 0.125 1.3396244 8e+06 12831.37616
## 1995 0.31450716 1.09 1.09 0.2 0.125 1.3728699 8e+06 12902.60491
## 1996 0.30477897 1.09 1.09 0.2 0.125 1.5351802 8e+06 12966.69034
## 1997 0.30273168 1.09 1.09 0.2 0.125 1.4466123 8e+06 13078.16640
## 1998 0.31396837 1.09 1.09 0.2 0.125 1.5739878 8e+06 13105.15968
## 1999 0.30095083 1.09 1.09 0.2 0.125 1.4503926 8e+06 12857.83963
## 2000 0.28968204 1.09 1.09 0.2 0.125 1.6744448 8e+06 13033.83053
## 2001 0.27542604 1.09 1.09 0.2 0.125 1.5754329 8e+06 13003.95508
## 2002 0.28752557 1.09 1.09 0.2 0.125 1.5070918 8e+06 12890.22193
## 2003 0.29630033 1.09 1.09 0.2 0.125 1.6018133 8e+06 12904.21518
## 2004 0.29053263 1.09 1.09 0.2 0.125 1.6346977 8e+06 12735.37178
## 2005 0.27639157 1.09 1.09 0.2 0.125 1.8702707 8e+06 12624.71455
## 2006 0.27855407 1.09 1.09 0.2 0.125 1.9333194 8e+06 12484.93526
## 2007 0.27957383 1.09 1.09 0.2 0.125 2.1315672 8e+06 12482.96317
## 2008 0.28140833 1.09 1.09 0.2 0.125 2.1098667 8e+06 12393.70849
## 2009 0.28134410 1.09 1.09 0.2 0.125 2.2057497 8e+06 12298.76429
## 2010 0.29141459 1.09 1.09 0.2 0.125 2.3386636 8e+06 12183.54755
## 2011 0.29225479 1.09 1.09 0.2 0.125 2.3497954 8e+06 12002.71298
## 2012 0.28956140 1.09 1.09 0.2 0.125 2.5052582 8e+06 11990.18101
## 2013 0.28117647 1.09 1.09 0.2 0.125 2.5631278 8e+06 12029.72534
## 2014 0.28201584 1.09 1.09 0.2 0.125 2.8239146 8e+06 12044.16801
## 2015 0.27774641 1.09 1.09 0.2 0.125 2.9610847 8e+06 11982.75379
## 2016 0.27533287 1.09 1.09 0.2 0.125 2.8905539 8e+06 12038.40049
## 2017 0.28204000 1.09 1.09 0.2 0.125 2.9955114 8e+06 12075.40031
## 2018 0.28507825 1.09 1.09 0.2 0.125 3.3346579 8e+06 12048.13588
## 2019 0.28729450 1.09 1.09 0.2 0.125 3.3764823 8e+06 11926.79906
## 2020 0.28214518 1.09 1.09 0.2 0.125 3.3743333 8e+06 11820.00779
## 2021 0.27823635 1.09 1.09 0.2 0.125 3.6837090 8e+06 11763.09647
## 2022 0.26976408 1.09 1.09 0.2 0.125 3.6117662 8e+06 11772.89911
## 2023 0.26588766 1.09 1.09 0.2 0.125 3.4679106 8e+06 11651.73834
## 2024 0.27058601 1.09 1.09 0.2 0.125 3.4044523 8e+06 11637.46487
## 2025 0.27520763 1.09 1.09 0.2 0.125 3.3409280 8e+06 11583.41231
## 2026 0.27746578 1.09 1.09 0.2 0.125 3.2483350 8e+06 11535.09373
## 2027 0.27686863 1.09 1.09 0.2 0.125 3.3339001 8e+06 11457.06995
## 2028 0.27839002 1.09 1.09 0.2 0.125 3.3594365 8e+06 11406.93221
## 2029 0.27839002 1.09 1.09 0.2 0.125 3.3594365 8e+06 11406.93221
## 2030 0.27269165 1.09 1.09 0.2 0.125 3.3276096 8e+06 11398.34684
## 2031 0.27950013 1.09 1.09 0.2 0.125 3.4676175 8e+06 11357.96931
## 2032 0.27663170 1.09 1.09 0.2 0.125 3.7270424 8e+06 11369.25074
## 2033 0.28125248 1.09 1.09 0.2 0.125 4.0485327 8e+06 11347.63551
## 2034 0.27639114 1.09 1.09 0.2 0.125 4.0778089 8e+06 11455.77769
## 2035 0.28412931 1.09 1.09 0.2 0.125 4.2631122 8e+06 11471.80955
## 2036 0.27182282 1.09 1.09 0.2 0.125 4.0151691 8e+06 11582.17915
## 2037 0.26990605 1.09 1.09 0.2 0.125 3.9778244 8e+06 11546.40010
## 2038 0.25870653 1.09 1.09 0.2 0.125 3.8600260 8e+06 11677.14394
## 2039 0.27226594 1.09 1.09 0.2 0.125 3.5473354 8e+06 11492.99412
## 2040 0.27060231 1.09 1.09 0.2 0.125 3.2244526 8e+06 11333.91216
## 2041 0.26702834 1.09 1.09 0.2 0.125 3.0123567 8e+06 11215.04127
## 2042 0.26501426 1.09 1.09 0.2 0.125 3.1047331 8e+06 11118.93076
## 2043 0.26537886 1.09 1.09 0.2 0.125 3.3893027 8e+06 11238.05029
## 2044 0.26774525 1.09 1.09 0.2 0.125 3.8168098 8e+06 11358.06510
## 2045 0.25929374 1.09 1.09 0.2 0.125 4.3881410 8e+06 11483.17845
## 2046 0.27167273 1.09 1.09 0.2 0.125 4.8294398 8e+06 11471.94361
## 2047 0.27209828 1.09 1.09 0.2 0.125 5.0634374 8e+06 11563.95357
## 2048 0.26325058 1.09 1.09 0.2 0.125 5.2068708 8e+06 11604.89946
## 2049 0.25958962 1.09 1.09 0.2 0.125 5.1935304 8e+06 11658.42932
## 2050 0.26613985 1.09 1.09 0.2 0.125 5.3195304 8e+06 11686.60314
## 2051 0.26598154 1.09 1.09 0.2 0.125 5.2212874 8e+06 11555.57241
## 2052 0.25349901 1.09 1.09 0.2 0.125 5.4949066 8e+06 11548.29168
## 2053 0.25092104 1.09 1.09 0.2 0.125 5.4278053 8e+06 11635.15016
## 2054 0.25347179 1.09 1.09 0.2 0.125 5.9313854 8e+06 11566.53410
## 2055 0.25618217 1.09 1.09 0.2 0.125 6.0216613 8e+06 11390.75789
## 2056 0.25773472 1.09 1.09 0.2 0.125 6.2536769 8e+06 11300.85891
## 2057 0.25819582 1.09 1.09 0.2 0.125 5.9491397 8e+06 11298.57137
## 2058 0.25626806 1.09 1.09 0.2 0.125 5.9179819 8e+06 11314.39332
## 2059 0.25805386 1.09 1.09 0.2 0.125 6.1664917 8e+06 11295.43822
## 2060 0.25934114 1.09 1.09 0.2 0.125 6.0743665 8e+06 11200.02151
## 2061 0.25786131 1.09 1.09 0.2 0.125 6.3343698 8e+06 11128.76784
## 2062 0.26817332 1.09 1.09 0.2 0.125 6.3287113 8e+06 11093.87789
## 2063 0.26614359 1.09 1.09 0.2 0.125 6.5208473 8e+06 10967.38936
## 2064 0.26384795 1.09 1.09 0.2 0.125 6.4358776 8e+06 11122.90981
## 2065 0.26257042 1.09 1.09 0.2 0.125 6.7278226 8e+06 11060.16396
## 2066 0.26490084 1.09 1.09 0.2 0.125 6.8264962 8e+06 11053.85704
## 2067 0.25721736 1.09 1.09 0.2 0.125 6.3294220 8e+06 11168.03343
## 2068 0.26329504 1.09 1.09 0.2 0.125 6.1689272 8e+06 11222.07360
## 2069 0.25754464 1.09 1.09 0.2 0.125 6.3189551 8e+06 11151.12655
## 2070 0.26166002 1.09 1.09 0.2 0.125 6.2430611 8e+06 11153.71114
## 2071 0.25624986 1.09 1.09 0.2 0.125 6.5259410 8e+06 11146.71530
## 2072 0.25644298 1.09 1.09 0.2 0.125 6.4539186 8e+06 11225.67709
## 2073 0.25616004 1.09 1.09 0.2 0.125 6.1610465 8e+06 11257.06533
## 2074 0.25622498 1.09 1.09 0.2 0.125 6.3843662 8e+06 11149.12292
## 2075 0.25339196 1.09 1.09 0.2 0.125 6.3158647 8e+06 11159.49817
## 2076 0.25483684 1.09 1.09 0.2 0.125 6.5594047 8e+06 11171.43593
## 2077 0.24963404 1.09 1.09 0.2 0.125 7.0603800 8e+06 11204.21782
## 2078 0.25051622 1.09 1.09 0.2 0.125 7.2575483 8e+06 11239.97774
## 2079 0.24652595 1.09 1.09 0.2 0.125 7.6704402 8e+06 11184.12772
## 2080 0.24652595 1.09 1.09 0.2 0.125 7.6704402 8e+06 11184.12772
## 2081 0.20973866 1.09 1.09 0.2 0.125 0.4551822 8e+06 2171.72515
## 2082 0.20973866 1.09 1.09 0.2 0.125 0.4551822 8e+06 2171.72515
## 2083 0.21675591 1.09 1.09 0.2 0.125 0.3534448 8e+06 2182.52881
## 2084 0.21924468 1.09 1.09 0.2 0.125 0.4051749 8e+06 2156.15329
## 2085 0.20842477 1.09 1.09 0.2 0.125 0.2294201 8e+06 2177.17478
## 2086 0.22846657 1.09 1.09 0.2 0.125 0.3626491 8e+06 2119.39100
## 2087 0.19772941 1.09 1.09 0.2 0.125 0.4003908 8e+06 2113.99432
## 2088 0.14453731 1.09 1.09 0.2 0.125 0.3908748 8e+06 2143.47962
## 2089 0.13665507 1.09 1.09 0.2 0.125 0.4323015 8e+06 2159.43189
## 2090 0.12741894 1.09 1.09 0.2 0.125 0.4889339 8e+06 2159.18894
## 2091 0.11674952 1.09 1.09 0.2 0.125 0.5213900 8e+06 2165.16474
## 2092 0.12613308 1.09 1.09 0.2 0.125 0.6632417 8e+06 2160.57791
## 2093 0.12996589 1.09 1.09 0.2 0.125 0.8036194 8e+06 2176.78857
## 2094 0.12144704 1.09 1.09 0.2 0.125 0.8281810 8e+06 2130.68454
## 2095 0.11217740 1.09 1.09 0.2 0.125 1.0136471 8e+06 2122.48685
## 2096 0.12386770 1.09 1.09 0.2 0.125 1.2759043 8e+06 2079.36906
## 2097 0.12446581 1.09 1.09 0.2 0.125 1.3960395 8e+06 2106.05226
## 2098 0.12002241 1.09 1.09 0.2 0.125 1.3589947 8e+06 2136.88768
## 2099 0.11259079 1.09 1.09 0.2 0.125 1.4186209 8e+06 2138.29269
## 2100 0.10766625 1.09 1.09 0.2 0.125 1.3278982 8e+06 2161.69653
## 2101 0.11506804 1.09 1.09 0.2 0.125 1.5889373 8e+06 2152.36402
## 2102 0.11383601 1.09 1.09 0.2 0.125 1.6649951 8e+06 2150.97903
## 2103 0.10643168 1.09 1.09 0.2 0.125 1.7029183 8e+06 2184.87690
## 2104 0.10477550 1.09 1.09 0.2 0.125 2.0633812 8e+06 2200.38702
## 2105 0.10768231 1.09 1.09 0.2 0.125 2.3028489 8e+06 2212.45366
## 2106 0.10707060 1.09 1.09 0.2 0.125 2.6675533 8e+06 2241.53800
## 2107 0.10747195 1.09 1.09 0.2 0.125 2.9091369 8e+06 2260.57008
## 2108 0.10887571 1.09 1.09 0.2 0.125 3.2486543 8e+06 2265.10273
## 2109 0.10996528 1.09 1.09 0.2 0.125 3.3856273 8e+06 2245.50397
## 2110 0.10479247 1.09 1.09 0.2 0.125 3.5119916 8e+06 2238.50689
## 2111 0.10512078 1.09 1.09 0.2 0.125 3.5545018 8e+06 2274.38497
## 2112 0.10349920 1.09 1.09 0.2 0.125 3.5735221 8e+06 2289.80161
## 2113 0.10664288 1.09 1.09 0.2 0.125 3.6717855 8e+06 2346.21893
## 2114 0.10714407 1.09 1.09 0.2 0.125 3.7463152 8e+06 2355.07162
## 2115 0.10967142 1.09 1.09 0.2 0.125 3.6964406 8e+06 2408.08688
## 2116 0.11032307 1.09 1.09 0.2 0.125 3.7621910 8e+06 2435.80490
## 2117 0.11192522 1.09 1.09 0.2 0.125 3.7677583 8e+06 2461.25417
## 2118 0.11496900 1.09 1.09 0.2 0.125 4.0563680 8e+06 2473.77739
## 2119 0.10808676 1.09 1.09 0.2 0.125 4.0195384 8e+06 2513.01259
## 2120 0.10996383 1.09 1.09 0.2 0.125 3.9044451 8e+06 2539.03195
## 2121 0.11121200 1.09 1.09 0.2 0.125 4.0374271 8e+06 2576.81089
## 2122 0.11248980 1.09 1.09 0.2 0.125 3.8436019 8e+06 2581.22726
## 2123 0.11045805 1.09 1.09 0.2 0.125 4.0583845 8e+06 2604.22026
## 2124 0.11049503 1.09 1.09 0.2 0.125 4.3588219 8e+06 2600.11804
## 2125 0.11322856 1.09 1.09 0.2 0.125 4.5637367 8e+06 2604.82406
## 2126 0.11048991 1.09 1.09 0.2 0.125 4.6938789 8e+06 2607.64169
## 2127 0.10982147 1.09 1.09 0.2 0.125 4.6186904 8e+06 2611.81574
## 2128 0.10959773 1.09 1.09 0.2 0.125 5.0864149 8e+06 2608.48893
## 2129 0.10986428 1.09 1.09 0.2 0.125 5.1880943 8e+06 2627.31683
## 2130 0.10950242 1.09 1.09 0.2 0.125 5.6528218 8e+06 2646.44109
## 2131 0.10950270 1.09 1.09 0.2 0.125 5.9507930 8e+06 2671.15338
## 2132 0.11014159 1.09 1.09 0.2 0.125 5.8984251 8e+06 2682.02174
## 2133 0.11014159 1.09 1.09 0.2 0.125 5.8984251 8e+06 2682.02174
## 2134 0.11175572 1.09 1.09 0.2 0.125 5.7763395 8e+06 2683.48123
## 2135 0.11729125 1.09 1.09 0.2 0.125 5.6947609 8e+06 2694.13127
## 2136 0.11416994 1.09 1.09 0.2 0.125 5.6021587 8e+06 2701.22939
## 2137 0.10704988 1.09 1.09 0.2 0.125 6.1225982 8e+06 2704.09184
## 2138 0.11091040 1.09 1.09 0.2 0.125 6.5559153 8e+06 2686.48067
## 2139 0.11352408 1.09 1.09 0.2 0.125 6.6012373 8e+06 2670.24948
## 2140 0.11469690 1.09 1.09 0.2 0.125 6.7073658 8e+06 2675.83122
## 2141 0.11363715 1.09 1.09 0.2 0.125 6.3528174 8e+06 2725.64319
## 2142 0.11160431 1.09 1.09 0.2 0.125 6.5893725 8e+06 2765.74321
## 2143 0.12480298 1.09 1.09 0.2 0.125 6.4663482 8e+06 2794.07528
## 2144 0.11845315 1.09 1.09 0.2 0.125 7.0234183 8e+06 2815.94347
## 2145 0.10923159 1.09 1.09 0.2 0.125 4.9625159 8e+06 2875.79102
## 2146 0.10870312 1.09 1.09 0.2 0.125 4.2910523 8e+06 2916.17760
## 2147 0.11250497 1.09 1.09 0.2 0.125 3.9009848 8e+06 2938.92663
## 2148 0.10833544 1.09 1.09 0.2 0.125 3.9342376 8e+06 3012.33238
## 2149 0.10771301 1.09 1.09 0.2 0.125 3.9669524 8e+06 3036.18318
## 2150 0.10898865 1.09 1.09 0.2 0.125 4.1491560 8e+06 3078.47336
## 2151 0.11930799 1.09 1.09 0.2 0.125 4.3712856 8e+06 3008.66480
## 2152 0.11320029 1.09 1.09 0.2 0.125 4.4555688 8e+06 3102.09622
## 2153 0.11596523 1.09 1.09 0.2 0.125 4.7646269 8e+06 3188.06830
## 2154 0.11878097 1.09 1.09 0.2 0.125 5.1792071 8e+06 3263.32735
## 2155 0.11355997 1.09 1.09 0.2 0.125 4.9017136 8e+06 3323.72564
## 2156 0.11156248 1.09 1.09 0.2 0.125 5.0474288 8e+06 3340.78023
## 2157 0.11155425 1.09 1.09 0.2 0.125 4.4719559 8e+06 3387.81077
## 2158 0.11169475 1.09 1.09 0.2 0.125 3.9588315 8e+06 3418.10413
## 2159 0.11316011 1.09 1.09 0.2 0.125 3.8501973 8e+06 3467.16277
## 2160 0.11382330 1.09 1.09 0.2 0.125 3.3569478 8e+06 3510.57254
## 2161 0.11790132 1.09 1.09 0.2 0.125 3.1742778 8e+06 3498.81258
## 2162 0.11475627 1.09 1.09 0.2 0.125 3.2520189 8e+06 3553.52428
## 2163 0.11801732 1.09 1.09 0.2 0.125 3.4987106 8e+06 3550.61177
## 2164 0.11991594 1.09 1.09 0.2 0.125 3.8963453 8e+06 3535.52498
## 2165 0.11994741 1.09 1.09 0.2 0.125 3.9873122 8e+06 3550.52134
## 2166 0.11990183 1.09 1.09 0.2 0.125 4.0900026 8e+06 3572.46865
## 2167 0.12180266 1.09 1.09 0.2 0.125 4.4611325 8e+06 3566.24010
## 2168 0.12074727 1.09 1.09 0.2 0.125 4.6157216 8e+06 3569.48247
## 2169 0.12301299 1.09 1.09 0.2 0.125 4.5915555 8e+06 3589.15870
## 2170 0.12315975 1.09 1.09 0.2 0.125 4.3132774 8e+06 3590.17382
## 2171 0.12400318 1.09 1.09 0.2 0.125 4.5353099 8e+06 3616.57406
## 2172 0.11999517 1.09 1.09 0.2 0.125 4.7773743 8e+06 3643.88087
## 2173 0.12300214 1.09 1.09 0.2 0.125 3.8534022 8e+06 3670.04167
## 2174 0.12039815 1.09 1.09 0.2 0.125 4.5041977 8e+06 3674.27880
## 2175 0.12084377 1.09 1.09 0.2 0.125 4.4199994 8e+06 3711.92736
## 2176 0.11735052 1.09 1.09 0.2 0.125 4.4225960 8e+06 3687.84170
## 2177 0.11792092 1.09 1.09 0.2 0.125 4.4683730 8e+06 3710.24813
## 2178 0.11682677 1.09 1.09 0.2 0.125 4.3308348 8e+06 3730.02486
## 2179 0.11669415 1.09 1.09 0.2 0.125 3.9198834 8e+06 3799.34531
## 2180 0.11659865 1.09 1.09 0.2 0.125 3.2765712 8e+06 3870.07462
## 2181 0.12031568 1.09 1.09 0.2 0.125 3.0700820 8e+06 3939.13231
## 2182 0.11863142 1.09 1.09 0.2 0.125 2.8457298 8e+06 4006.99653
## 2183 0.12307218 1.09 1.09 0.2 0.125 2.9140760 8e+06 4023.41783
## 2184 0.12307218 1.09 1.09 0.2 0.125 2.9140760 8e+06 4023.41783
## 2185 0.29609108 1.09 1.09 0.2 0.125 0.6528457 8e+06 6579.68094
## 2186 0.29609108 1.09 1.09 0.2 0.125 0.6528457 8e+06 6579.68094
## 2187 0.31690314 1.09 1.09 0.2 0.125 0.5633747 8e+06 6555.36688
## 2188 0.25145326 1.09 1.09 0.2 0.125 0.6376313 8e+06 6278.58751
## 2189 0.25720493 1.09 1.09 0.2 0.125 0.7933599 8e+06 6397.50339
## 2190 0.20388690 1.09 1.09 0.2 0.125 0.6996583 8e+06 6394.64822
## 2191 0.17466307 1.09 1.09 0.2 0.125 0.7418795 8e+06 6299.20178
## 2192 0.15241785 1.09 1.09 0.2 0.125 0.7294094 8e+06 6275.23346
## 2193 0.11704305 1.09 1.09 0.2 0.125 0.7419678 8e+06 6311.10296
## 2194 0.10731108 1.09 1.09 0.2 0.125 0.9194188 8e+06 6239.99010
## 2195 0.10470851 1.09 1.09 0.2 0.125 1.0124654 8e+06 6211.81042
## 2196 0.09686443 1.09 1.09 0.2 0.125 1.1027960 8e+06 6294.26688
## 2197 0.09356397 1.09 1.09 0.2 0.125 1.0780012 8e+06 6300.49516
## 2198 0.08887676 1.09 1.09 0.2 0.125 1.0314293 8e+06 6451.16830
## 2199 0.08890106 1.09 1.09 0.2 0.125 1.1065809 8e+06 6460.65012
## 2200 0.08981543 1.09 1.09 0.2 0.125 1.3223649 8e+06 6455.39526
## 2201 0.08996538 1.09 1.09 0.2 0.125 1.5479082 8e+06 6518.53980
## 2202 0.08182519 1.09 1.09 0.2 0.125 1.7017456 8e+06 6556.25781
## 2203 0.08794593 1.09 1.09 0.2 0.125 1.8971442 8e+06 6540.16122
## 2204 0.09572184 1.09 1.09 0.2 0.125 2.1963591 8e+06 6461.61790
## 2205 0.10122567 1.09 1.09 0.2 0.125 2.2142991 8e+06 6449.03566
## 2206 0.10359914 1.09 1.09 0.2 0.125 2.1827321 8e+06 6439.79821
## 2207 0.10160810 1.09 1.09 0.2 0.125 2.0712609 8e+06 6509.22868
## 2208 0.09570778 1.09 1.09 0.2 0.125 2.0944059 8e+06 6505.19695
## 2209 0.09551537 1.09 1.09 0.2 0.125 2.2938993 8e+06 6523.70114
## 2210 0.09659234 1.09 1.09 0.2 0.125 2.3504509 8e+06 6516.24248
## 2211 0.09350132 1.09 1.09 0.2 0.125 2.3703824 8e+06 6717.73912
## 2212 0.08410389 1.09 1.09 0.2 0.125 2.7508535 8e+06 6661.51506
## 2213 0.09540792 1.09 1.09 0.2 0.125 2.7355755 8e+06 6907.58204
## 2214 0.09460647 1.09 1.09 0.2 0.125 2.8125134 8e+06 7073.94802
## 2215 0.09607976 1.09 1.09 0.2 0.125 2.9945392 8e+06 7231.15977
## 2216 0.09417085 1.09 1.09 0.2 0.125 2.9607793 8e+06 7286.42955
## 2217 0.09541291 1.09 1.09 0.2 0.125 3.3002360 8e+06 7373.21773
## 2218 0.09377685 1.09 1.09 0.2 0.125 3.7256903 8e+06 7356.98648
## 2219 0.09534101 1.09 1.09 0.2 0.125 4.1358472 8e+06 7426.06784
## 2220 0.09462464 1.09 1.09 0.2 0.125 4.3654660 8e+06 7366.50681
## 2221 0.10021734 1.09 1.09 0.2 0.125 3.9748260 8e+06 7403.43023
## 2222 0.10378321 1.09 1.09 0.2 0.125 4.1535371 8e+06 7329.75812
## 2223 0.10709125 1.09 1.09 0.2 0.125 3.8307131 8e+06 7358.60441
## 2224 0.10775293 1.09 1.09 0.2 0.125 3.7230287 8e+06 7390.49110
## 2225 0.10788448 1.09 1.09 0.2 0.125 3.5727757 8e+06 7435.11817
## 2226 0.11049749 1.09 1.09 0.2 0.125 3.8021118 8e+06 7418.29591
## 2227 0.11052051 1.09 1.09 0.2 0.125 3.8273939 8e+06 7506.39926
## 2228 0.11184557 1.09 1.09 0.2 0.125 3.9054033 8e+06 7598.78208
## 2229 0.11305605 1.09 1.09 0.2 0.125 3.8969922 8e+06 7624.53272
## 2230 0.11272358 1.09 1.09 0.2 0.125 3.8226740 8e+06 7645.55811
## 2231 0.11339044 1.09 1.09 0.2 0.125 3.6542777 8e+06 7740.52122
## 2232 0.11125273 1.09 1.09 0.2 0.125 3.5708618 8e+06 7843.79629
## 2233 0.10920207 1.09 1.09 0.2 0.125 3.5895182 8e+06 7893.15836
## 2234 0.10984988 1.09 1.09 0.2 0.125 3.5529431 8e+06 7927.38587
## 2235 0.11055374 1.09 1.09 0.2 0.125 3.4149391 8e+06 7953.19869
## 2236 0.11265477 1.09 1.09 0.2 0.125 3.2495394 8e+06 7978.74282
## 2237 0.11265477 1.09 1.09 0.2 0.125 3.2495394 8e+06 7978.74282
## 2238 0.11627952 1.09 1.09 0.2 0.125 3.2351561 8e+06 7965.56612
## 2239 0.11371425 1.09 1.09 0.2 0.125 3.0245140 8e+06 8007.39493
## 2240 0.11138586 1.09 1.09 0.2 0.125 3.1658086 8e+06 7948.84201
## 2241 0.11200481 1.09 1.09 0.2 0.125 3.1069019 8e+06 7995.56345
## 2242 0.11083365 1.09 1.09 0.2 0.125 3.2731625 8e+06 8041.29823
## 2243 0.11035242 1.09 1.09 0.2 0.125 3.1353735 8e+06 7952.73436
## 2244 0.11075052 1.09 1.09 0.2 0.125 3.3292470 8e+06 8017.83155
## 2245 0.10907993 1.09 1.09 0.2 0.125 3.3409994 8e+06 8087.32391
## 2246 0.11142662 1.09 1.09 0.2 0.125 3.1443540 8e+06 8087.41932
## 2247 0.10758817 1.09 1.09 0.2 0.125 3.0829681 8e+06 7890.43371
## 2248 0.11437250 1.09 1.09 0.2 0.125 2.9592154 8e+06 7938.06615
## 2249 0.10927603 1.09 1.09 0.2 0.125 2.6126108 8e+06 8053.96806
## 2250 0.10438257 1.09 1.09 0.2 0.125 2.5108402 8e+06 8162.86773
## 2251 0.10144512 1.09 1.09 0.2 0.125 2.5426339 8e+06 8248.76004
## 2252 0.10722549 1.09 1.09 0.2 0.125 2.5505669 8e+06 8485.23751
## 2253 0.11081830 1.09 1.09 0.2 0.125 2.9833338 8e+06 8623.70224
## 2254 0.10840075 1.09 1.09 0.2 0.125 2.7561036 8e+06 8648.08216
## 2255 0.10831725 1.09 1.09 0.2 0.125 2.6320480 8e+06 8772.30470
## 2256 0.11312763 1.09 1.09 0.2 0.125 2.8713881 8e+06 8765.26963
## 2257 0.11123977 1.09 1.09 0.2 0.125 2.7709284 8e+06 8760.73071
## 2258 0.11439609 1.09 1.09 0.2 0.125 2.4376838 8e+06 8946.56380
## 2259 0.11043301 1.09 1.09 0.2 0.125 2.7048414 8e+06 8968.74455
## 2260 0.10582545 1.09 1.09 0.2 0.125 2.6680670 8e+06 9150.73332
## 2261 0.11014586 1.09 1.09 0.2 0.125 2.5020540 8e+06 9213.77981
## 2262 0.10992440 1.09 1.09 0.2 0.125 2.7417653 8e+06 9309.92103
## 2263 0.11016713 1.09 1.09 0.2 0.125 2.8117572 8e+06 9380.18955
## 2264 0.11324963 1.09 1.09 0.2 0.125 2.8193982 8e+06 9391.75384
## 2265 0.10914931 1.09 1.09 0.2 0.125 2.9141755 8e+06 9402.84034
## 2266 0.11251220 1.09 1.09 0.2 0.125 3.1122976 8e+06 9439.26102
## 2267 0.11058813 1.09 1.09 0.2 0.125 2.9698374 8e+06 9476.40706
## 2268 0.11153795 1.09 1.09 0.2 0.125 2.7269011 8e+06 9483.84887
## 2269 0.11439116 1.09 1.09 0.2 0.125 3.1350752 8e+06 9497.89898
## 2270 0.10586608 1.09 1.09 0.2 0.125 3.2117409 8e+06 9682.31692
## 2271 0.10286890 1.09 1.09 0.2 0.125 3.3734979 8e+06 9717.70058
## 2272 0.10461836 1.09 1.09 0.2 0.125 3.4102185 8e+06 9736.55159
## 2273 0.10533306 1.09 1.09 0.2 0.125 3.8389658 8e+06 9863.02579
## 2274 0.10415012 1.09 1.09 0.2 0.125 3.9594767 8e+06 9915.91466
## 2275 0.10468626 1.09 1.09 0.2 0.125 4.5435891 8e+06 9904.74848
## 2276 0.10567416 1.09 1.09 0.2 0.125 5.0672007 8e+06 9981.54311
## 2277 0.10468342 1.09 1.09 0.2 0.125 5.4372346 8e+06 10068.26305
## 2278 0.10508682 1.09 1.09 0.2 0.125 4.6673934 8e+06 10124.01731
## 2279 0.10910990 1.09 1.09 0.2 0.125 4.0594243 8e+06 10191.22740
## 2280 0.10755087 1.09 1.09 0.2 0.125 3.9429630 8e+06 10305.25318
## 2281 0.10792284 1.09 1.09 0.2 0.125 3.4479727 8e+06 10164.00699
## 2282 0.11278746 1.09 1.09 0.2 0.125 3.3595353 8e+06 10169.92190
## 2283 0.11457739 1.09 1.09 0.2 0.125 3.6459858 8e+06 10225.80212
## 2284 0.11459698 1.09 1.09 0.2 0.125 3.9319854 8e+06 10295.07608
## 2285 0.11802449 1.09 1.09 0.2 0.125 3.5224632 8e+06 10318.23912
## 2286 0.11792999 1.09 1.09 0.2 0.125 3.7727210 8e+06 10340.58057
## 2287 0.11614037 1.09 1.09 0.2 0.125 4.0294896 8e+06 10474.32541
## 2288 0.11614037 1.09 1.09 0.2 0.125 4.0294896 8e+06 10474.32541
## 2289 0.10529498 1.09 1.09 0.2 0.125 0.7279660 8e+06 6296.91819
## 2290 0.10529498 1.09 1.09 0.2 0.125 0.7279660 8e+06 6296.91819
## 2291 0.08299903 1.09 1.09 0.2 0.125 0.8793736 8e+06 6260.60053
## 2292 0.09813130 1.09 1.09 0.2 0.125 0.7314398 8e+06 6209.20666
## 2293 0.06855072 1.09 1.09 0.2 0.125 0.6462243 8e+06 6126.85130
## 2294 0.09287007 1.09 1.09 0.2 0.125 1.0666677 8e+06 6222.11142
## 2295 0.09470181 1.09 1.09 0.2 0.125 1.1646581 8e+06 6311.90935
## 2296 0.05334964 1.09 1.09 0.2 0.125 1.3781933 8e+06 6477.64317
## 2297 0.05812614 1.09 1.09 0.2 0.125 2.0546950 8e+06 6392.49225
## 2298 0.05357120 1.09 1.09 0.2 0.125 1.5352429 8e+06 6250.51129
## 2299 0.04750548 1.09 1.09 0.2 0.125 0.7804062 8e+06 6370.21668
## 2300 0.04775204 1.09 1.09 0.2 0.125 0.9755304 8e+06 6512.26455
## 2301 0.03851047 1.09 1.09 0.2 0.125 0.9932969 8e+06 6592.40053
## 2302 0.03634168 1.09 1.09 0.2 0.125 1.2076480 8e+06 6739.03554
## 2303 0.03299270 1.09 1.09 0.2 0.125 1.1129278 8e+06 6717.44058
## 2304 0.02843070 1.09 1.09 0.2 0.125 1.0347194 8e+06 6647.61043
## 2305 0.02854108 1.09 1.09 0.2 0.125 1.0897985 8e+06 6701.54492
## 2306 0.03117058 1.09 1.09 0.2 0.125 1.0896128 8e+06 6674.76106
## 2307 0.03131366 1.09 1.09 0.2 0.125 1.1302749 8e+06 6607.53501
## 2308 0.02951787 1.09 1.09 0.2 0.125 1.2725727 8e+06 6627.92702
## 2309 0.03003710 1.09 1.09 0.2 0.125 1.3228017 8e+06 6547.93562
## 2310 0.02967846 1.09 1.09 0.2 0.125 1.5352562 8e+06 6627.29136
## 2311 0.02985463 1.09 1.09 0.2 0.125 1.6087192 8e+06 6614.16776
## 2312 0.03109128 1.09 1.09 0.2 0.125 1.5696407 8e+06 6619.10640
## 2313 0.03337168 1.09 1.09 0.2 0.125 2.2128145 8e+06 6703.01911
## 2314 0.03525327 1.09 1.09 0.2 0.125 2.2734354 8e+06 6721.55874
## 2315 0.03669131 1.09 1.09 0.2 0.125 2.3833719 8e+06 6760.06139
## 2316 0.03606981 1.09 1.09 0.2 0.125 2.2548262 8e+06 6774.66516
## 2317 0.03887458 1.09 1.09 0.2 0.125 2.5316041 8e+06 6819.70721
## 2318 0.04118474 1.09 1.09 0.2 0.125 2.5489160 8e+06 6767.93043
## 2319 0.04446986 1.09 1.09 0.2 0.125 2.6133605 8e+06 6737.00084
## 2320 0.04793904 1.09 1.09 0.2 0.125 2.8712332 8e+06 6676.86779
## 2321 0.04828930 1.09 1.09 0.2 0.125 2.9531290 8e+06 6645.10184
## 2322 0.04606550 1.09 1.09 0.2 0.125 2.7009243 8e+06 6632.90290
## 2323 0.04308987 1.09 1.09 0.2 0.125 2.8083555 8e+06 6792.72158
## 2324 0.04218803 1.09 1.09 0.2 0.125 2.8562274 8e+06 6922.90563
## 2325 0.04247713 1.09 1.09 0.2 0.125 2.8877352 8e+06 7123.22537
## 2326 0.04079182 1.09 1.09 0.2 0.125 2.7959132 8e+06 7159.10170
## 2327 0.04505150 1.09 1.09 0.2 0.125 2.8695988 8e+06 7164.18316
## 2328 0.04520889 1.09 1.09 0.2 0.125 2.9726779 8e+06 7212.27908
## 2329 0.04530564 1.09 1.09 0.2 0.125 3.2355624 8e+06 7238.61887
## 2330 0.04579732 1.09 1.09 0.2 0.125 3.0837708 8e+06 7299.21682
## 2331 0.04744199 1.09 1.09 0.2 0.125 3.4204775 8e+06 7312.04466
## 2332 0.04738410 1.09 1.09 0.2 0.125 3.0390612 8e+06 7318.80102
## 2333 0.04650868 1.09 1.09 0.2 0.125 2.9429157 8e+06 7279.61597
## 2334 0.04632649 1.09 1.09 0.2 0.125 3.3486516 8e+06 7336.89200
## 2335 0.04568843 1.09 1.09 0.2 0.125 3.4250559 8e+06 7353.97798
## 2336 0.04587813 1.09 1.09 0.2 0.125 3.2774512 8e+06 7368.68748
## 2337 0.04717667 1.09 1.09 0.2 0.125 3.5832467 8e+06 7299.46668
## 2338 0.04879938 1.09 1.09 0.2 0.125 3.8177701 8e+06 7246.59218
## 2339 0.05094023 1.09 1.09 0.2 0.125 3.6789552 8e+06 7263.16085
## 2340 0.04944182 1.09 1.09 0.2 0.125 3.8193813 8e+06 7209.29805
## 2341 0.04944182 1.09 1.09 0.2 0.125 3.8193813 8e+06 7209.29805
## 2342 0.04990814 1.09 1.09 0.2 0.125 3.8832062 8e+06 7238.95635
## 2343 0.05145981 1.09 1.09 0.2 0.125 3.5436888 8e+06 7205.63408
## 2344 0.05031241 1.09 1.09 0.2 0.125 3.6666438 8e+06 7129.89622
## 2345 0.05264866 1.09 1.09 0.2 0.125 3.8558258 8e+06 7144.48756
## 2346 0.05578142 1.09 1.09 0.2 0.125 2.5747997 8e+06 7283.37329
## 2347 0.05522014 1.09 1.09 0.2 0.125 2.8676671 8e+06 7314.92243
## 2348 0.05057756 1.09 1.09 0.2 0.125 2.5612454 8e+06 7224.31788
## 2349 0.04870220 1.09 1.09 0.2 0.125 2.3070380 8e+06 7461.87652
## 2350 0.04954658 1.09 1.09 0.2 0.125 2.2704989 8e+06 7312.10564
## 2351 0.05009068 1.09 1.09 0.2 0.125 2.1993076 8e+06 7231.91142
## 2352 0.04351990 1.09 1.09 0.2 0.125 2.2599031 8e+06 7097.41251
## 2353 0.04470025 1.09 1.09 0.2 0.125 2.1082094 8e+06 7023.37675
## 2354 0.03950871 1.09 1.09 0.2 0.125 2.2226340 8e+06 7138.79762
## 2355 0.03830176 1.09 1.09 0.2 0.125 2.1905039 8e+06 7023.40227
## 2356 0.04194236 1.09 1.09 0.2 0.125 2.5446490 8e+06 7127.77289
## 2357 0.03873654 1.09 1.09 0.2 0.125 2.5664205 8e+06 7192.33700
## 2358 0.03924161 1.09 1.09 0.2 0.125 2.7447783 8e+06 7398.33121
## 2359 0.03964764 1.09 1.09 0.2 0.125 2.7819538 8e+06 7389.74927
## 2360 0.03899501 1.09 1.09 0.2 0.125 2.7584796 8e+06 7450.56546
## 2361 0.04468993 1.09 1.09 0.2 0.125 2.5771807 8e+06 7390.19247
## 2362 0.04358262 1.09 1.09 0.2 0.125 2.4058361 8e+06 7358.94989
## 2363 0.04507400 1.09 1.09 0.2 0.125 2.4395128 8e+06 7337.92659
## 2364 0.04273121 1.09 1.09 0.2 0.125 2.4098525 8e+06 7392.26682
## 2365 0.04128697 1.09 1.09 0.2 0.125 2.8125420 8e+06 7473.69381
## 2366 0.04628275 1.09 1.09 0.2 0.125 2.3127316 8e+06 7354.42236
## 2367 0.04558982 1.09 1.09 0.2 0.125 2.2618062 8e+06 7399.36277
## 2368 0.04541117 1.09 1.09 0.2 0.125 2.1670065 8e+06 7487.12681
## 2369 0.04590408 1.09 1.09 0.2 0.125 2.3775024 8e+06 7462.36560
## 2370 0.04654023 1.09 1.09 0.2 0.125 2.0030737 8e+06 7484.95918
## 2371 0.04106700 1.09 1.09 0.2 0.125 2.1653550 8e+06 7369.93204
## 2372 0.04310187 1.09 1.09 0.2 0.125 2.1522143 8e+06 7357.57266
## 2373 0.04617037 1.09 1.09 0.2 0.125 2.2151264 8e+06 7338.93619
## 2374 0.04534707 1.09 1.09 0.2 0.125 2.1253850 8e+06 7338.22388
## 2375 0.04519870 1.09 1.09 0.2 0.125 2.0631590 8e+06 7330.32103
## 2376 0.04571774 1.09 1.09 0.2 0.125 2.2713365 8e+06 7302.69937
## 2377 0.04526012 1.09 1.09 0.2 0.125 2.2495641 8e+06 7340.38570
## 2378 0.04350193 1.09 1.09 0.2 0.125 2.1297229 8e+06 7322.36576
## 2379 0.04561402 1.09 1.09 0.2 0.125 2.3092390 8e+06 7282.45981
## 2380 0.04347755 1.09 1.09 0.2 0.125 2.3128211 8e+06 7336.01784
## 2381 0.04413016 1.09 1.09 0.2 0.125 2.3043428 8e+06 7358.15181
## 2382 0.04396666 1.09 1.09 0.2 0.125 2.9319243 8e+06 7423.71148
## 2383 0.04583376 1.09 1.09 0.2 0.125 2.9107837 8e+06 7455.58490
## 2384 0.04578376 1.09 1.09 0.2 0.125 2.8144654 8e+06 7413.92487
## 2385 0.04425690 1.09 1.09 0.2 0.125 2.7833670 8e+06 7447.97622
## 2386 0.04643253 1.09 1.09 0.2 0.125 2.9341876 8e+06 7399.40186
## 2387 0.05143516 1.09 1.09 0.2 0.125 3.0483598 8e+06 7383.34935
## 2388 0.04861955 1.09 1.09 0.2 0.125 2.8649188 8e+06 7387.35191
## 2389 0.04690599 1.09 1.09 0.2 0.125 2.7641254 8e+06 7389.38754
## 2390 0.04804795 1.09 1.09 0.2 0.125 2.9838632 8e+06 7378.37808
## 2391 0.04718953 1.09 1.09 0.2 0.125 3.1430650 8e+06 7369.40679
## 2392 0.04718953 1.09 1.09 0.2 0.125 3.1430650 8e+06 7369.40679
## 2393 0.12510609 1.09 1.09 0.2 0.125 0.9724024 8e+06 18023.41296
## 2394 0.12510609 1.09 1.09 0.2 0.125 0.9724024 8e+06 18023.41296
## 2395 0.12366472 1.09 1.09 0.2 0.125 0.8689027 8e+06 18377.24791
## 2396 0.09777330 1.09 1.09 0.2 0.125 1.3306923 8e+06 18373.35716
## 2397 0.07960181 1.09 1.09 0.2 0.125 1.6139618 8e+06 18630.01619
## 2398 0.07447109 1.09 1.09 0.2 0.125 1.5628805 8e+06 18982.59143
## 2399 0.07376710 1.09 1.09 0.2 0.125 1.2024572 8e+06 18981.18073
## 2400 0.08540803 1.09 1.09 0.2 0.125 1.1253016 8e+06 19274.54378
## 2401 0.10344345 1.09 1.09 0.2 0.125 0.9651548 8e+06 19442.61109
## 2402 0.15263061 1.09 1.09 0.2 0.125 1.0759593 8e+06 19713.06238
## 2403 0.15318748 1.09 1.09 0.2 0.125 1.0357363 8e+06 19794.23673
## 2404 0.14921707 1.09 1.09 0.2 0.125 0.9950542 8e+06 19528.36354
## 2405 0.14345323 1.09 1.09 0.2 0.125 1.1482695 8e+06 19656.19488
## 2406 0.13334243 1.09 1.09 0.2 0.125 1.3626923 8e+06 19765.85638
## 2407 0.13296172 1.09 1.09 0.2 0.125 1.5018372 8e+06 20098.39810
## 2408 0.12655904 1.09 1.09 0.2 0.125 1.6475226 8e+06 20387.92069
## 2409 0.12126179 1.09 1.09 0.2 0.125 1.8800879 8e+06 20344.51471
## 2410 0.11941290 1.09 1.09 0.2 0.125 2.1247561 8e+06 20277.09697
## 2411 0.11519485 1.09 1.09 0.2 0.125 1.8987029 8e+06 20602.79146
## 2412 0.12226563 1.09 1.09 0.2 0.125 1.6690010 8e+06 20947.63139
## 2413 0.12484515 1.09 1.09 0.2 0.125 1.7697001 8e+06 21190.06531
## 2414 0.12899402 1.09 1.09 0.2 0.125 1.8376651 8e+06 21169.19639
## 2415 0.13080090 1.09 1.09 0.2 0.125 2.0774315 8e+06 21311.97097
## 2416 0.12775472 1.09 1.09 0.2 0.125 1.9864867 8e+06 21600.96803
## 2417 0.12014763 1.09 1.09 0.2 0.125 1.6411466 8e+06 21936.67338
## 2418 0.11453852 1.09 1.09 0.2 0.125 1.6263171 8e+06 22173.54066
## 2419 0.11265036 1.09 1.09 0.2 0.125 1.8125178 8e+06 22298.91343
## 2420 0.11576027 1.09 1.09 0.2 0.125 1.8770575 8e+06 22528.79778
## 2421 0.11747771 1.09 1.09 0.2 0.125 1.8913252 8e+06 22913.70101
## 2422 0.11771304 1.09 1.09 0.2 0.125 2.0698895 8e+06 23028.39406
## 2423 0.11959140 1.09 1.09 0.2 0.125 2.1131763 8e+06 23316.88593
## 2424 0.12314800 1.09 1.09 0.2 0.125 2.2501152 8e+06 23680.93702
## 2425 0.12199160 1.09 1.09 0.2 0.125 2.1639418 8e+06 24002.20998
## 2426 0.12578284 1.09 1.09 0.2 0.125 2.2609959 8e+06 24486.77601
## 2427 0.12633745 1.09 1.09 0.2 0.125 2.3060466 8e+06 24992.28887
## 2428 0.13211333 1.09 1.09 0.2 0.125 2.4940065 8e+06 25138.47408
## 2429 0.12921929 1.09 1.09 0.2 0.125 2.4898093 8e+06 25474.85670
## 2430 0.12416904 1.09 1.09 0.2 0.125 2.6325848 8e+06 26001.73893
## 2431 0.12146632 1.09 1.09 0.2 0.125 2.7521478 8e+06 26171.09532
## 2432 0.12254148 1.09 1.09 0.2 0.125 2.7259255 8e+06 26250.51779
## 2433 0.11924022 1.09 1.09 0.2 0.125 3.2203889 8e+06 26433.39192
## 2434 0.12178088 1.09 1.09 0.2 0.125 3.2867092 8e+06 26575.83086
## 2435 0.12075529 1.09 1.09 0.2 0.125 3.6334603 8e+06 26994.68009
## 2436 0.11870926 1.09 1.09 0.2 0.125 3.6416357 8e+06 26964.90335
## 2437 0.12092600 1.09 1.09 0.2 0.125 3.4979291 8e+06 27134.81945
## 2438 0.12329201 1.09 1.09 0.2 0.125 3.6379792 8e+06 27241.40197
## 2439 0.12177514 1.09 1.09 0.2 0.125 3.9723138 8e+06 27025.34343
## 2440 0.12244320 1.09 1.09 0.2 0.125 4.1100506 8e+06 27037.75282
## 2441 0.12420977 1.09 1.09 0.2 0.125 4.1107300 8e+06 27144.37520
## 2442 0.12671039 1.09 1.09 0.2 0.125 3.8452028 8e+06 27542.41335
## 2443 0.13257061 1.09 1.09 0.2 0.125 3.6485914 8e+06 27853.00403
## 2444 0.13098893 1.09 1.09 0.2 0.125 3.3927260 8e+06 28110.40312
## 2445 0.13098893 1.09 1.09 0.2 0.125 3.3927260 8e+06 28110.40312
## 2446 0.13214527 1.09 1.09 0.2 0.125 3.3544197 8e+06 28073.51631
## 2447 0.13642271 1.09 1.09 0.2 0.125 3.2708704 8e+06 28139.70978
## 2448 0.12903272 1.09 1.09 0.2 0.125 3.1913426 8e+06 28309.27240
## 2449 0.12599684 1.09 1.09 0.2 0.125 3.0830221 8e+06 28615.25546
## 2450 0.13042318 1.09 1.09 0.2 0.125 3.0660680 8e+06 28881.15049
## 2451 0.13273369 1.09 1.09 0.2 0.125 3.0100480 8e+06 29101.49971
## 2452 0.14112899 1.09 1.09 0.2 0.125 2.8602306 8e+06 28943.21533
## 2453 0.13985976 1.09 1.09 0.2 0.125 2.6889744 8e+06 28994.52675
## 2454 0.14067160 1.09 1.09 0.2 0.125 2.8580121 8e+06 29413.76930
## 2455 0.13559739 1.09 1.09 0.2 0.125 2.8105625 8e+06 29510.26525
## 2456 0.13411719 1.09 1.09 0.2 0.125 3.0931563 8e+06 29694.51263
## 2457 0.13526678 1.09 1.09 0.2 0.125 3.1923071 8e+06 29955.99850
## 2458 0.14648843 1.09 1.09 0.2 0.125 3.1631400 8e+06 30014.92651
## 2459 0.13682603 1.09 1.09 0.2 0.125 3.3592310 8e+06 29871.88553
## 2460 0.13657299 1.09 1.09 0.2 0.125 3.4067570 8e+06 29522.56932
## 2461 0.13539697 1.09 1.09 0.2 0.125 3.4723156 8e+06 29770.38570
## 2462 0.13029750 1.09 1.09 0.2 0.125 3.5394482 8e+06 29455.04206
## 2463 0.13352397 1.09 1.09 0.2 0.125 3.4330943 8e+06 29126.11836
## 2464 0.13286417 1.09 1.09 0.2 0.125 3.3592279 8e+06 29448.09365
## 2465 0.13962663 1.09 1.09 0.2 0.125 3.7316676 8e+06 30470.47820
## 2466 0.13944951 1.09 1.09 0.2 0.125 3.8634777 8e+06 30789.53694
## 2467 0.13808612 1.09 1.09 0.2 0.125 4.0010480 8e+06 31400.34299
## 2468 0.13981077 1.09 1.09 0.2 0.125 4.2310206 8e+06 32400.22178
## 2469 0.14172860 1.09 1.09 0.2 0.125 4.2770372 8e+06 32765.51675
## 2470 0.13495322 1.09 1.09 0.2 0.125 4.2725493 8e+06 33108.33782
## 2471 0.13562450 1.09 1.09 0.2 0.125 4.0691166 8e+06 33374.55071
## 2472 0.13767407 1.09 1.09 0.2 0.125 4.1197456 8e+06 33811.29245
## 2473 0.13736078 1.09 1.09 0.2 0.125 3.9633598 8e+06 33894.19791
## 2474 0.14148547 1.09 1.09 0.2 0.125 4.0314236 8e+06 34080.25004
## 2475 0.13904072 1.09 1.09 0.2 0.125 4.1475963 8e+06 34363.12129
## 2476 0.14242354 1.09 1.09 0.2 0.125 4.0467577 8e+06 34960.18509
## 2477 0.14561660 1.09 1.09 0.2 0.125 4.1624931 8e+06 35218.38829
## 2478 0.14999836 1.09 1.09 0.2 0.125 3.8964216 8e+06 35627.17253
## 2479 0.15283074 1.09 1.09 0.2 0.125 4.5461512 8e+06 36172.67501
## 2480 0.15102462 1.09 1.09 0.2 0.125 4.3780655 8e+06 36817.87015
## 2481 0.15360878 1.09 1.09 0.2 0.125 4.9485333 8e+06 36864.04796
## 2482 0.15031141 1.09 1.09 0.2 0.125 5.2280345 8e+06 37301.45517
## 2483 0.14730458 1.09 1.09 0.2 0.125 5.3161520 8e+06 37395.62542
## 2484 0.14833511 1.09 1.09 0.2 0.125 5.7938487 8e+06 37495.66112
## 2485 0.14932124 1.09 1.09 0.2 0.125 5.9951733 8e+06 37430.84751
## 2486 0.15376397 1.09 1.09 0.2 0.125 6.6634218 8e+06 37694.56352
## 2487 0.15167396 1.09 1.09 0.2 0.125 6.8722164 8e+06 37769.12664
## 2488 0.15384097 1.09 1.09 0.2 0.125 7.1035275 8e+06 37838.11668
## 2489 0.14963874 1.09 1.09 0.2 0.125 7.3275776 8e+06 38214.23860
## 2490 0.15168333 1.09 1.09 0.2 0.125 6.9080455 8e+06 38321.26316
## 2491 0.15736432 1.09 1.09 0.2 0.125 7.9022333 8e+06 38578.82092
## 2492 0.15419107 1.09 1.09 0.2 0.125 8.0035438 8e+06 38776.36926
## 2493 0.15946964 1.09 1.09 0.2 0.125 9.1541907 8e+06 38929.29448
## 2494 0.16021107 1.09 1.09 0.2 0.125 8.5234489 8e+06 38766.38547
## 2495 0.15987890 1.09 1.09 0.2 0.125 9.9733388 8e+06 38820.69806
## 2496 0.15987890 1.09 1.09 0.2 0.125 9.9733388 8e+06 38820.69806
## 2497 0.12349207 1.09 1.09 0.2 0.125 0.8363647 8e+06 652.31424
## 2498 0.12349207 1.09 1.09 0.2 0.125 0.8363647 8e+06 652.31424
## 2499 0.11111936 1.09 1.09 0.2 0.125 0.7081348 8e+06 642.21448
## 2500 0.11372156 1.09 1.09 0.2 0.125 0.6393679 8e+06 630.90056
## 2501 0.09845654 1.09 1.09 0.2 0.125 0.9744201 8e+06 646.57973
## 2502 0.05708606 1.09 1.09 0.2 0.125 0.9248559 8e+06 654.80608
## 2503 0.04610469 1.09 1.09 0.2 0.125 1.0355762 8e+06 656.79051
## 2504 0.03871285 1.09 1.09 0.2 0.125 1.3337887 8e+06 646.33383
## 2505 0.05221598 1.09 1.09 0.2 0.125 1.4141499 8e+06 640.56383
## 2506 0.04605002 1.09 1.09 0.2 0.125 1.6763111 8e+06 643.83333
## 2507 0.04727678 1.09 1.09 0.2 0.125 1.6235774 8e+06 639.46588
## 2508 0.05075028 1.09 1.09 0.2 0.125 1.9158189 8e+06 632.59655
## 2509 0.05765103 1.09 1.09 0.2 0.125 1.9086575 8e+06 632.86340
## 2510 0.07189440 1.09 1.09 0.2 0.125 1.7110359 8e+06 632.15659
## 2511 0.07619710 1.09 1.09 0.2 0.125 1.6526961 8e+06 621.99314
## 2512 0.09033671 1.09 1.09 0.2 0.125 1.6902855 8e+06 616.53277
## 2513 0.09441086 1.09 1.09 0.2 0.125 1.8826071 8e+06 611.98948
## 2514 0.10114389 1.09 1.09 0.2 0.125 1.8660301 8e+06 608.94618
## 2515 0.10154856 1.09 1.09 0.2 0.125 1.4638868 8e+06 615.17288
## 2516 0.11190436 1.09 1.09 0.2 0.125 1.3297651 8e+06 615.18849
## 2517 0.12167370 1.09 1.09 0.2 0.125 1.3618543 8e+06 619.00761
## 2518 0.13514114 1.09 1.09 0.2 0.125 1.3126047 8e+06 621.77074
## 2519 0.14671536 1.09 1.09 0.2 0.125 1.3737079 8e+06 626.95897
## 2520 0.16104464 1.09 1.09 0.2 0.125 1.7968965 8e+06 610.73662
## 2521 0.20102562 1.09 1.09 0.2 0.125 1.6000736 8e+06 617.49006
## 2522 0.21491874 1.09 1.09 0.2 0.125 1.6662556 8e+06 613.53601
## 2523 0.22397859 1.09 1.09 0.2 0.125 1.7848185 8e+06 621.37003
## 2524 0.24807879 1.09 1.09 0.2 0.125 1.8454824 8e+06 602.66313
## 2525 0.27569026 1.09 1.09 0.2 0.125 1.5662106 8e+06 597.94629
## 2526 0.34565025 1.09 1.09 0.2 0.125 1.3173673 8e+06 590.61435
## 2527 0.38853068 1.09 1.09 0.2 0.125 1.1964277 8e+06 584.87396
## 2528 0.40509615 1.09 1.09 0.2 0.125 1.2259373 8e+06 584.24033
## 2529 0.42596137 1.09 1.09 0.2 0.125 1.1158354 8e+06 597.60484
## 2530 0.44894994 1.09 1.09 0.2 0.125 1.0222822 8e+06 602.88022
## 2531 0.49068631 1.09 1.09 0.2 0.125 0.9500427 8e+06 605.26456
## 2532 0.48758577 1.09 1.09 0.2 0.125 0.9665940 8e+06 604.92012
## 2533 0.49981211 1.09 1.09 0.2 0.125 0.9898768 8e+06 604.20748
## 2534 0.50854034 1.09 1.09 0.2 0.125 1.1007537 8e+06 608.87832
## 2535 0.51111278 1.09 1.09 0.2 0.125 1.1014541 8e+06 611.20248
## 2536 0.50535896 1.09 1.09 0.2 0.125 0.9940694 8e+06 609.96539
## 2537 0.49009650 1.09 1.09 0.2 0.125 1.0184634 8e+06 611.33209
## 2538 0.49560089 1.09 1.09 0.2 0.125 1.0064009 8e+06 612.10618
## 2539 0.52243223 1.09 1.09 0.2 0.125 0.9959442 8e+06 605.55725
## 2540 0.54308707 1.09 1.09 0.2 0.125 0.8500247 8e+06 598.60470
## 2541 0.52777810 1.09 1.09 0.2 0.125 1.0406881 8e+06 602.88669
## 2542 0.52797003 1.09 1.09 0.2 0.125 0.9686758 8e+06 604.27829
## 2543 0.52436932 1.09 1.09 0.2 0.125 0.8612250 8e+06 606.19263
## 2544 0.51732111 1.09 1.09 0.2 0.125 0.8458358 8e+06 601.02192
## 2545 0.52318752 1.09 1.09 0.2 0.125 0.8392438 8e+06 600.96948
## 2546 0.51933985 1.09 1.09 0.2 0.125 0.9164021 8e+06 606.18361
## 2547 0.51683941 1.09 1.09 0.2 0.125 0.9183405 8e+06 613.59481
## 2548 0.52698618 1.09 1.09 0.2 0.125 0.9170235 8e+06 620.27899
## 2549 0.52698618 1.09 1.09 0.2 0.125 0.9170235 8e+06 620.27899
## 2550 0.54844568 1.09 1.09 0.2 0.125 0.9470390 8e+06 619.87798
## 2551 0.54931167 1.09 1.09 0.2 0.125 0.8696518 8e+06 626.91792
## 2552 0.56326751 1.09 1.09 0.2 0.125 0.9640045 8e+06 627.38699
## 2553 0.56793945 1.09 1.09 0.2 0.125 0.8789863 8e+06 628.30041
## 2554 0.55984724 1.09 1.09 0.2 0.125 0.8699009 8e+06 624.98688
## 2555 0.57209971 1.09 1.09 0.2 0.125 0.8077601 8e+06 632.15720
## 2556 0.55135130 1.09 1.09 0.2 0.125 0.8291747 8e+06 641.38982
## 2557 0.56343967 1.09 1.09 0.2 0.125 0.9431514 8e+06 639.84454
## 2558 0.57403120 1.09 1.09 0.2 0.125 1.0355644 8e+06 654.56031
## 2559 0.55780923 1.09 1.09 0.2 0.125 0.9459836 8e+06 641.62137
## 2560 0.52869259 1.09 1.09 0.2 0.125 1.3664704 8e+06 631.59043
## 2561 0.52420926 1.09 1.09 0.2 0.125 1.6261133 8e+06 623.48562
## 2562 0.53826255 1.09 1.09 0.2 0.125 1.6971967 8e+06 621.21661
## 2563 0.52990868 1.09 1.09 0.2 0.125 2.0281410 8e+06 619.93472
## 2564 0.51872912 1.09 1.09 0.2 0.125 2.7290441 8e+06 618.36837
## 2565 0.53480262 1.09 1.09 0.2 0.125 2.7132343 8e+06 610.59935
## 2566 0.52870468 1.09 1.09 0.2 0.125 2.1014980 8e+06 615.91918
## 2567 0.54319970 1.09 1.09 0.2 0.125 1.9244477 8e+06 619.03982
## 2568 0.54972742 1.09 1.09 0.2 0.125 1.9716058 8e+06 622.05022
## 2569 0.53688592 1.09 1.09 0.2 0.125 2.1690938 8e+06 614.70976
## 2570 0.54303152 1.09 1.09 0.2 0.125 2.6428845 8e+06 608.65695
## 2571 0.54683382 1.09 1.09 0.2 0.125 3.1397068 8e+06 606.71382
## 2572 0.52534335 1.09 1.09 0.2 0.125 3.2983829 8e+06 609.21805
## 2573 0.51021906 1.09 1.09 0.2 0.125 2.9969971 8e+06 613.38895
## 2574 0.53475452 1.09 1.09 0.2 0.125 3.2739367 8e+06 603.12158
## 2575 0.48531762 1.09 1.09 0.2 0.125 2.8828626 8e+06 607.89685
## 2576 0.48764046 1.09 1.09 0.2 0.125 2.6421062 8e+06 606.98607
## 2577 0.49506557 1.09 1.09 0.2 0.125 2.8568020 8e+06 602.53488
## 2578 0.50086262 1.09 1.09 0.2 0.125 2.8625906 8e+06 620.22457
## 2579 0.51742470 1.09 1.09 0.2 0.125 2.5042286 8e+06 623.02692
## 2580 0.51614248 1.09 1.09 0.2 0.125 3.3941460 8e+06 636.70049
## 2581 0.50446261 1.09 1.09 0.2 0.125 4.1637688 8e+06 645.87044
## 2582 0.48786135 1.09 1.09 0.2 0.125 4.0334061 8e+06 644.07643
## 2583 0.49236991 1.09 1.09 0.2 0.125 4.0533623 8e+06 645.17408
## 2584 0.49385726 1.09 1.09 0.2 0.125 4.5375469 8e+06 647.67821
## 2585 0.48763482 1.09 1.09 0.2 0.125 4.8761540 8e+06 649.02422
## 2586 0.49320810 1.09 1.09 0.2 0.125 4.5810554 8e+06 645.24155
## 2587 0.50058140 1.09 1.09 0.2 0.125 4.1198118 8e+06 647.48655
## 2588 0.48233887 1.09 1.09 0.2 0.125 3.9374543 8e+06 637.35434
## 2589 0.50034655 1.09 1.09 0.2 0.125 4.1846426 8e+06 642.77454
## 2590 0.50519246 1.09 1.09 0.2 0.125 3.9609262 8e+06 665.68438
## 2591 0.49906301 1.09 1.09 0.2 0.125 3.8959375 8e+06 656.28906
## 2592 0.51373907 1.09 1.09 0.2 0.125 4.8208961 8e+06 654.25093
## 2593 0.52314242 1.09 1.09 0.2 0.125 4.8637459 8e+06 655.02294
## 2594 0.52382398 1.09 1.09 0.2 0.125 4.8211504 8e+06 662.07641
## 2595 0.50867588 1.09 1.09 0.2 0.125 4.6734326 8e+06 654.23914
## 2596 0.50066461 1.09 1.09 0.2 0.125 4.0318067 8e+06 657.18685
## 2597 0.49964665 1.09 1.09 0.2 0.125 4.1360077 8e+06 651.96843
## 2598 0.48578563 1.09 1.09 0.2 0.125 4.8242622 8e+06 649.45850
## 2599 0.48715341 1.09 1.09 0.2 0.125 4.7995482 8e+06 664.59299
## 2600 0.48715341 1.09 1.09 0.2 0.125 4.7995482 8e+06 664.59299
## 2601 0.12360759 1.09 1.09 0.2 0.125 0.9277654 8e+06 7380.14178
## 2602 0.12360759 1.09 1.09 0.2 0.125 0.9277654 8e+06 7380.14178
## 2603 0.16046520 1.09 1.09 0.2 0.125 0.9676959 8e+06 7332.78540
## 2604 0.13774995 1.09 1.09 0.2 0.125 0.9689112 8e+06 7389.17355
## 2605 0.14239452 1.09 1.09 0.2 0.125 1.2775271 8e+06 7339.28154
## 2606 0.13187478 1.09 1.09 0.2 0.125 1.3979794 8e+06 7306.82295
## 2607 0.12875255 1.09 1.09 0.2 0.125 1.2294081 8e+06 7308.90896
## 2608 0.12880187 1.09 1.09 0.2 0.125 1.2402693 8e+06 7241.63638
## 2609 0.12682578 1.09 1.09 0.2 0.125 1.3011571 8e+06 7273.28079
## 2610 0.12676643 1.09 1.09 0.2 0.125 1.6920665 8e+06 7392.50456
## 2611 0.12923604 1.09 1.09 0.2 0.125 1.8125156 8e+06 7435.48896
## 2612 0.12858886 1.09 1.09 0.2 0.125 2.0615060 8e+06 7448.89087
## 2613 0.12759832 1.09 1.09 0.2 0.125 2.2043848 8e+06 7464.33719
## 2614 0.12471887 1.09 1.09 0.2 0.125 2.4168453 8e+06 7501.38773
## 2615 0.12537466 1.09 1.09 0.2 0.125 2.4463366 8e+06 7543.85009
## 2616 0.12377690 1.09 1.09 0.2 0.125 2.3327657 8e+06 7563.43242
## 2617 0.12124983 1.09 1.09 0.2 0.125 2.6381428 8e+06 7569.59054
## 2618 0.12709265 1.09 1.09 0.2 0.125 2.6873508 8e+06 7568.57447
## 2619 0.12759195 1.09 1.09 0.2 0.125 2.7269960 8e+06 7566.81464
## 2620 0.12310707 1.09 1.09 0.2 0.125 2.6504180 8e+06 7670.43029
## 2621 0.12250648 1.09 1.09 0.2 0.125 2.6794491 8e+06 7684.21592
## 2622 0.12665350 1.09 1.09 0.2 0.125 2.5976120 8e+06 7669.76789
## 2623 0.12883445 1.09 1.09 0.2 0.125 2.8540185 8e+06 7703.46402
## 2624 0.12751061 1.09 1.09 0.2 0.125 2.8383931 8e+06 7727.74229
## 2625 0.12284178 1.09 1.09 0.2 0.125 3.1424931 8e+06 7701.65401
## 2626 0.12866601 1.09 1.09 0.2 0.125 3.3227909 8e+06 7638.99473
## 2627 0.12895728 1.09 1.09 0.2 0.125 3.5569109 8e+06 7614.92429
## 2628 0.13234985 1.09 1.09 0.2 0.125 3.6282487 8e+06 7629.54731
## 2629 0.13532064 1.09 1.09 0.2 0.125 3.7189814 8e+06 7637.73359
## 2630 0.14007876 1.09 1.09 0.2 0.125 4.0767687 8e+06 7610.52366
## 2631 0.13753805 1.09 1.09 0.2 0.125 3.9831130 8e+06 7584.11538
## 2632 0.13656817 1.09 1.09 0.2 0.125 4.1524888 8e+06 7564.09744
## 2633 0.13843565 1.09 1.09 0.2 0.125 3.8866750 8e+06 7510.92346
## 2634 0.13654584 1.09 1.09 0.2 0.125 3.7227848 8e+06 7531.46399
## 2635 0.13607530 1.09 1.09 0.2 0.125 4.0363482 8e+06 7574.02914
## 2636 0.13593179 1.09 1.09 0.2 0.125 4.0067866 8e+06 7633.99551
## 2637 0.13751172 1.09 1.09 0.2 0.125 4.1540968 8e+06 7710.43607
## 2638 0.13705774 1.09 1.09 0.2 0.125 4.2956646 8e+06 7752.18518
## 2639 0.13927783 1.09 1.09 0.2 0.125 4.2888120 8e+06 7784.95337
## 2640 0.13741653 1.09 1.09 0.2 0.125 4.4787893 8e+06 7784.13798
## 2641 0.14105973 1.09 1.09 0.2 0.125 4.2887613 8e+06 7807.12793
## 2642 0.13874015 1.09 1.09 0.2 0.125 4.4593573 8e+06 7840.82094
## 2643 0.14052940 1.09 1.09 0.2 0.125 4.2915819 8e+06 7901.56041
## 2644 0.14027162 1.09 1.09 0.2 0.125 4.2320364 8e+06 7921.14565
## 2645 0.14230656 1.09 1.09 0.2 0.125 3.8751694 8e+06 7966.63286
## 2646 0.14013670 1.09 1.09 0.2 0.125 4.4051783 8e+06 7931.74291
## 2647 0.13727946 1.09 1.09 0.2 0.125 4.3770039 8e+06 7879.24872
## 2648 0.13872839 1.09 1.09 0.2 0.125 4.8154274 8e+06 7894.86215
## 2649 0.13809051 1.09 1.09 0.2 0.125 4.9671174 8e+06 7857.43170
## 2650 0.13999794 1.09 1.09 0.2 0.125 5.1916736 8e+06 7856.53380
## 2651 0.14416879 1.09 1.09 0.2 0.125 5.2589886 8e+06 7793.12608
## 2652 0.13977502 1.09 1.09 0.2 0.125 5.2552272 8e+06 7842.97462
## 2653 0.13977502 1.09 1.09 0.2 0.125 5.2552272 8e+06 7842.97462
## 2654 0.14178163 1.09 1.09 0.2 0.125 5.3483592 8e+06 7858.14851
## 2655 0.13922557 1.09 1.09 0.2 0.125 5.0878560 8e+06 7831.04344
## 2656 0.13909504 1.09 1.09 0.2 0.125 5.2217173 8e+06 7855.15011
## 2657 0.14453218 1.09 1.09 0.2 0.125 5.2826087 8e+06 7924.90049
## 2658 0.14079688 1.09 1.09 0.2 0.125 5.4219122 8e+06 7905.27496
## 2659 0.14503283 1.09 1.09 0.2 0.125 5.4474485 8e+06 8002.45210
## 2660 0.14727496 1.09 1.09 0.2 0.125 5.1727576 8e+06 8060.78369
## 2661 0.14752381 1.09 1.09 0.2 0.125 6.0274161 8e+06 8146.84694
## 2662 0.15114231 1.09 1.09 0.2 0.125 6.0508251 8e+06 8202.28369
## 2663 0.14677381 1.09 1.09 0.2 0.125 5.6089218 8e+06 8306.26089
## 2664 0.14701111 1.09 1.09 0.2 0.125 5.6555307 8e+06 8567.98038
## 2665 0.14406483 1.09 1.09 0.2 0.125 6.0050226 8e+06 8495.05131
## 2666 0.14448067 1.09 1.09 0.2 0.125 6.3796319 8e+06 8616.12131
## 2667 0.14980277 1.09 1.09 0.2 0.125 6.2305373 8e+06 8546.60082
## 2668 0.14775721 1.09 1.09 0.2 0.125 6.4132604 8e+06 8663.24294
## 2669 0.15201183 1.09 1.09 0.2 0.125 5.8694058 8e+06 8816.47917
## 2670 0.15706009 1.09 1.09 0.2 0.125 4.9769470 8e+06 8859.08312
## 2671 0.15558265 1.09 1.09 0.2 0.125 5.0582342 8e+06 8900.91285
## 2672 0.16122878 1.09 1.09 0.2 0.125 4.6412859 8e+06 8879.79844
## 2673 0.15890328 1.09 1.09 0.2 0.125 5.0758610 8e+06 8833.65333
## 2674 0.15887540 1.09 1.09 0.2 0.125 5.4774192 8e+06 8831.48800
## 2675 0.15681847 1.09 1.09 0.2 0.125 5.9844641 8e+06 9008.27576
## 2676 0.15614753 1.09 1.09 0.2 0.125 5.7987263 8e+06 9042.66577
## 2677 0.16263704 1.09 1.09 0.2 0.125 5.3668349 8e+06 9058.70435
## 2678 0.16085899 1.09 1.09 0.2 0.125 5.1107892 8e+06 9118.79879
## 2679 0.15793744 1.09 1.09 0.2 0.125 4.5629550 8e+06 9119.91452
## 2680 0.16087102 1.09 1.09 0.2 0.125 4.6101583 8e+06 9200.49841
## 2681 0.15943365 1.09 1.09 0.2 0.125 4.6703863 8e+06 9205.63475
## 2682 0.16349841 1.09 1.09 0.2 0.125 4.9835254 8e+06 9289.58874
## 2683 0.16254537 1.09 1.09 0.2 0.125 5.2107344 8e+06 9294.81731
## 2684 0.15833420 1.09 1.09 0.2 0.125 5.3882309 8e+06 9225.51731
## 2685 0.15945148 1.09 1.09 0.2 0.125 5.6478275 8e+06 9354.03495
## 2686 0.15437434 1.09 1.09 0.2 0.125 4.6471550 8e+06 9190.05918
## 2687 0.15372583 1.09 1.09 0.2 0.125 4.8533762 8e+06 9245.00128
## 2688 0.15177447 1.09 1.09 0.2 0.125 5.0861398 8e+06 9300.54426
## 2689 0.15055922 1.09 1.09 0.2 0.125 6.0072202 8e+06 9442.75863
## 2690 0.15166730 1.09 1.09 0.2 0.125 5.9599013 8e+06 9538.58328
## 2691 0.15325070 1.09 1.09 0.2 0.125 6.0397213 8e+06 9610.98029
## 2692 0.14993070 1.09 1.09 0.2 0.125 6.1010246 8e+06 9621.96286
## 2693 0.15565178 1.09 1.09 0.2 0.125 7.2552882 8e+06 9834.28536
## 2694 0.15122043 1.09 1.09 0.2 0.125 7.3568178 8e+06 9850.97760
## 2695 0.15566512 1.09 1.09 0.2 0.125 7.8226643 8e+06 10040.53782
## 2696 0.15860906 1.09 1.09 0.2 0.125 7.9171421 8e+06 10063.30132
## 2697 0.15550212 1.09 1.09 0.2 0.125 7.5756958 8e+06 10122.89155
## 2698 0.15716915 1.09 1.09 0.2 0.125 7.5513684 8e+06 10122.52573
## 2699 0.15717749 1.09 1.09 0.2 0.125 7.8956470 8e+06 10151.27438
## 2700 0.15491710 1.09 1.09 0.2 0.125 8.2590349 8e+06 10221.95761
## 2701 0.15421823 1.09 1.09 0.2 0.125 8.2193233 8e+06 10302.86373
## 2702 0.15328471 1.09 1.09 0.2 0.125 8.0828111 8e+06 10363.94992
## z_0 C_0 social_distancing_start_time quarantine_start_time
## 1 1.947799e+04 0 17 22
## 2 1.947799e+04 0 17 22
## 3 1.980686e+04 0 17 22
## 4 1.996652e+04 0 17 22
## 5 1.969788e+04 0 17 22
## 6 1.994300e+04 0 17 22
## 7 2.021141e+04 0 17 22
## 8 2.061283e+04 0 17 22
## 9 2.062642e+04 0 17 22
## 10 2.044292e+04 0 17 22
## 11 1.989951e+04 0 17 22
## 12 2.031535e+04 0 17 22
## 13 2.091796e+04 0 17 22
## 14 2.096177e+04 0 17 22
## 15 2.057366e+04 0 17 22
## 16 2.207619e+04 0 17 22
## 17 2.236312e+04 0 17 22
## 18 2.244076e+04 0 17 22
## 19 2.392436e+04 0 17 22
## 20 2.432754e+04 0 17 22
## 21 2.477726e+04 0 17 22
## 22 2.460328e+04 0 17 22
## 23 2.457610e+04 0 17 22
## 24 2.459246e+04 0 17 22
## 25 2.477336e+04 0 17 22
## 26 2.452296e+04 0 17 22
## 27 2.401270e+04 0 17 22
## 28 2.461580e+04 0 17 22
## 29 2.477623e+04 0 17 22
## 30 2.460909e+04 0 17 22
## 31 2.494957e+04 0 17 22
## 32 2.530570e+04 0 17 22
## 33 2.435207e+04 0 17 22
## 34 2.412616e+04 0 17 22
## 35 2.395154e+04 0 17 22
## 36 2.412770e+04 0 17 22
## 37 2.398967e+04 0 17 22
## 38 2.398006e+04 0 17 22
## 39 2.386204e+04 0 17 22
## 40 2.361113e+04 0 17 22
## 41 2.362363e+04 0 17 22
## 42 2.413311e+04 0 17 22
## 43 2.443545e+04 0 17 22
## 44 2.464582e+04 0 17 22
## 45 2.429776e+04 0 17 22
## 46 2.390647e+04 0 17 22
## 47 2.426971e+04 0 17 22
## 48 2.537315e+04 0 17 22
## 49 2.522445e+04 0 17 22
## 50 2.498812e+04 0 17 22
## 51 2.510555e+04 0 17 22
## 52 2.500924e+04 0 17 22
## 53 2.500924e+04 0 17 22
## 54 2.478704e+04 0 17 22
## 55 2.600892e+04 0 17 22
## 56 2.524173e+04 0 17 22
## 57 2.525404e+04 0 17 22
## 58 2.465499e+04 0 17 22
## 59 2.466084e+04 0 17 22
## 60 2.597439e+04 0 17 22
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## 2289 1.806643e+04 0 17 22
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## 2294 1.785211e+04 0 17 22
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## 2298 1.778999e+04 0 17 22
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## 2335 1.706419e+04 0 17 22
## 2336 1.732330e+04 0 17 22
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## 2341 1.771774e+04 0 17 22
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## 2344 1.765208e+04 0 17 22
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## 2346 1.780437e+04 0 17 22
## 2347 1.796419e+04 0 17 22
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## 2351 1.737115e+04 0 17 22
## 2352 1.703604e+04 0 17 22
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## 2354 1.680295e+04 0 17 22
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## 2356 1.665558e+04 0 17 22
## 2357 1.672295e+04 0 17 22
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## 2410 1.282435e+04 0 17 22
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## 2439 1.027660e+04 0 17 22
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## 2441 1.011953e+04 0 17 22
## 2442 9.904957e+03 0 17 22
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## 2462 9.079815e+03 0 17 22
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## 2464 8.849358e+03 0 17 22
## 2465 8.923066e+03 0 17 22
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## 2467 8.858085e+03 0 17 22
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## 2469 8.734276e+03 0 17 22
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## 2471 8.649999e+03 0 17 22
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## 2478 8.459418e+03 0 17 22
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## 2480 8.398157e+03 0 17 22
## 2481 8.401837e+03 0 17 22
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## 2483 8.542782e+03 0 17 22
## 2484 8.441353e+03 0 17 22
## 2485 8.479872e+03 0 17 22
## 2486 8.503136e+03 0 17 22
## 2487 8.468876e+03 0 17 22
## 2488 8.470973e+03 0 17 22
## 2489 8.570594e+03 0 17 22
## 2490 8.596474e+03 0 17 22
## 2491 8.553731e+03 0 17 22
## 2492 8.634106e+03 0 17 22
## 2493 8.542820e+03 0 17 22
## 2494 8.521329e+03 0 17 22
## 2495 8.409473e+03 0 17 22
## 2496 8.409473e+03 0 17 22
## 2497 1.359302e+04 0 17 22
## 2498 1.359302e+04 0 17 22
## 2499 1.392972e+04 0 17 22
## 2500 1.424454e+04 0 17 22
## 2501 1.471965e+04 0 17 22
## 2502 1.479606e+04 0 17 22
## 2503 1.505734e+04 0 17 22
## 2504 1.527770e+04 0 17 22
## 2505 1.563589e+04 0 17 22
## 2506 1.563037e+04 0 17 22
## 2507 1.555906e+04 0 17 22
## 2508 1.575864e+04 0 17 22
## 2509 1.562712e+04 0 17 22
## 2510 1.567471e+04 0 17 22
## 2511 1.584320e+04 0 17 22
## 2512 1.577025e+04 0 17 22
## 2513 1.591104e+04 0 17 22
## 2514 1.576464e+04 0 17 22
## 2515 1.584868e+04 0 17 22
## 2516 1.632911e+04 0 17 22
## 2517 1.658593e+04 0 17 22
## 2518 1.655210e+04 0 17 22
## 2519 1.646683e+04 0 17 22
## 2520 1.689812e+04 0 17 22
## 2521 1.642556e+04 0 17 22
## 2522 1.673520e+04 0 17 22
## 2523 1.655650e+04 0 17 22
## 2524 1.703090e+04 0 17 22
## 2525 1.722538e+04 0 17 22
## 2526 1.711695e+04 0 17 22
## 2527 1.695009e+04 0 17 22
## 2528 1.698065e+04 0 17 22
## 2529 1.733135e+04 0 17 22
## 2530 1.781149e+04 0 17 22
## 2531 1.792956e+04 0 17 22
## 2532 1.783441e+04 0 17 22
## 2533 1.791703e+04 0 17 22
## 2534 1.797529e+04 0 17 22
## 2535 1.803428e+04 0 17 22
## 2536 1.809372e+04 0 17 22
## 2537 1.833386e+04 0 17 22
## 2538 1.852506e+04 0 17 22
## 2539 1.861755e+04 0 17 22
## 2540 1.890338e+04 0 17 22
## 2541 1.873110e+04 0 17 22
## 2542 1.872831e+04 0 17 22
## 2543 1.874136e+04 0 17 22
## 2544 1.856035e+04 0 17 22
## 2545 1.859308e+04 0 17 22
## 2546 1.870612e+04 0 17 22
## 2547 1.893941e+04 0 17 22
## 2548 1.909589e+04 0 17 22
## 2549 1.909589e+04 0 17 22
## 2550 1.910351e+04 0 17 22
## 2551 1.893999e+04 0 17 22
## 2552 1.868750e+04 0 17 22
## 2553 1.888028e+04 0 17 22
## 2554 1.882094e+04 0 17 22
## 2555 1.897506e+04 0 17 22
## 2556 1.945257e+04 0 17 22
## 2557 1.924624e+04 0 17 22
## 2558 1.914845e+04 0 17 22
## 2559 1.981525e+04 0 17 22
## 2560 1.984238e+04 0 17 22
## 2561 2.001133e+04 0 17 22
## 2562 1.976963e+04 0 17 22
## 2563 2.019290e+04 0 17 22
## 2564 2.043647e+04 0 17 22
## 2565 2.026725e+04 0 17 22
## 2566 2.015654e+04 0 17 22
## 2567 2.019408e+04 0 17 22
## 2568 2.025947e+04 0 17 22
## 2569 2.015378e+04 0 17 22
## 2570 1.985420e+04 0 17 22
## 2571 1.977817e+04 0 17 22
## 2572 1.947671e+04 0 17 22
## 2573 1.937990e+04 0 17 22
## 2574 1.950296e+04 0 17 22
## 2575 1.891270e+04 0 17 22
## 2576 1.836661e+04 0 17 22
## 2577 1.808265e+04 0 17 22
## 2578 1.817814e+04 0 17 22
## 2579 1.844110e+04 0 17 22
## 2580 1.833811e+04 0 17 22
## 2581 1.817587e+04 0 17 22
## 2582 1.801863e+04 0 17 22
## 2583 1.807068e+04 0 17 22
## 2584 1.814175e+04 0 17 22
## 2585 1.804426e+04 0 17 22
## 2586 1.815713e+04 0 17 22
## 2587 1.804872e+04 0 17 22
## 2588 1.793860e+04 0 17 22
## 2589 1.798672e+04 0 17 22
## 2590 1.769074e+04 0 17 22
## 2591 1.759520e+04 0 17 22
## 2592 1.780484e+04 0 17 22
## 2593 1.781984e+04 0 17 22
## 2594 1.779627e+04 0 17 22
## 2595 1.784115e+04 0 17 22
## 2596 1.783703e+04 0 17 22
## 2597 1.777801e+04 0 17 22
## 2598 1.781799e+04 0 17 22
## 2599 1.774402e+04 0 17 22
## 2600 1.774402e+04 0 17 22
## 2601 3.586234e+03 0 17 22
## 2602 3.586234e+03 0 17 22
## 2603 3.527520e+03 0 17 22
## 2604 3.470522e+03 0 17 22
## 2605 3.508510e+03 0 17 22
## 2606 3.544675e+03 0 17 22
## 2607 3.509184e+03 0 17 22
## 2608 3.492294e+03 0 17 22
## 2609 3.529260e+03 0 17 22
## 2610 3.508983e+03 0 17 22
## 2611 3.500502e+03 0 17 22
## 2612 3.518570e+03 0 17 22
## 2613 3.544123e+03 0 17 22
## 2614 3.564706e+03 0 17 22
## 2615 3.549430e+03 0 17 22
## 2616 3.537010e+03 0 17 22
## 2617 3.543688e+03 0 17 22
## 2618 3.534845e+03 0 17 22
## 2619 3.530737e+03 0 17 22
## 2620 3.540097e+03 0 17 22
## 2621 3.510570e+03 0 17 22
## 2622 3.489735e+03 0 17 22
## 2623 3.431765e+03 0 17 22
## 2624 3.421272e+03 0 17 22
## 2625 3.358245e+03 0 17 22
## 2626 3.271969e+03 0 17 22
## 2627 3.307810e+03 0 17 22
## 2628 3.277354e+03 0 17 22
## 2629 3.253706e+03 0 17 22
## 2630 3.178504e+03 0 17 22
## 2631 3.132113e+03 0 17 22
## 2632 3.124227e+03 0 17 22
## 2633 3.067851e+03 0 17 22
## 2634 3.049438e+03 0 17 22
## 2635 2.980439e+03 0 17 22
## 2636 2.931287e+03 0 17 22
## 2637 2.912392e+03 0 17 22
## 2638 2.912888e+03 0 17 22
## 2639 2.895939e+03 0 17 22
## 2640 2.898387e+03 0 17 22
## 2641 2.888609e+03 0 17 22
## 2642 2.887811e+03 0 17 22
## 2643 2.892352e+03 0 17 22
## 2644 2.886564e+03 0 17 22
## 2645 2.874766e+03 0 17 22
## 2646 2.896323e+03 0 17 22
## 2647 2.873824e+03 0 17 22
## 2648 2.863265e+03 0 17 22
## 2649 2.869547e+03 0 17 22
## 2650 2.842957e+03 0 17 22
## 2651 2.822749e+03 0 17 22
## 2652 2.806251e+03 0 17 22
## 2653 2.806251e+03 0 17 22
## 2654 2.790035e+03 0 17 22
## 2655 2.792089e+03 0 17 22
## 2656 2.781887e+03 0 17 22
## 2657 2.783721e+03 0 17 22
## 2658 2.765964e+03 0 17 22
## 2659 2.780605e+03 0 17 22
## 2660 2.769978e+03 0 17 22
## 2661 2.744812e+03 0 17 22
## 2662 2.737558e+03 0 17 22
## 2663 2.725015e+03 0 17 22
## 2664 2.677629e+03 0 17 22
## 2665 2.686151e+03 0 17 22
## 2666 2.671414e+03 0 17 22
## 2667 2.636178e+03 0 17 22
## 2668 2.602878e+03 0 17 22
## 2669 2.567721e+03 0 17 22
## 2670 2.541916e+03 0 17 22
## 2671 2.486849e+03 0 17 22
## 2672 2.455392e+03 0 17 22
## 2673 2.434308e+03 0 17 22
## 2674 2.439089e+03 0 17 22
## 2675 2.479358e+03 0 17 22
## 2676 2.494339e+03 0 17 22
## 2677 2.464524e+03 0 17 22
## 2678 2.485268e+03 0 17 22
## 2679 2.472355e+03 0 17 22
## 2680 2.480644e+03 0 17 22
## 2681 2.465608e+03 0 17 22
## 2682 2.466127e+03 0 17 22
## 2683 2.458400e+03 0 17 22
## 2684 2.500431e+03 0 17 22
## 2685 2.505719e+03 0 17 22
## 2686 2.495526e+03 0 17 22
## 2687 2.504985e+03 0 17 22
## 2688 2.500024e+03 0 17 22
## 2689 2.495032e+03 0 17 22
## 2690 2.490568e+03 0 17 22
## 2691 2.495721e+03 0 17 22
## 2692 2.493623e+03 0 17 22
## 2693 2.489770e+03 0 17 22
## 2694 2.493166e+03 0 17 22
## 2695 2.491747e+03 0 17 22
## 2696 2.487283e+03 0 17 22
## 2697 2.486153e+03 0 17 22
## 2698 2.489485e+03 0 17 22
## 2699 2.491336e+03 0 17 22
## 2700 2.472863e+03 0 17 22
## 2701 2.480345e+03 0 17 22
## 2702 2.478382e+03 0 17 22
## PCR_sens sigma_M beta_w_3 beta_w_2 beta_w_1 beta_w_0 g_0
## 1 0.9 2.859026e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2 0.9 2.859026e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 3 0.9 1.027488e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 4 0.9 1.109132e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 5 0.9 1.056190e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 6 0.9 9.800860e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 7 0.9 8.957633e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 8 0.9 8.767985e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 9 0.9 7.635573e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 10 0.9 7.927765e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 11 0.9 8.236507e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 12 0.9 8.023979e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 13 0.9 7.839214e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 14 0.9 7.701989e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 15 0.9 7.187642e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 16 0.9 7.680899e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 17 0.9 7.821091e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 18 0.9 7.521681e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 19 0.9 6.618806e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 20 0.9 7.225432e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 21 0.9 6.675611e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 22 0.9 6.827921e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 23 0.9 7.338920e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 24 0.9 7.487564e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 25 0.9 7.011829e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 26 0.9 7.122204e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 27 0.9 7.717050e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 28 0.9 7.266401e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 29 0.9 6.586570e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 30 0.9 7.630018e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 31 0.9 7.630989e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 32 0.9 7.363819e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 33 0.9 6.882505e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 34 0.9 7.045864e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 35 0.9 6.098643e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 36 0.9 6.701603e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 37 0.9 6.353304e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 38 0.9 6.240625e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 39 0.9 6.616276e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 40 0.9 6.865392e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 41 0.9 6.031411e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 42 0.9 5.894842e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 43 0.9 6.416962e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 44 0.9 6.291403e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 45 0.9 7.099852e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 46 0.9 6.428884e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 47 0.9 5.581836e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 48 0.9 6.003519e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 49 0.9 5.310378e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 50 0.9 5.798030e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 51 0.9 6.301168e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 52 0.9 5.705061e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 53 0.9 5.705061e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 54 0.9 4.750913e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 55 0.9 4.932579e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 56 0.9 4.907135e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 57 0.9 4.701300e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 58 0.9 3.961733e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 59 0.9 3.315173e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 60 0.9 3.401407e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 61 0.9 3.281833e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 62 0.9 2.973443e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 63 0.9 3.040354e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 64 0.9 2.877405e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 65 0.9 2.920622e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 66 0.9 2.857880e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 67 0.9 2.889497e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 68 0.9 2.961688e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 69 0.9 2.924440e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 70 0.9 2.989722e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 71 0.9 3.004201e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 72 0.9 2.913420e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 73 0.9 3.062639e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 74 0.9 2.988695e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 75 0.9 3.007983e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 76 0.9 3.064531e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 77 0.9 3.015940e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 78 0.9 2.998183e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 79 0.9 2.954809e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 80 0.9 2.973716e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 81 0.9 3.008447e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 82 0.9 3.088751e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 83 0.9 3.162892e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 84 0.9 3.025138e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 85 0.9 3.087299e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 86 0.9 3.022780e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 87 0.9 3.070631e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 88 0.9 3.157168e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 89 0.9 3.012704e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 90 0.9 3.084403e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 91 0.9 3.085455e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 92 0.9 2.964173e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 93 0.9 3.018682e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 94 0.9 3.084659e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 95 0.9 3.005281e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 96 0.9 3.167494e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 97 0.9 3.060440e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 98 0.9 3.126788e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 99 0.9 3.137010e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 100 0.9 3.011629e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 101 0.9 2.999341e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 102 0.9 2.997691e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 103 0.9 3.097214e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 104 0.9 3.097214e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 105 0.9 3.802403e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 106 0.9 3.802403e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 107 0.9 9.415472e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 108 0.9 9.950231e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 109 0.9 6.178148e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 110 0.9 3.779441e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 111 0.9 3.047540e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 112 0.9 3.037583e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 113 0.9 2.948548e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 114 0.9 2.875353e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 115 0.9 2.881372e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 116 0.9 2.868973e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 117 0.9 2.934858e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 118 0.9 2.973887e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 119 0.9 2.926458e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 120 0.9 2.876633e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 121 0.9 2.891885e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 122 0.9 2.896131e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 123 0.9 2.833323e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 124 0.9 2.766505e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 125 0.9 2.715112e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 126 0.9 2.850488e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 127 0.9 2.878813e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 128 0.9 2.850686e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 129 0.9 2.858631e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 130 0.9 2.869704e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 131 0.9 2.954819e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 132 0.9 2.919330e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 133 0.9 2.831799e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 134 0.9 2.888716e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 135 0.9 2.859668e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 136 0.9 2.912959e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 137 0.9 2.890662e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 138 0.9 2.867413e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 139 0.9 2.872106e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 140 0.9 2.869762e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 141 0.9 2.872378e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 142 0.9 2.887377e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 143 0.9 2.850126e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 144 0.9 2.863605e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 145 0.9 2.849444e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 146 0.9 2.797661e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 147 0.9 2.885236e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 148 0.9 2.875422e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 149 0.9 2.790585e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 150 0.9 2.848243e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 151 0.9 2.840032e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 152 0.9 2.836220e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 153 0.9 2.881029e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 154 0.9 2.876100e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 155 0.9 2.898483e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 156 0.9 2.873027e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 157 0.9 2.873027e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 158 0.9 2.773356e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 159 0.9 2.814673e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 160 0.9 2.845446e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 161 0.9 2.830313e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 162 0.9 2.822755e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 163 0.9 2.785085e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 164 0.9 2.838546e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 165 0.9 2.861914e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 166 0.9 2.823083e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 167 0.9 2.813359e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 168 0.9 2.814453e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 169 0.9 2.814786e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 170 0.9 2.833530e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 171 0.9 2.832477e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 172 0.9 2.826609e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 173 0.9 2.864092e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 174 0.9 2.849750e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 175 0.9 2.805088e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 176 0.9 2.824635e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 177 0.9 2.851142e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 178 0.9 2.823138e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 179 0.9 2.831708e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 180 0.9 2.817928e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 181 0.9 2.812521e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 182 0.9 2.839145e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 183 0.9 2.865426e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 184 0.9 2.840572e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 185 0.9 2.847556e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 186 0.9 2.823029e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 187 0.9 2.858132e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 188 0.9 2.823301e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 189 0.9 2.846712e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 190 0.9 2.852028e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 191 0.9 2.817740e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 192 0.9 2.844968e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 193 0.9 2.795972e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 194 0.9 2.829928e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 195 0.9 2.838342e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 196 0.9 2.820206e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 197 0.9 2.804922e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 198 0.9 2.818830e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 199 0.9 2.820275e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 200 0.9 2.843467e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 201 0.9 2.823768e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 202 0.9 2.825401e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 203 0.9 2.814434e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 204 0.9 2.811836e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 205 0.9 2.811283e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 206 0.9 2.830796e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 207 0.9 2.826527e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 208 0.9 2.826527e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 209 0.9 4.411967e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 210 0.9 4.411967e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 211 0.9 4.913504e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 212 0.9 1.011647e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 213 0.9 4.179816e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 214 0.9 3.727719e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 215 0.9 1.085642e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 216 0.9 5.567431e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 217 0.9 3.802207e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 218 0.9 2.952072e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 219 0.9 2.879529e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 220 0.9 2.910901e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 221 0.9 2.864248e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 222 0.9 2.865756e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 223 0.9 2.833869e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 224 0.9 2.861610e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 225 0.9 2.872526e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 226 0.9 2.869931e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 227 0.9 2.795607e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 228 0.9 2.849888e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 229 0.9 2.849715e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 230 0.9 2.901442e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 231 0.9 2.924171e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 232 0.9 2.776010e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 233 0.9 2.850380e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 234 0.9 2.819920e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 235 0.9 2.837808e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 236 0.9 2.803505e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 237 0.9 2.838277e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 238 0.9 2.845114e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 239 0.9 2.947855e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 240 0.9 2.873662e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 241 0.9 2.859434e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 242 0.9 2.826640e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 243 0.9 2.848409e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 244 0.9 2.856906e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 245 0.9 2.878168e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 246 0.9 2.868356e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 247 0.9 2.861578e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 248 0.9 2.880805e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 249 0.9 2.896620e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 250 0.9 2.854737e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 251 0.9 2.898302e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 252 0.9 2.867085e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 253 0.9 2.868743e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 254 0.9 2.887928e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 255 0.9 2.890568e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 256 0.9 2.880243e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 257 0.9 2.907614e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 258 0.9 2.843908e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 259 0.9 2.829049e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 260 0.9 2.863728e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 261 0.9 2.863728e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 262 0.9 2.797256e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 263 0.9 2.792153e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 264 0.9 2.822772e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 265 0.9 2.820308e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 266 0.9 2.790256e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 267 0.9 2.818842e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 268 0.9 2.795165e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 269 0.9 2.813185e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 270 0.9 2.793128e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 271 0.9 2.802478e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 272 0.9 2.789258e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 273 0.9 2.843432e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 274 0.9 2.808763e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 275 0.9 2.832600e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 276 0.9 2.798446e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 277 0.9 2.818021e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 278 0.9 2.826288e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 279 0.9 2.806477e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 280 0.9 2.842045e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 281 0.9 2.804891e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 282 0.9 2.785988e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 283 0.9 2.813274e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 284 0.9 2.824786e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 285 0.9 2.831313e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 286 0.9 2.840445e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 287 0.9 2.824278e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 288 0.9 2.784733e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 289 0.9 2.792046e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 290 0.9 2.822462e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 291 0.9 2.822719e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 292 0.9 2.831454e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 293 0.9 2.836414e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 294 0.9 2.819995e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 295 0.9 2.821529e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 296 0.9 2.842230e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 297 0.9 2.838417e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 298 0.9 2.822352e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 299 0.9 2.820053e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 300 0.9 2.790638e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 301 0.9 2.795719e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 302 0.9 2.815443e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 303 0.9 2.800689e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 304 0.9 2.834707e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 305 0.9 2.829530e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 306 0.9 2.821398e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 307 0.9 2.796911e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 308 0.9 2.842598e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 309 0.9 2.833821e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 310 0.9 2.802699e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 311 0.9 2.811301e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 312 0.9 2.811301e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 313 0.9 2.648204e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 314 0.9 2.648204e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 315 0.9 2.457668e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 316 0.9 8.549745e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 317 0.9 4.127163e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 318 0.9 3.154687e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 319 0.9 2.874697e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 320 0.9 2.866236e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 321 0.9 2.810596e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 322 0.9 2.777484e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 323 0.9 2.801116e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 324 0.9 2.825009e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 325 0.9 2.787913e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 326 0.9 2.785229e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 327 0.9 2.806980e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 328 0.9 2.782912e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 329 0.9 2.785835e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 330 0.9 2.768475e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 331 0.9 2.795501e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 332 0.9 2.773707e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 333 0.9 2.779439e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 334 0.9 2.790869e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 335 0.9 2.786114e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 336 0.9 2.782189e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 337 0.9 2.785959e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 338 0.9 2.755272e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 339 0.9 2.787475e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 340 0.9 2.765462e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 341 0.9 2.777484e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 342 0.9 2.784697e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 343 0.9 2.790511e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 344 0.9 2.754928e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 345 0.9 2.812666e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 346 0.9 2.790473e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 347 0.9 2.799748e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 348 0.9 2.781683e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 349 0.9 2.794825e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 350 0.9 2.785663e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 351 0.9 2.790602e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 352 0.9 2.779462e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 353 0.9 2.779573e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 354 0.9 2.777025e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 355 0.9 2.821287e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 356 0.9 2.772679e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 357 0.9 2.778676e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 358 0.9 2.805309e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 359 0.9 2.753986e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 360 0.9 2.781723e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 361 0.9 2.791805e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 362 0.9 2.779097e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 363 0.9 2.793384e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 364 0.9 2.808074e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 365 0.9 2.808074e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 366 0.9 2.726231e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 367 0.9 2.735317e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 368 0.9 2.755481e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 369 0.9 2.733168e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 370 0.9 2.711832e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 371 0.9 2.735507e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 372 0.9 2.721619e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 373 0.9 2.751437e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 374 0.9 2.764655e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 375 0.9 2.764914e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 376 0.9 2.759440e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 377 0.9 2.740114e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 378 0.9 2.791715e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 379 0.9 2.752803e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 380 0.9 2.755394e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 381 0.9 2.759765e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 382 0.9 2.737278e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 383 0.9 2.739364e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 384 0.9 2.765019e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 385 0.9 2.772134e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 386 0.9 2.766686e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 387 0.9 2.727412e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 388 0.9 2.734680e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 389 0.9 2.744233e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 390 0.9 2.770575e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 391 0.9 2.740910e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 392 0.9 2.784575e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 393 0.9 2.760240e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 394 0.9 2.753498e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 395 0.9 2.759183e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 396 0.9 2.751640e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 397 0.9 2.754867e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 398 0.9 2.741477e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 399 0.9 2.778544e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 400 0.9 2.773766e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 401 0.9 2.768665e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 402 0.9 2.775072e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 403 0.9 2.786675e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 404 0.9 2.753973e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 405 0.9 2.754490e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 406 0.9 2.774234e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 407 0.9 2.793385e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 408 0.9 2.777164e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 409 0.9 2.775175e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 410 0.9 2.771858e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 411 0.9 2.749016e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 412 0.9 2.717332e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 413 0.9 2.771496e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 414 0.9 2.773086e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 415 0.9 2.758896e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 416 0.9 2.758896e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 417 0.9 4.039584e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 418 0.9 4.039584e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 419 0.9 1.943373e+01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 420 0.9 2.268490e+01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 421 0.9 1.358191e+01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 422 0.9 3.457836e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 423 0.9 1.332385e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 424 0.9 7.945893e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 425 0.9 4.904404e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 426 0.9 5.015234e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 427 0.9 4.223676e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 428 0.9 3.891777e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 429 0.9 3.772262e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 430 0.9 3.371450e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 431 0.9 3.472352e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 432 0.9 3.404510e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 433 0.9 3.494318e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 434 0.9 3.305353e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 435 0.9 3.298969e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 436 0.9 3.049793e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 437 0.9 3.344356e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 438 0.9 3.301460e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 439 0.9 3.263145e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 440 0.9 3.247834e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 441 0.9 3.302700e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 442 0.9 3.340162e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 443 0.9 3.402869e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 444 0.9 3.369618e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 445 0.9 3.204882e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 446 0.9 3.360187e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 447 0.9 3.342944e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 448 0.9 3.325144e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 449 0.9 3.353286e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 450 0.9 3.303244e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 451 0.9 3.333266e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 452 0.9 3.324284e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 453 0.9 3.282006e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 454 0.9 3.240857e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 455 0.9 3.318818e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 456 0.9 3.336119e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 457 0.9 3.300084e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 458 0.9 3.291117e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 459 0.9 3.282505e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 460 0.9 3.224413e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 461 0.9 3.266702e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 462 0.9 3.316223e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 463 0.9 3.303471e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 464 0.9 3.206815e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 465 0.9 3.304608e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 466 0.9 3.373195e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 467 0.9 3.286320e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 468 0.9 3.287782e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 469 0.9 3.287782e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 470 0.9 3.114143e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 471 0.9 3.186544e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 472 0.9 2.999238e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 473 0.9 3.153963e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 474 0.9 3.134388e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 475 0.9 3.150645e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 476 0.9 2.941671e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 477 0.9 3.136582e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 478 0.9 3.103911e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 479 0.9 2.936702e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 480 0.9 3.273522e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 481 0.9 3.200913e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 482 0.9 3.205646e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 483 0.9 3.130264e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 484 0.9 3.173343e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 485 0.9 3.295861e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 486 0.9 3.193510e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 487 0.9 3.173548e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 488 0.9 3.144838e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 489 0.9 3.171793e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 490 0.9 3.231572e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 491 0.9 3.151415e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 492 0.9 3.180639e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 493 0.9 3.158457e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 494 0.9 3.128309e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 495 0.9 3.129460e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 496 0.9 3.011696e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 497 0.9 3.033639e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 498 0.9 3.017279e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 499 0.9 3.081313e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 500 0.9 3.024878e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 501 0.9 3.102654e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 502 0.9 3.141833e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 503 0.9 3.166105e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 504 0.9 3.043607e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 505 0.9 3.111993e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 506 0.9 3.079671e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 507 0.9 2.997333e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 508 0.9 3.011641e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 509 0.9 3.045532e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 510 0.9 3.121504e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 511 0.9 3.141522e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 512 0.9 3.070244e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 513 0.9 3.087560e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 514 0.9 3.072746e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 515 0.9 3.090123e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 516 0.9 3.084892e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 517 0.9 3.093503e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 518 0.9 3.025583e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 519 0.9 3.063995e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 520 0.9 3.063995e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 521 0.9 2.249320e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 522 0.9 2.249320e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 523 0.9 4.638696e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 524 0.9 2.980958e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 525 0.9 8.653789e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 526 0.9 1.229495e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 527 0.9 1.046109e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 528 0.9 5.881881e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 529 0.9 5.752447e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 530 0.9 4.944329e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 531 0.9 5.346661e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 532 0.9 5.005260e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 533 0.9 4.576617e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 534 0.9 4.402218e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 535 0.9 4.226702e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 536 0.9 4.088042e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 537 0.9 3.917127e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 538 0.9 3.633190e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 539 0.9 3.545834e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 540 0.9 3.607516e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 541 0.9 3.368937e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 542 0.9 3.298760e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 543 0.9 3.364984e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 544 0.9 3.344781e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 545 0.9 3.368155e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 546 0.9 3.376739e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 547 0.9 3.322840e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 548 0.9 3.392644e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 549 0.9 3.346181e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 550 0.9 3.229336e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 551 0.9 3.344783e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 552 0.9 3.409999e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 553 0.9 3.246990e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 554 0.9 3.366233e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 555 0.9 3.279490e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 556 0.9 3.306400e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 557 0.9 3.219436e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 558 0.9 3.170559e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 559 0.9 3.256375e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 560 0.9 3.197417e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 561 0.9 3.165131e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 562 0.9 3.207476e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 563 0.9 3.218637e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 564 0.9 3.343714e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 565 0.9 3.232303e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 566 0.9 3.280338e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 567 0.9 3.272715e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 568 0.9 3.237319e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 569 0.9 3.206893e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 570 0.9 3.135940e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 571 0.9 3.195744e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 572 0.9 3.259434e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 573 0.9 3.259434e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 574 0.9 3.023882e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 575 0.9 2.985060e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 576 0.9 3.092724e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 577 0.9 3.117511e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 578 0.9 2.965424e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 579 0.9 3.067886e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 580 0.9 2.989344e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 581 0.9 3.136181e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 582 0.9 2.962654e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 583 0.9 3.080508e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 584 0.9 3.077571e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 585 0.9 3.086618e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 586 0.9 3.091347e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 587 0.9 3.165074e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 588 0.9 3.013514e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 589 0.9 3.107860e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 590 0.9 3.022762e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 591 0.9 3.029550e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 592 0.9 3.060376e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 593 0.9 3.081042e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 594 0.9 2.992276e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 595 0.9 3.103455e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 596 0.9 3.122458e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 597 0.9 3.035999e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 598 0.9 3.039318e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 599 0.9 3.023560e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 600 0.9 3.148511e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 601 0.9 3.090779e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 602 0.9 3.086789e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 603 0.9 3.105699e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 604 0.9 3.081938e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 605 0.9 3.157642e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 606 0.9 3.091262e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 607 0.9 3.163299e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 608 0.9 3.112560e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 609 0.9 3.126431e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 610 0.9 3.129032e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 611 0.9 3.161733e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 612 0.9 3.092020e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 613 0.9 3.036485e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 614 0.9 3.137827e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 615 0.9 3.107383e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 616 0.9 3.140351e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 617 0.9 3.072947e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 618 0.9 3.103064e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 619 0.9 3.127307e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 620 0.9 3.178147e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 621 0.9 3.119932e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 622 0.9 3.168623e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 623 0.9 3.096572e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 624 0.9 3.096572e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 625 0.9 2.528135e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 626 0.9 2.528135e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 627 0.9 9.417724e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 628 0.9 1.329985e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 629 0.9 9.214576e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 630 0.9 7.557554e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 631 0.9 6.978535e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 632 0.9 6.554578e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 633 0.9 6.410854e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 634 0.9 6.689015e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 635 0.9 6.361680e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 636 0.9 6.230202e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 637 0.9 5.808890e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 638 0.9 6.365306e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 639 0.9 5.969669e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 640 0.9 6.472518e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 641 0.9 5.780743e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 642 0.9 5.574387e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 643 0.9 5.392434e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 644 0.9 5.497680e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 645 0.9 5.564895e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 646 0.9 5.298446e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 647 0.9 5.118789e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 648 0.9 4.577022e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 649 0.9 4.446474e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 650 0.9 4.254495e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 651 0.9 3.903867e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 652 0.9 3.842218e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 653 0.9 3.461213e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 654 0.9 3.416350e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 655 0.9 3.461403e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 656 0.9 3.381133e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 657 0.9 3.335966e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 658 0.9 3.383231e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 659 0.9 3.367134e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 660 0.9 3.160165e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 661 0.9 3.259890e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 662 0.9 3.329382e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 663 0.9 3.204173e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 664 0.9 3.066043e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 665 0.9 3.385002e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 666 0.9 3.185304e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 667 0.9 3.220604e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 668 0.9 3.155425e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 669 0.9 3.314918e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 670 0.9 3.176459e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 671 0.9 3.208031e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 672 0.9 3.343499e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 673 0.9 3.178054e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 674 0.9 3.337749e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 675 0.9 3.282641e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 676 0.9 3.163075e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 677 0.9 3.163075e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 678 0.9 2.949560e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 679 0.9 3.094903e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 680 0.9 3.160334e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 681 0.9 3.259554e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 682 0.9 3.156278e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 683 0.9 3.047349e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 684 0.9 3.210115e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 685 0.9 3.113397e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 686 0.9 2.980581e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 687 0.9 3.236092e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 688 0.9 3.117333e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 689 0.9 3.234207e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 690 0.9 3.090302e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 691 0.9 3.172849e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 692 0.9 3.140859e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 693 0.9 3.116689e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 694 0.9 3.227010e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 695 0.9 3.187771e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 696 0.9 3.260847e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 697 0.9 3.211074e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 698 0.9 3.118816e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 699 0.9 3.244010e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 700 0.9 3.180426e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 701 0.9 3.199051e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 702 0.9 3.310929e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 703 0.9 3.281061e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 704 0.9 3.236667e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 705 0.9 3.216108e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 706 0.9 3.193910e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 707 0.9 3.192836e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 708 0.9 3.176130e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 709 0.9 3.120777e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 710 0.9 3.167951e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 711 0.9 3.171759e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 712 0.9 3.162512e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 713 0.9 3.111280e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 714 0.9 3.251152e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 715 0.9 3.171537e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 716 0.9 3.241394e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 717 0.9 3.192670e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 718 0.9 3.238672e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 719 0.9 3.186693e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 720 0.9 3.212913e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 721 0.9 3.161760e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 722 0.9 3.179152e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 723 0.9 3.274859e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 724 0.9 3.201755e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 725 0.9 3.253292e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 726 0.9 3.195068e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 727 0.9 3.280716e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 728 0.9 3.280716e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 729 0.9 3.556659e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 730 0.9 3.556659e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 731 0.9 8.782289e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 732 0.9 1.009231e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 733 0.9 9.205099e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 734 0.9 7.231751e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 735 0.9 5.211204e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 736 0.9 3.967012e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 737 0.9 3.079032e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 738 0.9 2.908042e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 739 0.9 2.924178e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 740 0.9 2.894961e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 741 0.9 2.876075e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 742 0.9 2.898866e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 743 0.9 2.926173e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 744 0.9 2.932040e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 745 0.9 2.938771e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 746 0.9 2.928687e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 747 0.9 2.941494e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 748 0.9 2.910366e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 749 0.9 2.928726e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 750 0.9 2.989994e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 751 0.9 2.963305e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 752 0.9 2.933092e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 753 0.9 2.941556e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 754 0.9 2.941284e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 755 0.9 2.925633e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 756 0.9 2.891260e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 757 0.9 2.992815e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 758 0.9 2.941167e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 759 0.9 2.929714e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 760 0.9 2.960949e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 761 0.9 2.972943e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 762 0.9 2.953688e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 763 0.9 2.921506e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 764 0.9 2.928353e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 765 0.9 2.927307e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 766 0.9 2.960382e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 767 0.9 2.955913e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 768 0.9 2.965390e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 769 0.9 2.968518e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 770 0.9 2.955196e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 771 0.9 2.984865e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 772 0.9 2.941306e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 773 0.9 2.980111e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 774 0.9 2.994553e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 775 0.9 2.968126e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 776 0.9 3.020278e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 777 0.9 2.996020e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 778 0.9 3.008179e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 779 0.9 2.956865e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 780 0.9 2.989614e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 781 0.9 2.989614e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 782 0.9 2.828072e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 783 0.9 2.875873e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 784 0.9 2.811939e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 785 0.9 2.842806e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 786 0.9 2.841923e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 787 0.9 2.818583e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 788 0.9 2.881903e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 789 0.9 2.900514e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 790 0.9 2.867252e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 791 0.9 2.884775e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 792 0.9 2.869536e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 793 0.9 2.934473e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 794 0.9 2.909708e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 795 0.9 2.885808e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 796 0.9 2.924943e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 797 0.9 2.897754e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 798 0.9 2.945110e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 799 0.9 2.937864e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 800 0.9 2.864925e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 801 0.9 2.907023e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 802 0.9 2.947438e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 803 0.9 2.948210e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 804 0.9 2.935410e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 805 0.9 2.919647e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 806 0.9 2.908888e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 807 0.9 2.986318e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 808 0.9 2.961549e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 809 0.9 2.956790e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 810 0.9 2.873372e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 811 0.9 2.903483e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 812 0.9 2.893276e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 813 0.9 2.968238e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 814 0.9 2.923126e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 815 0.9 2.985179e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 816 0.9 2.929276e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 817 0.9 2.947409e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 818 0.9 2.933873e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 819 0.9 2.982916e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 820 0.9 2.970563e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 821 0.9 2.959643e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 822 0.9 2.934464e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 823 0.9 2.936256e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 824 0.9 2.936243e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 825 0.9 2.935159e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 826 0.9 2.944569e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 827 0.9 2.961192e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 828 0.9 3.016853e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 829 0.9 2.983174e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 830 0.9 2.977123e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 831 0.9 2.995893e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 832 0.9 2.995893e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 833 0.9 3.289625e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 834 0.9 3.289625e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 835 0.9 3.503695e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 836 0.9 1.610391e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 837 0.9 1.493520e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 838 0.9 1.377091e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 839 0.9 1.380364e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 840 0.9 1.377676e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 841 0.9 1.373096e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 842 0.9 1.364312e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 843 0.9 1.357738e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 844 0.9 1.370996e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 845 0.9 1.363207e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 846 0.9 1.360452e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 847 0.9 1.360611e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 848 0.9 1.335278e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 849 0.9 1.355129e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 850 0.9 1.331629e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 851 0.9 1.327720e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 852 0.9 1.345519e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 853 0.9 1.336545e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 854 0.9 1.330126e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 855 0.9 1.316876e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 856 0.9 1.341628e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 857 0.9 1.317820e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 858 0.9 1.323569e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 859 0.9 1.310810e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 860 0.9 1.326522e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 861 0.9 1.323612e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 862 0.9 1.312902e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 863 0.9 1.321302e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 864 0.9 1.317843e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 865 0.9 1.297445e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 866 0.9 1.317240e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 867 0.9 1.304797e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 868 0.9 1.326689e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 869 0.9 1.312464e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 870 0.9 1.260071e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 871 0.9 1.025078e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 872 0.9 7.516040e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 873 0.9 6.091248e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 874 0.9 5.295787e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 875 0.9 4.276381e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 876 0.9 4.664829e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 877 0.9 3.982526e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 878 0.9 3.791971e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 879 0.9 3.324496e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 880 0.9 3.132187e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 881 0.9 3.028682e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 882 0.9 3.041491e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 883 0.9 3.058937e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 884 0.9 3.027020e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 885 0.9 3.027020e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 886 0.9 2.867315e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 887 0.9 2.874723e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 888 0.9 2.949625e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 889 0.9 2.851824e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 890 0.9 2.898733e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 891 0.9 2.885343e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 892 0.9 2.902269e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 893 0.9 2.909133e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 894 0.9 2.951606e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 895 0.9 2.897959e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 896 0.9 2.943836e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 897 0.9 2.970974e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 898 0.9 2.944843e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 899 0.9 2.925508e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 900 0.9 2.902775e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 901 0.9 2.886357e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 902 0.9 2.956641e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 903 0.9 2.932744e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 904 0.9 2.895529e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 905 0.9 2.987209e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 906 0.9 2.955984e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 907 0.9 2.961040e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 908 0.9 2.920013e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 909 0.9 2.906698e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 910 0.9 2.944922e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 911 0.9 2.882680e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 912 0.9 2.946714e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 913 0.9 2.946446e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 914 0.9 2.939085e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 915 0.9 2.916792e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 916 0.9 2.944746e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 917 0.9 2.987669e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 918 0.9 2.994259e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 919 0.9 2.938131e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 920 0.9 2.972755e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 921 0.9 2.972851e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 922 0.9 2.940658e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 923 0.9 2.980757e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 924 0.9 2.990738e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 925 0.9 3.019425e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 926 0.9 2.989328e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 927 0.9 2.986034e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 928 0.9 3.009299e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 929 0.9 3.019958e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 930 0.9 3.039602e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 931 0.9 2.989221e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 932 0.9 3.033141e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 933 0.9 3.001548e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 934 0.9 3.000484e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 935 0.9 3.033159e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 936 0.9 3.033159e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 937 0.9 1.096129e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 938 0.9 1.096129e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 939 0.9 1.363521e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 940 0.9 1.835807e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 941 0.9 7.375978e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 942 0.9 7.894387e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 943 0.9 6.982519e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 944 0.9 1.976431e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 945 0.9 1.237041e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 946 0.9 1.011612e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 947 0.9 6.119410e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 948 0.9 6.076650e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 949 0.9 4.870606e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 950 0.9 5.618195e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 951 0.9 5.272415e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 952 0.9 5.341332e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 953 0.9 5.524845e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 954 0.9 4.774027e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 955 0.9 4.886188e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 956 0.9 4.714586e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 957 0.9 4.468385e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 958 0.9 4.340172e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 959 0.9 3.815924e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 960 0.9 3.867602e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 961 0.9 3.718407e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 962 0.9 3.624870e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 963 0.9 3.406472e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 964 0.9 3.139521e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 965 0.9 3.121530e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 966 0.9 3.077327e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 967 0.9 3.116670e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 968 0.9 3.096822e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 969 0.9 2.993093e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 970 0.9 2.998670e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 971 0.9 3.041191e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 972 0.9 3.077020e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 973 0.9 3.046031e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 974 0.9 3.016753e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 975 0.9 3.018363e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 976 0.9 3.068129e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 977 0.9 3.022913e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 978 0.9 3.071201e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 979 0.9 3.016533e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 980 0.9 2.972542e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 981 0.9 3.037963e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 982 0.9 2.989300e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 983 0.9 3.049650e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 984 0.9 3.037091e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 985 0.9 3.056318e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 986 0.9 3.045683e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 987 0.9 3.057623e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 988 0.9 3.090526e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 989 0.9 3.090526e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 990 0.9 2.930579e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 991 0.9 2.968731e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 992 0.9 2.984944e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 993 0.9 2.948117e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 994 0.9 2.962138e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 995 0.9 2.975553e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 996 0.9 2.933999e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 997 0.9 3.001087e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 998 0.9 2.996384e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 999 0.9 2.925633e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1000 0.9 2.885949e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1001 0.9 3.012434e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1002 0.9 2.905575e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1003 0.9 2.920447e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1004 0.9 2.883574e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1005 0.9 2.902313e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1006 0.9 2.956960e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1007 0.9 2.945951e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1008 0.9 2.957676e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1009 0.9 2.907207e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1010 0.9 2.961476e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1011 0.9 2.931051e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1012 0.9 2.975253e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1013 0.9 2.943330e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1014 0.9 2.944336e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1015 0.9 2.979963e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1016 0.9 3.007556e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1017 0.9 2.931813e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1018 0.9 2.951508e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1019 0.9 2.902857e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1020 0.9 2.935826e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1021 0.9 2.970158e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1022 0.9 2.949938e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1023 0.9 2.950258e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1024 0.9 2.978446e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1025 0.9 2.943397e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1026 0.9 3.028074e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1027 0.9 2.992807e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1028 0.9 2.946346e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1029 0.9 2.940391e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1030 0.9 2.994374e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1031 0.9 2.964224e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1032 0.9 2.983882e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1033 0.9 2.957041e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1034 0.9 2.938001e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1035 0.9 2.946531e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1036 0.9 2.998308e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1037 0.9 2.975755e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1038 0.9 2.948702e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1039 0.9 2.957542e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1040 0.9 2.957542e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1041 0.9 3.193274e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1042 0.9 3.193274e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1043 0.9 8.806657e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1044 0.9 8.160502e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1045 0.9 7.553794e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1046 0.9 5.772535e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1047 0.9 4.916092e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1048 0.9 3.805815e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1049 0.9 4.136624e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1050 0.9 3.157506e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1051 0.9 2.981815e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1052 0.9 2.877552e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1053 0.9 2.905292e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1054 0.9 2.861166e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1055 0.9 2.857063e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1056 0.9 2.861231e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1057 0.9 2.891172e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1058 0.9 2.890971e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1059 0.9 2.852647e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1060 0.9 2.860643e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1061 0.9 2.886541e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1062 0.9 2.881593e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1063 0.9 2.852918e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1064 0.9 2.847259e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1065 0.9 2.856850e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1066 0.9 2.865516e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1067 0.9 2.879960e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1068 0.9 2.859321e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1069 0.9 2.834452e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1070 0.9 2.855726e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1071 0.9 2.887837e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1072 0.9 2.916060e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1073 0.9 2.908338e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1074 0.9 2.912112e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1075 0.9 2.862036e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1076 0.9 2.846971e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1077 0.9 2.894048e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1078 0.9 2.911902e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1079 0.9 2.889285e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1080 0.9 2.894459e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1081 0.9 2.865561e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1082 0.9 2.891895e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1083 0.9 2.925752e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1084 0.9 2.923509e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1085 0.9 2.926101e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1086 0.9 2.884716e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1087 0.9 2.927841e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1088 0.9 2.835369e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1089 0.9 2.858601e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1090 0.9 2.879084e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1091 0.9 2.929994e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1092 0.9 2.930186e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1093 0.9 2.930186e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1094 0.9 2.782737e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1095 0.9 2.825386e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1096 0.9 2.824930e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1097 0.9 2.853293e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1098 0.9 2.811551e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1099 0.9 2.775043e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1100 0.9 2.821978e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1101 0.9 2.831300e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1102 0.9 2.864838e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1103 0.9 2.835944e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1104 0.9 2.862337e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1105 0.9 2.852527e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1106 0.9 2.823194e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1107 0.9 2.839687e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1108 0.9 2.824413e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1109 0.9 2.855371e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1110 0.9 2.843736e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1111 0.9 2.845097e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1112 0.9 2.798640e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1113 0.9 2.848938e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1114 0.9 2.840615e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1115 0.9 2.891576e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1116 0.9 2.865474e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1117 0.9 2.845734e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1118 0.9 2.880283e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1119 0.9 2.877182e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1120 0.9 2.824364e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1121 0.9 2.847204e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1122 0.9 2.888880e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1123 0.9 2.889280e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1124 0.9 2.885131e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1125 0.9 2.849184e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1126 0.9 2.840310e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1127 0.9 2.866632e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1128 0.9 2.870850e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1129 0.9 2.887502e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1130 0.9 2.881810e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1131 0.9 2.887734e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1132 0.9 2.881593e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1133 0.9 2.855846e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1134 0.9 2.860251e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1135 0.9 2.903696e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1136 0.9 2.888650e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1137 0.9 2.850359e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1138 0.9 2.859297e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1139 0.9 2.848371e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1140 0.9 2.811524e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1141 0.9 2.846356e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1142 0.9 2.881114e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1143 0.9 2.901332e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1144 0.9 2.901332e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1145 0.9 4.143242e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1146 0.9 4.143242e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1147 0.9 2.672367e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1148 0.9 1.036701e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1149 0.9 3.991976e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1150 0.9 3.102959e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1151 0.9 2.969295e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1152 0.9 2.871694e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1153 0.9 2.871365e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1154 0.9 2.836904e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1155 0.9 2.836359e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1156 0.9 2.851857e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1157 0.9 2.885212e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1158 0.9 2.892257e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1159 0.9 2.869669e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1160 0.9 2.880663e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1161 0.9 2.901825e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1162 0.9 2.838474e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1163 0.9 2.788947e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1164 0.9 2.786137e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1165 0.9 2.777048e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1166 0.9 2.798755e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1167 0.9 2.818102e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1168 0.9 2.782585e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1169 0.9 2.790273e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1170 0.9 2.789606e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1171 0.9 2.793448e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1172 0.9 2.818855e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1173 0.9 2.838741e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1174 0.9 2.787316e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1175 0.9 2.804374e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1176 0.9 2.818913e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1177 0.9 2.801088e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1178 0.9 2.815002e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1179 0.9 2.780007e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1180 0.9 2.823277e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1181 0.9 2.807018e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1182 0.9 2.795507e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1183 0.9 2.813125e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1184 0.9 2.811309e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1185 0.9 2.810640e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1186 0.9 2.838932e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1187 0.9 2.811383e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1188 0.9 2.802543e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1189 0.9 2.836634e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1190 0.9 2.835628e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1191 0.9 2.842135e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1192 0.9 2.802053e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1193 0.9 2.835128e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1194 0.9 2.821270e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1195 0.9 2.801226e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1196 0.9 2.813578e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1197 0.9 2.813578e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1198 0.9 2.716665e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1199 0.9 2.775455e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1200 0.9 2.750314e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1201 0.9 2.770049e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1202 0.9 2.781730e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1203 0.9 2.753128e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1204 0.9 2.775794e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1205 0.9 2.797048e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1206 0.9 2.781585e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1207 0.9 2.740502e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1208 0.9 2.743984e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1209 0.9 2.751874e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1210 0.9 2.783195e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1211 0.9 2.790335e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1212 0.9 2.769817e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1213 0.9 2.775084e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1214 0.9 2.746797e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1215 0.9 2.744871e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1216 0.9 2.796423e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1217 0.9 2.773863e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1218 0.9 2.756465e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1219 0.9 2.763972e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1220 0.9 2.778247e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1221 0.9 2.765998e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1222 0.9 2.783311e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1223 0.9 2.778915e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1224 0.9 2.780528e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1225 0.9 2.762935e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1226 0.9 2.779524e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1227 0.9 2.759286e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1228 0.9 2.765363e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1229 0.9 2.777830e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1230 0.9 2.769991e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1231 0.9 2.766891e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1232 0.9 2.789460e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1233 0.9 2.769419e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1234 0.9 2.765043e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1235 0.9 2.790944e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1236 0.9 2.749148e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1237 0.9 2.773654e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1238 0.9 2.803092e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1239 0.9 2.759940e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1240 0.9 2.764058e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1241 0.9 2.755300e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1242 0.9 2.777458e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1243 0.9 2.779860e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1244 0.9 2.774070e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1245 0.9 2.758336e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1246 0.9 2.769540e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1247 0.9 2.790817e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1248 0.9 2.790817e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1249 0.9 4.963050e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1250 0.9 4.963050e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1251 0.9 1.112304e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1252 0.9 7.395697e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1253 0.9 4.859308e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1254 0.9 5.325968e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1255 0.9 5.709286e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1256 0.9 6.553456e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1257 0.9 5.803791e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1258 0.9 5.708756e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1259 0.9 5.862699e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1260 0.9 5.802667e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1261 0.9 5.844594e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1262 0.9 5.885565e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1263 0.9 6.299942e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1264 0.9 5.349839e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1265 0.9 6.064195e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1266 0.9 5.770362e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1267 0.9 5.597210e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1268 0.9 5.722319e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1269 0.9 5.697374e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1270 0.9 5.780320e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1271 0.9 5.394026e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1272 0.9 5.387207e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1273 0.9 5.796334e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1274 0.9 5.633170e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1275 0.9 5.610659e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1276 0.9 5.516077e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1277 0.9 5.607601e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1278 0.9 5.295924e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1279 0.9 5.459706e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1280 0.9 5.386801e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1281 0.9 5.538206e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1282 0.9 5.388004e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1283 0.9 5.430683e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1284 0.9 5.554768e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1285 0.9 5.571495e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1286 0.9 5.311371e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1287 0.9 5.484739e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1288 0.9 5.518101e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1289 0.9 5.391287e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1290 0.9 5.533044e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1291 0.9 5.339642e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1292 0.9 4.933097e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1293 0.9 5.240116e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1294 0.9 5.336300e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1295 0.9 5.310780e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1296 0.9 5.322591e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1297 0.9 5.480546e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1298 0.9 5.437259e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1299 0.9 5.351025e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1300 0.9 5.333362e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1301 0.9 5.333362e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1302 0.9 4.985331e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1303 0.9 5.607048e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1304 0.9 5.614385e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1305 0.9 5.285945e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1306 0.9 5.346816e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1307 0.9 5.095488e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1308 0.9 4.993667e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1309 0.9 5.347215e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1310 0.9 5.698766e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1311 0.9 5.942922e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1312 0.9 5.620100e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1313 0.9 5.750395e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1314 0.9 5.509859e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1315 0.9 5.073064e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1316 0.9 5.339614e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1317 0.9 5.170523e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1318 0.9 4.884818e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1319 0.9 5.445220e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1320 0.9 5.357841e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1321 0.9 5.371724e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1322 0.9 5.328154e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1323 0.9 5.193141e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1324 0.9 5.238439e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1325 0.9 5.088936e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1326 0.9 5.372899e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1327 0.9 5.211529e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1328 0.9 5.008189e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1329 0.9 4.894013e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1330 0.9 4.814209e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1331 0.9 4.884129e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1332 0.9 5.007936e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1333 0.9 5.297123e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1334 0.9 5.019714e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1335 0.9 5.262041e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1336 0.9 4.832827e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1337 0.9 4.964674e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1338 0.9 4.912374e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1339 0.9 4.967517e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1340 0.9 4.912218e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1341 0.9 4.904377e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1342 0.9 4.631583e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1343 0.9 4.858589e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1344 0.9 4.948916e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1345 0.9 5.091266e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1346 0.9 5.102918e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1347 0.9 4.940574e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1348 0.9 4.921304e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1349 0.9 5.044509e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1350 0.9 4.953478e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1351 0.9 4.871755e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1352 0.9 4.871755e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1353 0.9 3.304736e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1354 0.9 3.304736e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1355 0.9 3.133724e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1356 0.9 2.972460e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1357 0.9 3.003668e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1358 0.9 2.889454e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1359 0.9 2.838660e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1360 0.9 2.837810e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1361 0.9 2.842352e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1362 0.9 2.820494e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1363 0.9 2.854733e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1364 0.9 2.842069e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1365 0.9 2.807987e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1366 0.9 2.799669e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1367 0.9 2.826248e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1368 0.9 2.866016e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1369 0.9 2.831791e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1370 0.9 2.863999e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1371 0.9 2.815277e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1372 0.9 2.813068e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1373 0.9 2.830015e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1374 0.9 2.831474e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1375 0.9 2.832298e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1376 0.9 2.787298e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1377 0.9 2.827710e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1378 0.9 2.817026e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1379 0.9 2.844385e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1380 0.9 2.833440e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1381 0.9 2.865410e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1382 0.9 2.843671e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1383 0.9 2.834493e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1384 0.9 2.816861e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1385 0.9 2.789488e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1386 0.9 2.852802e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1387 0.9 2.845992e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1388 0.9 2.824180e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1389 0.9 2.848280e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1390 0.9 2.824334e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1391 0.9 2.822897e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1392 0.9 2.821929e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1393 0.9 2.846597e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1394 0.9 2.865455e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1395 0.9 2.810013e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1396 0.9 2.855617e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1397 0.9 2.841244e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1398 0.9 2.855083e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1399 0.9 2.850646e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1400 0.9 2.860137e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1401 0.9 2.860976e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1402 0.9 2.834339e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1403 0.9 2.860599e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1404 0.9 2.845942e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1405 0.9 2.845942e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1406 0.9 2.772935e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1407 0.9 2.762728e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1408 0.9 2.786292e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1409 0.9 2.757874e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1410 0.9 2.796807e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1411 0.9 2.754058e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1412 0.9 2.776178e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1413 0.9 2.856402e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1414 0.9 2.804977e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1415 0.9 2.840065e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1416 0.9 2.797621e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1417 0.9 2.752407e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1418 0.9 2.789318e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1419 0.9 2.827065e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1420 0.9 2.807512e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1421 0.9 2.817683e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1422 0.9 2.811334e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1423 0.9 2.791303e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1424 0.9 2.811310e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1425 0.9 2.805839e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1426 0.9 2.840096e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1427 0.9 2.816785e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1428 0.9 2.811553e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1429 0.9 2.800787e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1430 0.9 2.793169e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1431 0.9 2.808060e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1432 0.9 2.801518e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1433 0.9 2.798023e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1434 0.9 2.791159e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1435 0.9 2.756738e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1436 0.9 2.816714e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1437 0.9 2.786909e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1438 0.9 2.788633e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1439 0.9 2.823194e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1440 0.9 2.809471e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1441 0.9 2.802662e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1442 0.9 2.802998e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1443 0.9 2.780641e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1444 0.9 2.775107e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1445 0.9 2.827137e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1446 0.9 2.790456e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1447 0.9 2.766077e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1448 0.9 2.813590e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1449 0.9 2.786796e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1450 0.9 2.785406e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1451 0.9 2.796997e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1452 0.9 2.787326e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1453 0.9 2.799438e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1454 0.9 2.826644e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1455 0.9 2.799043e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1456 0.9 2.799043e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1457 0.9 1.623830e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1458 0.9 1.623830e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1459 0.9 1.838968e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1460 0.9 1.506657e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1461 0.9 1.666742e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1462 0.9 1.911500e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1463 0.9 1.648140e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1464 0.9 1.692320e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1465 0.9 1.692790e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1466 0.9 1.542329e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1467 0.9 1.618448e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1468 0.9 1.496994e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1469 0.9 1.963020e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1470 0.9 2.720190e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1471 0.9 2.812248e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1472 0.9 2.729215e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1473 0.9 2.435075e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1474 0.9 2.281556e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1475 0.9 2.208220e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1476 0.9 2.551581e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1477 0.9 2.485758e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1478 0.9 1.842207e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1479 0.9 1.888727e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1480 0.9 1.740183e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1481 0.9 1.919578e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1482 0.9 1.596648e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1483 0.9 1.738022e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1484 0.9 1.421342e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1485 0.9 1.317629e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1486 0.9 1.492746e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1487 0.9 1.370842e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1488 0.9 1.208389e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1489 0.9 1.653310e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1490 0.9 1.798800e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1491 0.9 1.839203e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1492 0.9 1.531236e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1493 0.9 1.416069e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1494 0.9 1.344052e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1495 0.9 1.167655e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1496 0.9 1.212673e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1497 0.9 1.275824e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1498 0.9 1.325448e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1499 0.9 1.316166e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1500 0.9 1.093063e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1501 0.9 1.070206e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1502 0.9 9.865388e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1503 0.9 1.140933e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1504 0.9 1.178834e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1505 0.9 9.689070e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1506 0.9 1.038851e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1507 0.9 8.510197e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1508 0.9 7.350567e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1509 0.9 7.350567e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1510 0.9 7.835497e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1511 0.9 6.395832e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1512 0.9 5.906217e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1513 0.9 4.427596e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1514 0.9 4.460930e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1515 0.9 5.515089e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1516 0.9 5.159629e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1517 0.9 4.640130e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1518 0.9 5.516545e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1519 0.9 4.673944e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1520 0.9 5.938908e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1521 0.9 5.822056e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1522 0.9 6.596236e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1523 0.9 5.619945e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1524 0.9 4.657636e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1525 0.9 4.605809e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1526 0.9 4.207383e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1527 0.9 4.180086e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1528 0.9 4.306472e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1529 0.9 4.658575e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1530 0.9 4.533739e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1531 0.9 3.643958e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1532 0.9 3.320961e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1533 0.9 3.185326e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1534 0.9 3.563648e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1535 0.9 3.450780e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1536 0.9 4.499231e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1537 0.9 3.807176e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1538 0.9 4.511970e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1539 0.9 4.937829e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1540 0.9 5.601635e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1541 0.9 6.998095e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1542 0.9 5.990292e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1543 0.9 6.941089e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1544 0.9 5.945146e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1545 0.9 6.259448e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1546 0.9 6.077224e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1547 0.9 4.646014e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1548 0.9 3.992540e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1549 0.9 4.173552e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1550 0.9 4.276918e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1551 0.9 3.914007e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1552 0.9 3.277124e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1553 0.9 3.001935e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1554 0.9 2.410174e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1555 0.9 2.453733e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1556 0.9 2.327841e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1557 0.9 2.732675e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1558 0.9 2.988627e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1559 0.9 3.647959e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1560 0.9 3.647959e-05 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1561 0.9 2.023049e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1562 0.9 2.023049e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1563 0.9 5.884736e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1564 0.9 4.625827e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1565 0.9 3.679596e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1566 0.9 3.033385e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1567 0.9 2.864399e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1568 0.9 2.850298e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1569 0.9 2.853729e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1570 0.9 2.832234e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1571 0.9 2.809347e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1572 0.9 2.830091e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1573 0.9 2.818445e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1574 0.9 2.860028e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1575 0.9 2.821527e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1576 0.9 2.836598e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1577 0.9 2.837006e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1578 0.9 2.835655e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1579 0.9 2.842305e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1580 0.9 2.798728e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1581 0.9 2.842843e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1582 0.9 2.814602e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1583 0.9 2.835663e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1584 0.9 2.866316e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1585 0.9 2.859105e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1586 0.9 2.849862e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1587 0.9 2.815452e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1588 0.9 2.830279e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1589 0.9 2.844491e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1590 0.9 2.803916e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1591 0.9 2.809797e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1592 0.9 2.833275e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1593 0.9 2.832057e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1594 0.9 2.834073e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1595 0.9 2.854140e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1596 0.9 2.858801e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1597 0.9 2.859807e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1598 0.9 2.825513e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1599 0.9 2.845124e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1600 0.9 2.847727e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1601 0.9 2.846256e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1602 0.9 2.868541e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1603 0.9 2.856375e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1604 0.9 2.851152e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1605 0.9 2.854342e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1606 0.9 2.823041e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1607 0.9 2.818090e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1608 0.9 2.848740e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1609 0.9 2.808052e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1610 0.9 2.847274e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1611 0.9 2.850540e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1612 0.9 2.883093e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1613 0.9 2.883093e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1614 0.9 2.774417e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1615 0.9 2.784718e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1616 0.9 2.789482e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1617 0.9 2.806007e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1618 0.9 2.779953e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1619 0.9 2.777557e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1620 0.9 2.782241e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1621 0.9 2.814679e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1622 0.9 2.773189e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1623 0.9 2.778860e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1624 0.9 2.786377e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1625 0.9 2.808597e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1626 0.9 2.775700e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1627 0.9 2.823478e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1628 0.9 2.806532e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1629 0.9 2.780300e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1630 0.9 2.819004e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1631 0.9 2.824999e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1632 0.9 2.826064e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1633 0.9 2.808076e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1634 0.9 2.774614e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1635 0.9 2.789149e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1636 0.9 2.795499e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1637 0.9 2.802445e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1638 0.9 2.818459e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1639 0.9 2.793560e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1640 0.9 2.789713e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1641 0.9 2.779575e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1642 0.9 2.780573e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1643 0.9 2.799217e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1644 0.9 2.782520e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1645 0.9 2.789658e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1646 0.9 2.821654e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1647 0.9 2.785969e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1648 0.9 2.797687e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1649 0.9 2.819872e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1650 0.9 2.794876e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1651 0.9 2.793682e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1652 0.9 2.806803e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1653 0.9 2.798868e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1654 0.9 2.798432e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1655 0.9 2.821520e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1656 0.9 2.812618e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1657 0.9 2.822620e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1658 0.9 2.787738e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1659 0.9 2.784037e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1660 0.9 2.813350e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1661 0.9 2.805181e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1662 0.9 2.825901e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1663 0.9 2.800779e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1664 0.9 2.800779e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1665 0.9 1.321559e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1666 0.9 1.321559e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1667 0.9 9.297762e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1668 0.9 1.320743e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1669 0.9 1.152769e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1670 0.9 8.929611e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1671 0.9 9.073134e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1672 0.9 8.111859e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1673 0.9 5.779909e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1674 0.9 5.006308e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1675 0.9 4.063161e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1676 0.9 2.970231e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1677 0.9 3.003051e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1678 0.9 2.949903e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1679 0.9 2.835204e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1680 0.9 2.911684e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1681 0.9 2.816668e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1682 0.9 2.942975e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1683 0.9 2.900181e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1684 0.9 2.876488e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1685 0.9 2.853415e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1686 0.9 2.869383e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1687 0.9 2.871361e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1688 0.9 2.883204e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1689 0.9 2.829449e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1690 0.9 2.815990e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1691 0.9 2.852557e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1692 0.9 2.869706e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1693 0.9 2.824260e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1694 0.9 2.906750e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1695 0.9 2.839270e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1696 0.9 2.852146e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1697 0.9 2.882623e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1698 0.9 2.914765e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1699 0.9 2.881619e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1700 0.9 2.804885e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1701 0.9 2.886280e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1702 0.9 2.882018e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1703 0.9 2.885816e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1704 0.9 2.917630e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1705 0.9 2.768924e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1706 0.9 2.861180e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1707 0.9 2.880935e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1708 0.9 2.891052e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1709 0.9 2.883359e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1710 0.9 2.917957e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1711 0.9 2.904595e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1712 0.9 2.842961e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1713 0.9 2.922280e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1714 0.9 2.895633e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1715 0.9 2.921018e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1716 0.9 2.773524e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1717 0.9 2.773524e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1718 0.9 2.747784e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1719 0.9 2.859317e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1720 0.9 2.791549e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1721 0.9 2.762124e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1722 0.9 2.765840e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1723 0.9 2.769518e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1724 0.9 2.814026e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1725 0.9 2.803265e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1726 0.9 2.755194e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1727 0.9 2.793683e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1728 0.9 2.772877e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1729 0.9 2.869039e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1730 0.9 2.810308e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1731 0.9 2.849371e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1732 0.9 2.878300e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1733 0.9 2.827748e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1734 0.9 2.816200e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1735 0.9 2.780828e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1736 0.9 2.840577e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1737 0.9 2.850669e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1738 0.9 2.767177e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1739 0.9 2.810267e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1740 0.9 2.843730e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1741 0.9 2.848293e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1742 0.9 2.839700e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1743 0.9 2.812535e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1744 0.9 2.762354e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1745 0.9 2.826861e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1746 0.9 2.830758e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1747 0.9 2.827764e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1748 0.9 2.829787e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1749 0.9 2.852757e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1750 0.9 2.803679e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1751 0.9 2.829556e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1752 0.9 2.814666e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1753 0.9 2.777045e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1754 0.9 2.810012e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1755 0.9 2.806514e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1756 0.9 2.776247e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1757 0.9 2.816139e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1758 0.9 2.862035e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1759 0.9 2.819989e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1760 0.9 2.809939e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1761 0.9 2.759527e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1762 0.9 2.825780e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1763 0.9 2.891723e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1764 0.9 2.833618e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1765 0.9 2.874530e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1766 0.9 2.872160e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1767 0.9 2.828447e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1768 0.9 2.828447e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1769 0.9 4.463524e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1770 0.9 4.463524e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1771 0.9 3.938091e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1772 0.9 4.624451e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1773 0.9 3.524160e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1774 0.9 3.055291e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1775 0.9 2.940903e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1776 0.9 2.824964e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1777 0.9 2.847939e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1778 0.9 2.792292e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1779 0.9 2.779444e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1780 0.9 2.782655e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1781 0.9 2.772600e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1782 0.9 2.797781e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1783 0.9 2.798751e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1784 0.9 2.784598e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1785 0.9 2.838907e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1786 0.9 2.815648e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1787 0.9 2.803089e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1788 0.9 2.860467e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1789 0.9 2.816912e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1790 0.9 2.801533e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1791 0.9 2.841697e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1792 0.9 2.821347e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1793 0.9 2.805939e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1794 0.9 2.803726e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1795 0.9 2.824038e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1796 0.9 2.836636e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1797 0.9 2.823674e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1798 0.9 2.809183e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1799 0.9 2.829848e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1800 0.9 2.851339e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1801 0.9 2.852977e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1802 0.9 2.834654e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1803 0.9 2.845254e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1804 0.9 2.833637e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1805 0.9 2.837326e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1806 0.9 2.834191e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1807 0.9 2.856007e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1808 0.9 2.810474e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1809 0.9 2.786711e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1810 0.9 2.799965e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1811 0.9 2.801803e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1812 0.9 2.824235e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1813 0.9 2.838423e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1814 0.9 2.828600e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1815 0.9 2.809451e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1816 0.9 2.823868e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1817 0.9 2.839151e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1818 0.9 2.825875e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1819 0.9 2.810768e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1820 0.9 2.812716e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1821 0.9 2.812716e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1822 0.9 2.742937e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1823 0.9 2.774317e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1824 0.9 2.748191e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1825 0.9 2.811344e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1826 0.9 2.776527e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1827 0.9 2.783843e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1828 0.9 2.760054e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1829 0.9 2.769745e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1830 0.9 2.774726e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1831 0.9 2.798292e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1832 0.9 2.780806e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1833 0.9 2.772192e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1834 0.9 2.757388e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1835 0.9 2.766765e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1836 0.9 2.753140e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1837 0.9 2.772800e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1838 0.9 2.799673e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1839 0.9 2.765588e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1840 0.9 2.798572e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1841 0.9 2.775961e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1842 0.9 2.814378e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1843 0.9 2.810122e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1844 0.9 2.779963e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1845 0.9 2.798201e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1846 0.9 2.762709e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1847 0.9 2.801284e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1848 0.9 2.790761e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1849 0.9 2.762550e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1850 0.9 2.796620e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1851 0.9 2.752022e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1852 0.9 2.764169e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1853 0.9 2.763901e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1854 0.9 2.794183e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1855 0.9 2.806672e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1856 0.9 2.770101e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1857 0.9 2.786473e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1858 0.9 2.772769e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1859 0.9 2.790708e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1860 0.9 2.780888e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1861 0.9 2.754389e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1862 0.9 2.755776e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1863 0.9 2.774534e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1864 0.9 2.792748e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1865 0.9 2.764330e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1866 0.9 2.744491e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1867 0.9 2.771440e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1868 0.9 2.784660e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1869 0.9 2.772715e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1870 0.9 2.777424e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1871 0.9 2.763121e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1872 0.9 2.763121e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1873 0.9 1.199697e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1874 0.9 1.199697e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1875 0.9 9.350838e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1876 0.9 1.906542e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1877 0.9 4.905342e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1878 0.9 9.601500e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1879 0.9 1.055407e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1880 0.9 1.150498e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1881 0.9 1.074983e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1882 0.9 8.793143e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1883 0.9 7.325072e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1884 0.9 6.159143e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1885 0.9 6.294453e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1886 0.9 5.747676e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1887 0.9 6.099929e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1888 0.9 6.010974e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1889 0.9 6.184381e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1890 0.9 6.070476e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1891 0.9 6.583389e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1892 0.9 5.973402e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1893 0.9 5.624477e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1894 0.9 5.319930e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1895 0.9 5.314241e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1896 0.9 5.450910e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1897 0.9 5.421847e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1898 0.9 5.108133e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1899 0.9 5.366611e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1900 0.9 5.357801e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1901 0.9 4.840537e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1902 0.9 4.799846e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1903 0.9 4.584025e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1904 0.9 4.394898e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1905 0.9 4.373507e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1906 0.9 4.144047e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1907 0.9 4.021735e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1908 0.9 3.724041e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1909 0.9 3.371124e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1910 0.9 3.672404e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1911 0.9 3.529697e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1912 0.9 3.875365e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1913 0.9 3.656491e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1914 0.9 3.438224e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1915 0.9 3.297780e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1916 0.9 3.214598e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1917 0.9 3.277936e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1918 0.9 3.205724e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1919 0.9 3.097686e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1920 0.9 3.077447e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1921 0.9 3.064462e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1922 0.9 3.054190e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1923 0.9 3.100751e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1924 0.9 3.069081e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1925 0.9 3.069081e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1926 0.9 2.932420e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1927 0.9 2.986840e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1928 0.9 2.996467e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1929 0.9 3.115446e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1930 0.9 2.977163e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1931 0.9 2.989362e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1932 0.9 2.992259e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1933 0.9 3.021928e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1934 0.9 2.985203e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1935 0.9 2.967012e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1936 0.9 2.962655e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1937 0.9 2.984746e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1938 0.9 2.998390e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1939 0.9 2.984269e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1940 0.9 3.000197e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1941 0.9 2.976345e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1942 0.9 2.962432e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1943 0.9 3.049063e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1944 0.9 2.990019e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1945 0.9 2.922958e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1946 0.9 2.942953e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1947 0.9 3.007827e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1948 0.9 2.960281e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1949 0.9 2.953072e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1950 0.9 2.997463e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1951 0.9 2.946280e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1952 0.9 2.969330e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1953 0.9 2.949247e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1954 0.9 2.985340e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1955 0.9 2.972025e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1956 0.9 2.983137e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1957 0.9 3.074718e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1958 0.9 3.031732e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1959 0.9 3.048766e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1960 0.9 3.061837e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1961 0.9 3.064059e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1962 0.9 3.038207e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1963 0.9 3.001625e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1964 0.9 3.017917e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1965 0.9 3.004844e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1966 0.9 3.072008e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1967 0.9 3.059378e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1968 0.9 3.055277e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1969 0.9 2.899309e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1970 0.9 3.081103e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1971 0.9 3.093391e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1972 0.9 3.091284e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1973 0.9 3.042010e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1974 0.9 3.063645e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1975 0.9 3.041396e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1976 0.9 3.041396e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1977 0.9 2.635899e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1978 0.9 2.635899e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1979 0.9 3.538251e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1980 0.9 3.387651e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1981 0.9 2.939730e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1982 0.9 2.912063e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1983 0.9 2.804722e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1984 0.9 2.777759e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1985 0.9 2.825863e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1986 0.9 2.841830e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1987 0.9 2.838358e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1988 0.9 2.827782e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1989 0.9 2.817257e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1990 0.9 2.797967e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1991 0.9 2.792510e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1992 0.9 2.807650e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1993 0.9 2.804995e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1994 0.9 2.806191e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1995 0.9 2.828222e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1996 0.9 2.795651e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1997 0.9 2.814327e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1998 0.9 2.839742e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1999 0.9 2.797219e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2000 0.9 2.827578e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2001 0.9 2.817702e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2002 0.9 2.822248e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2003 0.9 2.860000e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2004 0.9 2.859706e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2005 0.9 2.831242e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2006 0.9 2.803976e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2007 0.9 2.793466e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2008 0.9 2.795031e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2009 0.9 2.827943e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2010 0.9 2.802254e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2011 0.9 2.797793e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2012 0.9 2.769545e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2013 0.9 2.768122e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2014 0.9 2.799197e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2015 0.9 2.845003e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2016 0.9 2.809217e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2017 0.9 2.811949e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2018 0.9 2.823794e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2019 0.9 2.800207e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2020 0.9 2.813417e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2021 0.9 2.811255e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2022 0.9 2.828989e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2023 0.9 2.830597e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2024 0.9 2.820526e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2025 0.9 2.822733e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2026 0.9 2.815170e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2027 0.9 2.836549e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2028 0.9 2.819716e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2029 0.9 2.819716e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2030 0.9 2.744796e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2031 0.9 2.779833e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2032 0.9 2.811345e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2033 0.9 2.771907e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2034 0.9 2.799210e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2035 0.9 2.807696e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2036 0.9 2.759778e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2037 0.9 2.760670e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2038 0.9 2.815121e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2039 0.9 2.836284e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2040 0.9 2.795883e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2041 0.9 2.785751e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2042 0.9 2.778585e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2043 0.9 2.744063e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2044 0.9 2.753486e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2045 0.9 2.803826e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2046 0.9 2.816775e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2047 0.9 2.804620e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2048 0.9 2.735901e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2049 0.9 2.792862e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2050 0.9 2.778440e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2051 0.9 2.827109e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2052 0.9 2.784592e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2053 0.9 2.777078e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2054 0.9 2.806319e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2055 0.9 2.772044e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2056 0.9 2.818191e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2057 0.9 2.782388e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2058 0.9 2.795119e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2059 0.9 2.775494e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2060 0.9 2.782563e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2061 0.9 2.822525e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2062 0.9 2.810469e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2063 0.9 2.804436e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2064 0.9 2.793182e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2065 0.9 2.802897e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2066 0.9 2.797128e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2067 0.9 2.806785e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2068 0.9 2.788472e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2069 0.9 2.757961e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2070 0.9 2.784693e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2071 0.9 2.791451e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2072 0.9 2.776652e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2073 0.9 2.794786e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2074 0.9 2.800812e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2075 0.9 2.822296e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2076 0.9 2.774647e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2077 0.9 2.791680e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2078 0.9 2.788260e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2079 0.9 2.806180e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2080 0.9 2.806180e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2081 0.9 4.896291e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2082 0.9 4.896291e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2083 0.9 8.811465e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2084 0.9 1.074160e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2085 0.9 9.178174e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2086 0.9 5.857640e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2087 0.9 3.934320e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2088 0.9 2.883475e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2089 0.9 2.931581e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2090 0.9 2.905612e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2091 0.9 2.900200e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2092 0.9 2.898640e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2093 0.9 2.890691e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2094 0.9 2.875336e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2095 0.9 2.906086e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2096 0.9 2.902821e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2097 0.9 2.912278e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2098 0.9 2.887954e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2099 0.9 2.861024e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2100 0.9 2.877330e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2101 0.9 2.907035e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2102 0.9 2.883021e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2103 0.9 2.920333e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2104 0.9 2.908318e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2105 0.9 2.868989e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2106 0.9 2.888137e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2107 0.9 2.894868e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2108 0.9 2.883371e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2109 0.9 2.893108e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2110 0.9 2.884490e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2111 0.9 2.926107e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2112 0.9 2.919754e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2113 0.9 2.883141e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2114 0.9 2.896128e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2115 0.9 2.873036e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2116 0.9 2.902977e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2117 0.9 2.871129e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2118 0.9 2.879346e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2119 0.9 2.850811e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2120 0.9 2.894136e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2121 0.9 2.894758e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2122 0.9 2.911707e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2123 0.9 2.924643e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2124 0.9 2.922029e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2125 0.9 2.908172e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2126 0.9 2.911075e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2127 0.9 2.918796e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2128 0.9 2.917310e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2129 0.9 2.886948e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2130 0.9 2.901041e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2131 0.9 2.882680e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2132 0.9 2.916862e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2133 0.9 2.916862e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2134 0.9 2.811547e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2135 0.9 2.839167e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2136 0.9 2.829288e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2137 0.9 2.810235e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2138 0.9 2.830564e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2139 0.9 2.851142e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2140 0.9 2.853114e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2141 0.9 2.864424e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2142 0.9 2.834685e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2143 0.9 2.822180e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2144 0.9 2.838841e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2145 0.9 2.832889e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2146 0.9 2.836156e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2147 0.9 2.872633e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2148 0.9 2.868201e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2149 0.9 2.881564e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2150 0.9 2.826179e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2151 0.9 2.847228e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2152 0.9 2.861831e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2153 0.9 2.850358e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2154 0.9 2.851562e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2155 0.9 2.891469e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2156 0.9 2.872827e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2157 0.9 2.884198e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2158 0.9 2.872910e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2159 0.9 2.872534e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2160 0.9 2.861837e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2161 0.9 2.873242e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2162 0.9 2.840984e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2163 0.9 2.823916e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2164 0.9 2.850260e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2165 0.9 2.815157e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2166 0.9 2.868196e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2167 0.9 2.861303e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2168 0.9 2.870890e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2169 0.9 2.865648e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2170 0.9 2.899092e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2171 0.9 2.885808e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2172 0.9 2.862725e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2173 0.9 2.882410e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2174 0.9 2.884727e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2175 0.9 2.868170e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2176 0.9 2.889247e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2177 0.9 2.881184e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2178 0.9 2.861985e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2179 0.9 2.871856e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2180 0.9 2.866020e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2181 0.9 2.879971e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2182 0.9 2.884599e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2183 0.9 2.901415e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2184 0.9 2.901415e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2185 0.9 4.330305e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2186 0.9 4.330305e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2187 0.9 7.523553e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2188 0.9 5.551187e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2189 0.9 5.994512e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2190 0.9 4.306487e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2191 0.9 3.192735e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2192 0.9 2.928743e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2193 0.9 2.846520e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2194 0.9 2.848752e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2195 0.9 2.838016e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2196 0.9 2.858347e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2197 0.9 2.928809e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2198 0.9 2.873821e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2199 0.9 2.881405e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2200 0.9 2.857923e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2201 0.9 2.881154e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2202 0.9 2.918372e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2203 0.9 2.889951e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2204 0.9 2.887567e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2205 0.9 2.898665e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2206 0.9 2.849043e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2207 0.9 2.834013e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2208 0.9 2.867549e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2209 0.9 2.869608e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2210 0.9 2.901459e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2211 0.9 2.923044e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2212 0.9 2.880243e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2213 0.9 2.904413e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2214 0.9 2.892874e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2215 0.9 2.902507e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2216 0.9 2.890000e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2217 0.9 2.877454e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2218 0.9 2.851295e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2219 0.9 2.875683e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2220 0.9 2.898802e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2221 0.9 2.861712e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2222 0.9 2.880377e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2223 0.9 2.876587e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2224 0.9 2.845223e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2225 0.9 2.868193e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2226 0.9 2.886229e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2227 0.9 2.960061e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2228 0.9 2.920587e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2229 0.9 2.902336e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2230 0.9 2.852826e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2231 0.9 2.892478e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2232 0.9 2.896334e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2233 0.9 2.912393e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2234 0.9 2.900778e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2235 0.9 2.892871e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2236 0.9 2.928665e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2237 0.9 2.928665e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2238 0.9 2.783023e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2239 0.9 2.807899e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2240 0.9 2.804712e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2241 0.9 2.794645e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2242 0.9 2.827119e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2243 0.9 2.819961e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2244 0.9 2.830018e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2245 0.9 2.832050e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2246 0.9 2.838470e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2247 0.9 2.829786e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2248 0.9 2.799919e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2249 0.9 2.880512e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2250 0.9 2.848548e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2251 0.9 2.839933e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2252 0.9 2.822199e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2253 0.9 2.838522e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2254 0.9 2.853215e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2255 0.9 2.831299e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2256 0.9 2.797124e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2257 0.9 2.819487e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2258 0.9 2.825715e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2259 0.9 2.841809e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2260 0.9 2.821877e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2261 0.9 2.803480e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2262 0.9 2.828965e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2263 0.9 2.831995e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2264 0.9 2.805975e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2265 0.9 2.829785e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2266 0.9 2.889986e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2267 0.9 2.875163e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2268 0.9 2.856841e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2269 0.9 2.843828e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2270 0.9 2.850257e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2271 0.9 2.837114e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2272 0.9 2.838613e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2273 0.9 2.836125e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2274 0.9 2.847539e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2275 0.9 2.877193e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2276 0.9 2.852989e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2277 0.9 2.846635e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2278 0.9 2.880861e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2279 0.9 2.860460e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2280 0.9 2.841948e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2281 0.9 2.835395e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2282 0.9 2.895891e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2283 0.9 2.844656e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2284 0.9 2.863689e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2285 0.9 2.867272e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2286 0.9 2.843857e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2287 0.9 2.875308e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2288 0.9 2.875308e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2289 0.9 7.070759e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2290 0.9 7.070759e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2291 0.9 5.973130e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2292 0.9 9.114263e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2293 0.9 6.902472e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2294 0.9 4.460694e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2295 0.9 4.958303e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2296 0.9 5.077447e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2297 0.9 4.250083e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2298 0.9 3.781233e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2299 0.9 3.348818e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2300 0.9 2.967470e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2301 0.9 2.912989e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2302 0.9 2.963053e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2303 0.9 2.885874e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2304 0.9 2.887114e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2305 0.9 2.900791e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2306 0.9 2.944231e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2307 0.9 2.945406e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2308 0.9 2.979610e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2309 0.9 2.930927e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2310 0.9 2.845820e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2311 0.9 2.922354e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2312 0.9 2.876396e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2313 0.9 2.825994e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2314 0.9 2.804584e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2315 0.9 2.857576e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2316 0.9 2.922611e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2317 0.9 2.837357e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2318 0.9 2.891008e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2319 0.9 2.828696e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2320 0.9 2.845665e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2321 0.9 2.818657e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2322 0.9 2.849572e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2323 0.9 2.816976e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2324 0.9 2.793029e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2325 0.9 2.831229e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2326 0.9 2.896292e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2327 0.9 2.944001e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2328 0.9 2.946101e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2329 0.9 2.867758e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2330 0.9 2.894778e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2331 0.9 2.845053e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2332 0.9 2.841326e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2333 0.9 2.868290e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2334 0.9 2.943763e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2335 0.9 2.904472e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2336 0.9 2.915355e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2337 0.9 2.866564e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2338 0.9 2.858595e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2339 0.9 2.849275e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2340 0.9 2.855658e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2341 0.9 2.855658e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2342 0.9 2.788876e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2343 0.9 2.797195e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2344 0.9 2.825839e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2345 0.9 2.838151e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2346 0.9 2.785643e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2347 0.9 2.800713e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2348 0.9 2.841468e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2349 0.9 2.809941e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2350 0.9 2.809408e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2351 0.9 2.841700e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2352 0.9 2.837007e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2353 0.9 2.798015e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2354 0.9 2.872813e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2355 0.9 2.819985e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2356 0.9 2.805915e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2357 0.9 2.913059e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2358 0.9 2.839814e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2359 0.9 2.851021e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2360 0.9 2.865803e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2361 0.9 2.849677e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2362 0.9 2.819681e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2363 0.9 2.846626e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2364 0.9 2.777743e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2365 0.9 2.826927e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2366 0.9 2.912239e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2367 0.9 2.876702e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2368 0.9 2.934771e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2369 0.9 2.932900e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2370 0.9 2.871453e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2371 0.9 2.923521e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2372 0.9 2.828519e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2373 0.9 2.824062e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2374 0.9 2.793749e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2375 0.9 2.858664e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2376 0.9 2.832628e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2377 0.9 2.827473e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2378 0.9 2.858523e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2379 0.9 2.900265e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2380 0.9 2.870494e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2381 0.9 2.892854e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2382 0.9 2.795745e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2383 0.9 2.816632e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2384 0.9 2.863373e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2385 0.9 2.849248e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2386 0.9 2.870756e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2387 0.9 2.799198e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2388 0.9 2.869337e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2389 0.9 2.849414e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2390 0.9 2.871770e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2391 0.9 2.882350e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2392 0.9 2.882350e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2393 0.9 4.577659e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2394 0.9 4.577659e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2395 0.9 2.188274e+01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2396 0.9 4.155616e+01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2397 0.9 1.959830e+01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2398 0.9 5.305740e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2399 0.9 1.586470e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2400 0.9 6.591776e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2401 0.9 4.483622e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2402 0.9 3.204456e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2403 0.9 2.886391e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2404 0.9 2.780500e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2405 0.9 2.807470e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2406 0.9 2.785636e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2407 0.9 2.784253e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2408 0.9 2.817199e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2409 0.9 2.788295e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2410 0.9 2.801095e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2411 0.9 2.796052e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2412 0.9 2.778580e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2413 0.9 2.754161e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2414 0.9 2.787668e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2415 0.9 2.793444e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2416 0.9 2.792550e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2417 0.9 2.784234e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2418 0.9 2.753540e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2419 0.9 2.779382e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2420 0.9 2.766491e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2421 0.9 2.777225e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2422 0.9 2.795027e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2423 0.9 2.796180e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2424 0.9 2.792582e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2425 0.9 2.792690e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2426 0.9 2.775622e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2427 0.9 2.785056e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2428 0.9 2.777458e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2429 0.9 2.804060e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2430 0.9 2.816777e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2431 0.9 2.803453e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2432 0.9 2.804142e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2433 0.9 2.768463e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2434 0.9 2.796404e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2435 0.9 2.781489e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2436 0.9 2.795856e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2437 0.9 2.805217e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2438 0.9 2.776199e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2439 0.9 2.797098e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2440 0.9 2.801910e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2441 0.9 2.766239e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2442 0.9 2.776754e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2443 0.9 2.795409e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2444 0.9 2.831566e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2445 0.9 2.831566e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2446 0.9 2.740862e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2447 0.9 2.767777e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2448 0.9 2.767728e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2449 0.9 2.740689e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2450 0.9 2.745603e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2451 0.9 2.741754e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2452 0.9 2.733809e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2453 0.9 2.737491e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2454 0.9 2.793391e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2455 0.9 2.786355e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2456 0.9 2.749352e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2457 0.9 2.725668e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2458 0.9 2.779716e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2459 0.9 2.751724e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2460 0.9 2.759533e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2461 0.9 2.768000e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2462 0.9 2.768350e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2463 0.9 2.749696e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2464 0.9 2.767154e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2465 0.9 2.757962e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2466 0.9 2.771949e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2467 0.9 2.741678e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2468 0.9 2.746916e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2469 0.9 2.706154e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2470 0.9 2.724875e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2471 0.9 2.789160e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2472 0.9 2.725383e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2473 0.9 2.762297e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2474 0.9 2.725065e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2475 0.9 2.741031e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2476 0.9 2.747770e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2477 0.9 2.767236e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2478 0.9 2.775736e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2479 0.9 2.727964e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2480 0.9 2.751474e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2481 0.9 2.725181e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2482 0.9 2.761309e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2483 0.9 2.771723e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2484 0.9 2.735860e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2485 0.9 2.749819e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2486 0.9 2.759843e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2487 0.9 2.767742e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2488 0.9 2.752858e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2489 0.9 2.766140e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2490 0.9 2.745553e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2491 0.9 2.768827e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2492 0.9 2.763030e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2493 0.9 2.747227e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2494 0.9 2.748102e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2495 0.9 2.758622e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2496 0.9 2.758622e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2497 0.9 4.546309e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2498 0.9 4.546309e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2499 0.9 7.873045e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2500 0.9 1.076206e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2501 0.9 1.154814e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2502 0.9 9.337726e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2503 0.9 7.217951e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2504 0.9 6.601194e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2505 0.9 6.907232e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2506 0.9 6.677134e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2507 0.9 6.487808e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2508 0.9 6.422526e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2509 0.9 6.157956e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2510 0.9 6.183306e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2511 0.9 6.329507e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2512 0.9 5.862961e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2513 0.9 5.761766e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2514 0.9 5.879032e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2515 0.9 5.483638e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2516 0.9 5.140172e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2517 0.9 5.176174e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2518 0.9 4.948062e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2519 0.9 4.890155e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2520 0.9 4.672480e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2521 0.9 4.399309e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2522 0.9 4.371204e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2523 0.9 4.322331e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2524 0.9 4.074788e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2525 0.9 3.804919e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2526 0.9 3.547910e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2527 0.9 3.514635e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2528 0.9 3.429994e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2529 0.9 3.316000e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2530 0.9 3.204832e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2531 0.9 3.148200e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2532 0.9 3.165670e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2533 0.9 3.308361e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2534 0.9 3.295135e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2535 0.9 3.238102e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2536 0.9 3.282489e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2537 0.9 3.239765e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2538 0.9 3.196231e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2539 0.9 3.194697e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2540 0.9 3.156315e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2541 0.9 3.061595e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2542 0.9 3.207099e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2543 0.9 3.180906e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2544 0.9 3.225267e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2545 0.9 3.185546e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2546 0.9 3.204882e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2547 0.9 3.173678e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2548 0.9 3.187887e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2549 0.9 3.187887e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2550 0.9 3.049853e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2551 0.9 3.098495e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2552 0.9 3.006775e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2553 0.9 3.085943e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2554 0.9 3.173723e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2555 0.9 3.096500e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2556 0.9 3.144703e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2557 0.9 3.186669e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2558 0.9 3.121644e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2559 0.9 3.055718e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2560 0.9 3.112912e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2561 0.9 3.039940e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2562 0.9 3.117981e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2563 0.9 3.142146e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2564 0.9 3.149740e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2565 0.9 3.135924e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2566 0.9 3.126152e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2567 0.9 3.110202e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2568 0.9 3.047390e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2569 0.9 3.193311e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2570 0.9 3.142841e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2571 0.9 3.148385e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2572 0.9 3.174566e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2573 0.9 3.168926e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2574 0.9 3.230211e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2575 0.9 3.223446e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2576 0.9 3.211898e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2577 0.9 3.165542e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2578 0.9 3.276463e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2579 0.9 3.229170e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2580 0.9 3.147340e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2581 0.9 3.256216e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2582 0.9 3.184646e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2583 0.9 3.271636e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2584 0.9 3.144669e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2585 0.9 3.207308e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2586 0.9 3.237937e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2587 0.9 3.233967e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2588 0.9 3.268349e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2589 0.9 3.198770e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2590 0.9 3.138356e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2591 0.9 3.198646e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2592 0.9 3.128423e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2593 0.9 3.227049e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2594 0.9 3.187036e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2595 0.9 3.251034e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2596 0.9 3.160315e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2597 0.9 3.225007e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2598 0.9 3.270913e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2599 0.9 3.109396e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2600 0.9 3.109396e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2601 0.9 2.792921e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2602 0.9 2.792921e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2603 0.9 3.731684e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2604 0.9 4.355569e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2605 0.9 3.584844e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2606 0.9 2.842229e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2607 0.9 2.793000e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2608 0.9 2.786381e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2609 0.9 2.785922e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2610 0.9 2.773397e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2611 0.9 2.765682e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2612 0.9 2.844112e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2613 0.9 2.814691e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2614 0.9 2.793396e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2615 0.9 2.788031e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2616 0.9 2.786286e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2617 0.9 2.779552e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2618 0.9 2.789717e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2619 0.9 2.803414e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2620 0.9 2.813548e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2621 0.9 2.807505e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2622 0.9 2.772345e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2623 0.9 2.785982e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2624 0.9 2.815285e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2625 0.9 2.777224e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2626 0.9 2.780595e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2627 0.9 2.788121e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2628 0.9 2.759120e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2629 0.9 2.790424e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2630 0.9 2.790753e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2631 0.9 2.799074e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2632 0.9 2.816640e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2633 0.9 2.822130e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2634 0.9 2.843797e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2635 0.9 2.818923e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2636 0.9 2.802087e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2637 0.9 2.812528e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2638 0.9 2.809892e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2639 0.9 2.795343e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2640 0.9 2.794456e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2641 0.9 2.828761e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2642 0.9 2.824563e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2643 0.9 2.805257e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2644 0.9 2.802670e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2645 0.9 2.814553e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2646 0.9 2.831807e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2647 0.9 2.831630e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2648 0.9 2.834634e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2649 0.9 2.799021e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2650 0.9 2.793852e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2651 0.9 2.832733e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2652 0.9 2.819968e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2653 0.9 2.819968e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2654 0.9 2.746442e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2655 0.9 2.756937e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2656 0.9 2.794868e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2657 0.9 2.752157e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2658 0.9 2.790584e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2659 0.9 2.757701e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2660 0.9 2.763315e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2661 0.9 2.798396e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2662 0.9 2.783581e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2663 0.9 2.788962e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2664 0.9 2.809514e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2665 0.9 2.811319e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2666 0.9 2.793341e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2667 0.9 2.783164e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2668 0.9 2.772363e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2669 0.9 2.810687e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2670 0.9 2.815130e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2671 0.9 2.788514e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2672 0.9 2.776434e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2673 0.9 2.803150e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2674 0.9 2.809581e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2675 0.9 2.796089e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2676 0.9 2.765324e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2677 0.9 2.780771e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2678 0.9 2.774616e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2679 0.9 2.798420e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2680 0.9 2.787606e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2681 0.9 2.783778e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2682 0.9 2.790520e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2683 0.9 2.799130e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2684 0.9 2.774861e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2685 0.9 2.755453e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2686 0.9 2.792589e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2687 0.9 2.799409e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2688 0.9 2.781700e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2689 0.9 2.766329e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2690 0.9 2.790672e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2691 0.9 2.804985e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2692 0.9 2.806837e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2693 0.9 2.792426e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2694 0.9 2.806509e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2695 0.9 2.825301e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2696 0.9 2.808917e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2697 0.9 2.817790e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2698 0.9 2.810923e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2699 0.9 2.776406e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2700 0.9 2.758962e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2701 0.9 2.775257e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2702 0.9 2.802509e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## g_F sigma_epsilon G_w_y_scaling msg iter_num
## 1 0.1162005 109.1121 0.162 start 3
## 2 0.1162005 109.1121 0.162 first_trace 3
## 3 0.1162005 109.1121 0.162 first_trace 3
## 4 0.1162005 109.1121 0.162 first_trace 3
## 5 0.1162005 109.1121 0.162 first_trace 3
## 6 0.1162005 109.1121 0.162 first_trace 3
## 7 0.1162005 109.1121 0.162 first_trace 3
## 8 0.1162005 109.1121 0.162 first_trace 3
## 9 0.1162005 109.1121 0.162 first_trace 3
## 10 0.1162005 109.1121 0.162 first_trace 3
## 11 0.1162005 109.1121 0.162 first_trace 3
## 12 0.1162005 109.1121 0.162 first_trace 3
## 13 0.1162005 109.1121 0.162 first_trace 3
## 14 0.1162005 109.1121 0.162 first_trace 3
## 15 0.1162005 109.1121 0.162 first_trace 3
## 16 0.1162005 109.1121 0.162 first_trace 3
## 17 0.1162005 109.1121 0.162 first_trace 3
## 18 0.1162005 109.1121 0.162 first_trace 3
## 19 0.1162005 109.1121 0.162 first_trace 3
## 20 0.1162005 109.1121 0.162 first_trace 3
## 21 0.1162005 109.1121 0.162 first_trace 3
## 22 0.1162005 109.1121 0.162 first_trace 3
## 23 0.1162005 109.1121 0.162 first_trace 3
## 24 0.1162005 109.1121 0.162 first_trace 3
## 25 0.1162005 109.1121 0.162 first_trace 3
## 26 0.1162005 109.1121 0.162 first_trace 3
## 27 0.1162005 109.1121 0.162 first_trace 3
## 28 0.1162005 109.1121 0.162 first_trace 3
## 29 0.1162005 109.1121 0.162 first_trace 3
## 30 0.1162005 109.1121 0.162 first_trace 3
## 31 0.1162005 109.1121 0.162 first_trace 3
## 32 0.1162005 109.1121 0.162 first_trace 3
## 33 0.1162005 109.1121 0.162 first_trace 3
## 34 0.1162005 109.1121 0.162 first_trace 3
## 35 0.1162005 109.1121 0.162 first_trace 3
## 36 0.1162005 109.1121 0.162 first_trace 3
## 37 0.1162005 109.1121 0.162 first_trace 3
## 38 0.1162005 109.1121 0.162 first_trace 3
## 39 0.1162005 109.1121 0.162 first_trace 3
## 40 0.1162005 109.1121 0.162 first_trace 3
## 41 0.1162005 109.1121 0.162 first_trace 3
## 42 0.1162005 109.1121 0.162 first_trace 3
## 43 0.1162005 109.1121 0.162 first_trace 3
## 44 0.1162005 109.1121 0.162 first_trace 3
## 45 0.1162005 109.1121 0.162 first_trace 3
## 46 0.1162005 109.1121 0.162 first_trace 3
## 47 0.1162005 109.1121 0.162 first_trace 3
## 48 0.1162005 109.1121 0.162 first_trace 3
## 49 0.1162005 109.1121 0.162 first_trace 3
## 50 0.1162005 109.1121 0.162 first_trace 3
## 51 0.1162005 109.1121 0.162 first_trace 3
## 52 0.1162005 109.1121 0.162 first_trace 3
## 53 0.1162005 109.1121 0.162 second_trace 3
## 54 0.1162005 109.1121 0.162 second_trace 3
## 55 0.1162005 109.1121 0.162 second_trace 3
## 56 0.1162005 109.1121 0.162 second_trace 3
## 57 0.1162005 109.1121 0.162 second_trace 3
## 58 0.1162005 109.1121 0.162 second_trace 3
## 59 0.1162005 109.1121 0.162 second_trace 3
## 60 0.1162005 109.1121 0.162 second_trace 3
## 61 0.1162005 109.1121 0.162 second_trace 3
## 62 0.1162005 109.1121 0.162 second_trace 3
## 63 0.1162005 109.1121 0.162 second_trace 3
## 64 0.1162005 109.1121 0.162 second_trace 3
## 65 0.1162005 109.1121 0.162 second_trace 3
## 66 0.1162005 109.1121 0.162 second_trace 3
## 67 0.1162005 109.1121 0.162 second_trace 3
## 68 0.1162005 109.1121 0.162 second_trace 3
## 69 0.1162005 109.1121 0.162 second_trace 3
## 70 0.1162005 109.1121 0.162 second_trace 3
## 71 0.1162005 109.1121 0.162 second_trace 3
## 72 0.1162005 109.1121 0.162 second_trace 3
## 73 0.1162005 109.1121 0.162 second_trace 3
## 74 0.1162005 109.1121 0.162 second_trace 3
## 75 0.1162005 109.1121 0.162 second_trace 3
## 76 0.1162005 109.1121 0.162 second_trace 3
## 77 0.1162005 109.1121 0.162 second_trace 3
## 78 0.1162005 109.1121 0.162 second_trace 3
## 79 0.1162005 109.1121 0.162 second_trace 3
## 80 0.1162005 109.1121 0.162 second_trace 3
## 81 0.1162005 109.1121 0.162 second_trace 3
## 82 0.1162005 109.1121 0.162 second_trace 3
## 83 0.1162005 109.1121 0.162 second_trace 3
## 84 0.1162005 109.1121 0.162 second_trace 3
## 85 0.1162005 109.1121 0.162 second_trace 3
## 86 0.1162005 109.1121 0.162 second_trace 3
## 87 0.1162005 109.1121 0.162 second_trace 3
## 88 0.1162005 109.1121 0.162 second_trace 3
## 89 0.1162005 109.1121 0.162 second_trace 3
## 90 0.1162005 109.1121 0.162 second_trace 3
## 91 0.1162005 109.1121 0.162 second_trace 3
## 92 0.1162005 109.1121 0.162 second_trace 3
## 93 0.1162005 109.1121 0.162 second_trace 3
## 94 0.1162005 109.1121 0.162 second_trace 3
## 95 0.1162005 109.1121 0.162 second_trace 3
## 96 0.1162005 109.1121 0.162 second_trace 3
## 97 0.1162005 109.1121 0.162 second_trace 3
## 98 0.1162005 109.1121 0.162 second_trace 3
## 99 0.1162005 109.1121 0.162 second_trace 3
## 100 0.1162005 109.1121 0.162 second_trace 3
## 101 0.1162005 109.1121 0.162 second_trace 3
## 102 0.1162005 109.1121 0.162 second_trace 3
## 103 0.1162005 109.1121 0.162 second_trace 3
## 104 0.1162005 109.1121 0.162 mif1 3
## 105 0.1162005 109.1121 0.162 start 3
## 106 0.1162005 109.1121 0.162 first_trace 3
## 107 0.1162005 109.1121 0.162 first_trace 3
## 108 0.1162005 109.1121 0.162 first_trace 3
## 109 0.1162005 109.1121 0.162 first_trace 3
## 110 0.1162005 109.1121 0.162 first_trace 3
## 111 0.1162005 109.1121 0.162 first_trace 3
## 112 0.1162005 109.1121 0.162 first_trace 3
## 113 0.1162005 109.1121 0.162 first_trace 3
## 114 0.1162005 109.1121 0.162 first_trace 3
## 115 0.1162005 109.1121 0.162 first_trace 3
## 116 0.1162005 109.1121 0.162 first_trace 3
## 117 0.1162005 109.1121 0.162 first_trace 3
## 118 0.1162005 109.1121 0.162 first_trace 3
## 119 0.1162005 109.1121 0.162 first_trace 3
## 120 0.1162005 109.1121 0.162 first_trace 3
## 121 0.1162005 109.1121 0.162 first_trace 3
## 122 0.1162005 109.1121 0.162 first_trace 3
## 123 0.1162005 109.1121 0.162 first_trace 3
## 124 0.1162005 109.1121 0.162 first_trace 3
## 125 0.1162005 109.1121 0.162 first_trace 3
## 126 0.1162005 109.1121 0.162 first_trace 3
## 127 0.1162005 109.1121 0.162 first_trace 3
## 128 0.1162005 109.1121 0.162 first_trace 3
## 129 0.1162005 109.1121 0.162 first_trace 3
## 130 0.1162005 109.1121 0.162 first_trace 3
## 131 0.1162005 109.1121 0.162 first_trace 3
## 132 0.1162005 109.1121 0.162 first_trace 3
## 133 0.1162005 109.1121 0.162 first_trace 3
## 134 0.1162005 109.1121 0.162 first_trace 3
## 135 0.1162005 109.1121 0.162 first_trace 3
## 136 0.1162005 109.1121 0.162 first_trace 3
## 137 0.1162005 109.1121 0.162 first_trace 3
## 138 0.1162005 109.1121 0.162 first_trace 3
## 139 0.1162005 109.1121 0.162 first_trace 3
## 140 0.1162005 109.1121 0.162 first_trace 3
## 141 0.1162005 109.1121 0.162 first_trace 3
## 142 0.1162005 109.1121 0.162 first_trace 3
## 143 0.1162005 109.1121 0.162 first_trace 3
## 144 0.1162005 109.1121 0.162 first_trace 3
## 145 0.1162005 109.1121 0.162 first_trace 3
## 146 0.1162005 109.1121 0.162 first_trace 3
## 147 0.1162005 109.1121 0.162 first_trace 3
## 148 0.1162005 109.1121 0.162 first_trace 3
## 149 0.1162005 109.1121 0.162 first_trace 3
## 150 0.1162005 109.1121 0.162 first_trace 3
## 151 0.1162005 109.1121 0.162 first_trace 3
## 152 0.1162005 109.1121 0.162 first_trace 3
## 153 0.1162005 109.1121 0.162 first_trace 3
## 154 0.1162005 109.1121 0.162 first_trace 3
## 155 0.1162005 109.1121 0.162 first_trace 3
## 156 0.1162005 109.1121 0.162 first_trace 3
## 157 0.1162005 109.1121 0.162 second_trace 3
## 158 0.1162005 109.1121 0.162 second_trace 3
## 159 0.1162005 109.1121 0.162 second_trace 3
## 160 0.1162005 109.1121 0.162 second_trace 3
## 161 0.1162005 109.1121 0.162 second_trace 3
## 162 0.1162005 109.1121 0.162 second_trace 3
## 163 0.1162005 109.1121 0.162 second_trace 3
## 164 0.1162005 109.1121 0.162 second_trace 3
## 165 0.1162005 109.1121 0.162 second_trace 3
## 166 0.1162005 109.1121 0.162 second_trace 3
## 167 0.1162005 109.1121 0.162 second_trace 3
## 168 0.1162005 109.1121 0.162 second_trace 3
## 169 0.1162005 109.1121 0.162 second_trace 3
## 170 0.1162005 109.1121 0.162 second_trace 3
## 171 0.1162005 109.1121 0.162 second_trace 3
## 172 0.1162005 109.1121 0.162 second_trace 3
## 173 0.1162005 109.1121 0.162 second_trace 3
## 174 0.1162005 109.1121 0.162 second_trace 3
## 175 0.1162005 109.1121 0.162 second_trace 3
## 176 0.1162005 109.1121 0.162 second_trace 3
## 177 0.1162005 109.1121 0.162 second_trace 3
## 178 0.1162005 109.1121 0.162 second_trace 3
## 179 0.1162005 109.1121 0.162 second_trace 3
## 180 0.1162005 109.1121 0.162 second_trace 3
## 181 0.1162005 109.1121 0.162 second_trace 3
## 182 0.1162005 109.1121 0.162 second_trace 3
## 183 0.1162005 109.1121 0.162 second_trace 3
## 184 0.1162005 109.1121 0.162 second_trace 3
## 185 0.1162005 109.1121 0.162 second_trace 3
## 186 0.1162005 109.1121 0.162 second_trace 3
## 187 0.1162005 109.1121 0.162 second_trace 3
## 188 0.1162005 109.1121 0.162 second_trace 3
## 189 0.1162005 109.1121 0.162 second_trace 3
## 190 0.1162005 109.1121 0.162 second_trace 3
## 191 0.1162005 109.1121 0.162 second_trace 3
## 192 0.1162005 109.1121 0.162 second_trace 3
## 193 0.1162005 109.1121 0.162 second_trace 3
## 194 0.1162005 109.1121 0.162 second_trace 3
## 195 0.1162005 109.1121 0.162 second_trace 3
## 196 0.1162005 109.1121 0.162 second_trace 3
## 197 0.1162005 109.1121 0.162 second_trace 3
## 198 0.1162005 109.1121 0.162 second_trace 3
## 199 0.1162005 109.1121 0.162 second_trace 3
## 200 0.1162005 109.1121 0.162 second_trace 3
## 201 0.1162005 109.1121 0.162 second_trace 3
## 202 0.1162005 109.1121 0.162 second_trace 3
## 203 0.1162005 109.1121 0.162 second_trace 3
## 204 0.1162005 109.1121 0.162 second_trace 3
## 205 0.1162005 109.1121 0.162 second_trace 3
## 206 0.1162005 109.1121 0.162 second_trace 3
## 207 0.1162005 109.1121 0.162 second_trace 3
## 208 0.1162005 109.1121 0.162 mif1 3
## 209 0.1162005 109.1121 0.162 start 3
## 210 0.1162005 109.1121 0.162 first_trace 3
## 211 0.1162005 109.1121 0.162 first_trace 3
## 212 0.1162005 109.1121 0.162 first_trace 3
## 213 0.1162005 109.1121 0.162 first_trace 3
## 214 0.1162005 109.1121 0.162 first_trace 3
## 215 0.1162005 109.1121 0.162 first_trace 3
## 216 0.1162005 109.1121 0.162 first_trace 3
## 217 0.1162005 109.1121 0.162 first_trace 3
## 218 0.1162005 109.1121 0.162 first_trace 3
## 219 0.1162005 109.1121 0.162 first_trace 3
## 220 0.1162005 109.1121 0.162 first_trace 3
## 221 0.1162005 109.1121 0.162 first_trace 3
## 222 0.1162005 109.1121 0.162 first_trace 3
## 223 0.1162005 109.1121 0.162 first_trace 3
## 224 0.1162005 109.1121 0.162 first_trace 3
## 225 0.1162005 109.1121 0.162 first_trace 3
## 226 0.1162005 109.1121 0.162 first_trace 3
## 227 0.1162005 109.1121 0.162 first_trace 3
## 228 0.1162005 109.1121 0.162 first_trace 3
## 229 0.1162005 109.1121 0.162 first_trace 3
## 230 0.1162005 109.1121 0.162 first_trace 3
## 231 0.1162005 109.1121 0.162 first_trace 3
## 232 0.1162005 109.1121 0.162 first_trace 3
## 233 0.1162005 109.1121 0.162 first_trace 3
## 234 0.1162005 109.1121 0.162 first_trace 3
## 235 0.1162005 109.1121 0.162 first_trace 3
## 236 0.1162005 109.1121 0.162 first_trace 3
## 237 0.1162005 109.1121 0.162 first_trace 3
## 238 0.1162005 109.1121 0.162 first_trace 3
## 239 0.1162005 109.1121 0.162 first_trace 3
## 240 0.1162005 109.1121 0.162 first_trace 3
## 241 0.1162005 109.1121 0.162 first_trace 3
## 242 0.1162005 109.1121 0.162 first_trace 3
## 243 0.1162005 109.1121 0.162 first_trace 3
## 244 0.1162005 109.1121 0.162 first_trace 3
## 245 0.1162005 109.1121 0.162 first_trace 3
## 246 0.1162005 109.1121 0.162 first_trace 3
## 247 0.1162005 109.1121 0.162 first_trace 3
## 248 0.1162005 109.1121 0.162 first_trace 3
## 249 0.1162005 109.1121 0.162 first_trace 3
## 250 0.1162005 109.1121 0.162 first_trace 3
## 251 0.1162005 109.1121 0.162 first_trace 3
## 252 0.1162005 109.1121 0.162 first_trace 3
## 253 0.1162005 109.1121 0.162 first_trace 3
## 254 0.1162005 109.1121 0.162 first_trace 3
## 255 0.1162005 109.1121 0.162 first_trace 3
## 256 0.1162005 109.1121 0.162 first_trace 3
## 257 0.1162005 109.1121 0.162 first_trace 3
## 258 0.1162005 109.1121 0.162 first_trace 3
## 259 0.1162005 109.1121 0.162 first_trace 3
## 260 0.1162005 109.1121 0.162 first_trace 3
## 261 0.1162005 109.1121 0.162 second_trace 3
## 262 0.1162005 109.1121 0.162 second_trace 3
## 263 0.1162005 109.1121 0.162 second_trace 3
## 264 0.1162005 109.1121 0.162 second_trace 3
## 265 0.1162005 109.1121 0.162 second_trace 3
## 266 0.1162005 109.1121 0.162 second_trace 3
## 267 0.1162005 109.1121 0.162 second_trace 3
## 268 0.1162005 109.1121 0.162 second_trace 3
## 269 0.1162005 109.1121 0.162 second_trace 3
## 270 0.1162005 109.1121 0.162 second_trace 3
## 271 0.1162005 109.1121 0.162 second_trace 3
## 272 0.1162005 109.1121 0.162 second_trace 3
## 273 0.1162005 109.1121 0.162 second_trace 3
## 274 0.1162005 109.1121 0.162 second_trace 3
## 275 0.1162005 109.1121 0.162 second_trace 3
## 276 0.1162005 109.1121 0.162 second_trace 3
## 277 0.1162005 109.1121 0.162 second_trace 3
## 278 0.1162005 109.1121 0.162 second_trace 3
## 279 0.1162005 109.1121 0.162 second_trace 3
## 280 0.1162005 109.1121 0.162 second_trace 3
## 281 0.1162005 109.1121 0.162 second_trace 3
## 282 0.1162005 109.1121 0.162 second_trace 3
## 283 0.1162005 109.1121 0.162 second_trace 3
## 284 0.1162005 109.1121 0.162 second_trace 3
## 285 0.1162005 109.1121 0.162 second_trace 3
## 286 0.1162005 109.1121 0.162 second_trace 3
## 287 0.1162005 109.1121 0.162 second_trace 3
## 288 0.1162005 109.1121 0.162 second_trace 3
## 289 0.1162005 109.1121 0.162 second_trace 3
## 290 0.1162005 109.1121 0.162 second_trace 3
## 291 0.1162005 109.1121 0.162 second_trace 3
## 292 0.1162005 109.1121 0.162 second_trace 3
## 293 0.1162005 109.1121 0.162 second_trace 3
## 294 0.1162005 109.1121 0.162 second_trace 3
## 295 0.1162005 109.1121 0.162 second_trace 3
## 296 0.1162005 109.1121 0.162 second_trace 3
## 297 0.1162005 109.1121 0.162 second_trace 3
## 298 0.1162005 109.1121 0.162 second_trace 3
## 299 0.1162005 109.1121 0.162 second_trace 3
## 300 0.1162005 109.1121 0.162 second_trace 3
## 301 0.1162005 109.1121 0.162 second_trace 3
## 302 0.1162005 109.1121 0.162 second_trace 3
## 303 0.1162005 109.1121 0.162 second_trace 3
## 304 0.1162005 109.1121 0.162 second_trace 3
## 305 0.1162005 109.1121 0.162 second_trace 3
## 306 0.1162005 109.1121 0.162 second_trace 3
## 307 0.1162005 109.1121 0.162 second_trace 3
## 308 0.1162005 109.1121 0.162 second_trace 3
## 309 0.1162005 109.1121 0.162 second_trace 3
## 310 0.1162005 109.1121 0.162 second_trace 3
## 311 0.1162005 109.1121 0.162 second_trace 3
## 312 0.1162005 109.1121 0.162 mif1 3
## 313 0.1162005 109.1121 0.162 start 3
## 314 0.1162005 109.1121 0.162 first_trace 3
## 315 0.1162005 109.1121 0.162 first_trace 3
## 316 0.1162005 109.1121 0.162 first_trace 3
## 317 0.1162005 109.1121 0.162 first_trace 3
## 318 0.1162005 109.1121 0.162 first_trace 3
## 319 0.1162005 109.1121 0.162 first_trace 3
## 320 0.1162005 109.1121 0.162 first_trace 3
## 321 0.1162005 109.1121 0.162 first_trace 3
## 322 0.1162005 109.1121 0.162 first_trace 3
## 323 0.1162005 109.1121 0.162 first_trace 3
## 324 0.1162005 109.1121 0.162 first_trace 3
## 325 0.1162005 109.1121 0.162 first_trace 3
## 326 0.1162005 109.1121 0.162 first_trace 3
## 327 0.1162005 109.1121 0.162 first_trace 3
## 328 0.1162005 109.1121 0.162 first_trace 3
## 329 0.1162005 109.1121 0.162 first_trace 3
## 330 0.1162005 109.1121 0.162 first_trace 3
## 331 0.1162005 109.1121 0.162 first_trace 3
## 332 0.1162005 109.1121 0.162 first_trace 3
## 333 0.1162005 109.1121 0.162 first_trace 3
## 334 0.1162005 109.1121 0.162 first_trace 3
## 335 0.1162005 109.1121 0.162 first_trace 3
## 336 0.1162005 109.1121 0.162 first_trace 3
## 337 0.1162005 109.1121 0.162 first_trace 3
## 338 0.1162005 109.1121 0.162 first_trace 3
## 339 0.1162005 109.1121 0.162 first_trace 3
## 340 0.1162005 109.1121 0.162 first_trace 3
## 341 0.1162005 109.1121 0.162 first_trace 3
## 342 0.1162005 109.1121 0.162 first_trace 3
## 343 0.1162005 109.1121 0.162 first_trace 3
## 344 0.1162005 109.1121 0.162 first_trace 3
## 345 0.1162005 109.1121 0.162 first_trace 3
## 346 0.1162005 109.1121 0.162 first_trace 3
## 347 0.1162005 109.1121 0.162 first_trace 3
## 348 0.1162005 109.1121 0.162 first_trace 3
## 349 0.1162005 109.1121 0.162 first_trace 3
## 350 0.1162005 109.1121 0.162 first_trace 3
## 351 0.1162005 109.1121 0.162 first_trace 3
## 352 0.1162005 109.1121 0.162 first_trace 3
## 353 0.1162005 109.1121 0.162 first_trace 3
## 354 0.1162005 109.1121 0.162 first_trace 3
## 355 0.1162005 109.1121 0.162 first_trace 3
## 356 0.1162005 109.1121 0.162 first_trace 3
## 357 0.1162005 109.1121 0.162 first_trace 3
## 358 0.1162005 109.1121 0.162 first_trace 3
## 359 0.1162005 109.1121 0.162 first_trace 3
## 360 0.1162005 109.1121 0.162 first_trace 3
## 361 0.1162005 109.1121 0.162 first_trace 3
## 362 0.1162005 109.1121 0.162 first_trace 3
## 363 0.1162005 109.1121 0.162 first_trace 3
## 364 0.1162005 109.1121 0.162 first_trace 3
## 365 0.1162005 109.1121 0.162 second_trace 3
## 366 0.1162005 109.1121 0.162 second_trace 3
## 367 0.1162005 109.1121 0.162 second_trace 3
## 368 0.1162005 109.1121 0.162 second_trace 3
## 369 0.1162005 109.1121 0.162 second_trace 3
## 370 0.1162005 109.1121 0.162 second_trace 3
## 371 0.1162005 109.1121 0.162 second_trace 3
## 372 0.1162005 109.1121 0.162 second_trace 3
## 373 0.1162005 109.1121 0.162 second_trace 3
## 374 0.1162005 109.1121 0.162 second_trace 3
## 375 0.1162005 109.1121 0.162 second_trace 3
## 376 0.1162005 109.1121 0.162 second_trace 3
## 377 0.1162005 109.1121 0.162 second_trace 3
## 378 0.1162005 109.1121 0.162 second_trace 3
## 379 0.1162005 109.1121 0.162 second_trace 3
## 380 0.1162005 109.1121 0.162 second_trace 3
## 381 0.1162005 109.1121 0.162 second_trace 3
## 382 0.1162005 109.1121 0.162 second_trace 3
## 383 0.1162005 109.1121 0.162 second_trace 3
## 384 0.1162005 109.1121 0.162 second_trace 3
## 385 0.1162005 109.1121 0.162 second_trace 3
## 386 0.1162005 109.1121 0.162 second_trace 3
## 387 0.1162005 109.1121 0.162 second_trace 3
## 388 0.1162005 109.1121 0.162 second_trace 3
## 389 0.1162005 109.1121 0.162 second_trace 3
## 390 0.1162005 109.1121 0.162 second_trace 3
## 391 0.1162005 109.1121 0.162 second_trace 3
## 392 0.1162005 109.1121 0.162 second_trace 3
## 393 0.1162005 109.1121 0.162 second_trace 3
## 394 0.1162005 109.1121 0.162 second_trace 3
## 395 0.1162005 109.1121 0.162 second_trace 3
## 396 0.1162005 109.1121 0.162 second_trace 3
## 397 0.1162005 109.1121 0.162 second_trace 3
## 398 0.1162005 109.1121 0.162 second_trace 3
## 399 0.1162005 109.1121 0.162 second_trace 3
## 400 0.1162005 109.1121 0.162 second_trace 3
## 401 0.1162005 109.1121 0.162 second_trace 3
## 402 0.1162005 109.1121 0.162 second_trace 3
## 403 0.1162005 109.1121 0.162 second_trace 3
## 404 0.1162005 109.1121 0.162 second_trace 3
## 405 0.1162005 109.1121 0.162 second_trace 3
## 406 0.1162005 109.1121 0.162 second_trace 3
## 407 0.1162005 109.1121 0.162 second_trace 3
## 408 0.1162005 109.1121 0.162 second_trace 3
## 409 0.1162005 109.1121 0.162 second_trace 3
## 410 0.1162005 109.1121 0.162 second_trace 3
## 411 0.1162005 109.1121 0.162 second_trace 3
## 412 0.1162005 109.1121 0.162 second_trace 3
## 413 0.1162005 109.1121 0.162 second_trace 3
## 414 0.1162005 109.1121 0.162 second_trace 3
## 415 0.1162005 109.1121 0.162 second_trace 3
## 416 0.1162005 109.1121 0.162 mif1 3
## 417 0.1162005 109.1121 0.162 start 3
## 418 0.1162005 109.1121 0.162 first_trace 3
## 419 0.1162005 109.1121 0.162 first_trace 3
## 420 0.1162005 109.1121 0.162 first_trace 3
## 421 0.1162005 109.1121 0.162 first_trace 3
## 422 0.1162005 109.1121 0.162 first_trace 3
## 423 0.1162005 109.1121 0.162 first_trace 3
## 424 0.1162005 109.1121 0.162 first_trace 3
## 425 0.1162005 109.1121 0.162 first_trace 3
## 426 0.1162005 109.1121 0.162 first_trace 3
## 427 0.1162005 109.1121 0.162 first_trace 3
## 428 0.1162005 109.1121 0.162 first_trace 3
## 429 0.1162005 109.1121 0.162 first_trace 3
## 430 0.1162005 109.1121 0.162 first_trace 3
## 431 0.1162005 109.1121 0.162 first_trace 3
## 432 0.1162005 109.1121 0.162 first_trace 3
## 433 0.1162005 109.1121 0.162 first_trace 3
## 434 0.1162005 109.1121 0.162 first_trace 3
## 435 0.1162005 109.1121 0.162 first_trace 3
## 436 0.1162005 109.1121 0.162 first_trace 3
## 437 0.1162005 109.1121 0.162 first_trace 3
## 438 0.1162005 109.1121 0.162 first_trace 3
## 439 0.1162005 109.1121 0.162 first_trace 3
## 440 0.1162005 109.1121 0.162 first_trace 3
## 441 0.1162005 109.1121 0.162 first_trace 3
## 442 0.1162005 109.1121 0.162 first_trace 3
## 443 0.1162005 109.1121 0.162 first_trace 3
## 444 0.1162005 109.1121 0.162 first_trace 3
## 445 0.1162005 109.1121 0.162 first_trace 3
## 446 0.1162005 109.1121 0.162 first_trace 3
## 447 0.1162005 109.1121 0.162 first_trace 3
## 448 0.1162005 109.1121 0.162 first_trace 3
## 449 0.1162005 109.1121 0.162 first_trace 3
## 450 0.1162005 109.1121 0.162 first_trace 3
## 451 0.1162005 109.1121 0.162 first_trace 3
## 452 0.1162005 109.1121 0.162 first_trace 3
## 453 0.1162005 109.1121 0.162 first_trace 3
## 454 0.1162005 109.1121 0.162 first_trace 3
## 455 0.1162005 109.1121 0.162 first_trace 3
## 456 0.1162005 109.1121 0.162 first_trace 3
## 457 0.1162005 109.1121 0.162 first_trace 3
## 458 0.1162005 109.1121 0.162 first_trace 3
## 459 0.1162005 109.1121 0.162 first_trace 3
## 460 0.1162005 109.1121 0.162 first_trace 3
## 461 0.1162005 109.1121 0.162 first_trace 3
## 462 0.1162005 109.1121 0.162 first_trace 3
## 463 0.1162005 109.1121 0.162 first_trace 3
## 464 0.1162005 109.1121 0.162 first_trace 3
## 465 0.1162005 109.1121 0.162 first_trace 3
## 466 0.1162005 109.1121 0.162 first_trace 3
## 467 0.1162005 109.1121 0.162 first_trace 3
## 468 0.1162005 109.1121 0.162 first_trace 3
## 469 0.1162005 109.1121 0.162 second_trace 3
## 470 0.1162005 109.1121 0.162 second_trace 3
## 471 0.1162005 109.1121 0.162 second_trace 3
## 472 0.1162005 109.1121 0.162 second_trace 3
## 473 0.1162005 109.1121 0.162 second_trace 3
## 474 0.1162005 109.1121 0.162 second_trace 3
## 475 0.1162005 109.1121 0.162 second_trace 3
## 476 0.1162005 109.1121 0.162 second_trace 3
## 477 0.1162005 109.1121 0.162 second_trace 3
## 478 0.1162005 109.1121 0.162 second_trace 3
## 479 0.1162005 109.1121 0.162 second_trace 3
## 480 0.1162005 109.1121 0.162 second_trace 3
## 481 0.1162005 109.1121 0.162 second_trace 3
## 482 0.1162005 109.1121 0.162 second_trace 3
## 483 0.1162005 109.1121 0.162 second_trace 3
## 484 0.1162005 109.1121 0.162 second_trace 3
## 485 0.1162005 109.1121 0.162 second_trace 3
## 486 0.1162005 109.1121 0.162 second_trace 3
## 487 0.1162005 109.1121 0.162 second_trace 3
## 488 0.1162005 109.1121 0.162 second_trace 3
## 489 0.1162005 109.1121 0.162 second_trace 3
## 490 0.1162005 109.1121 0.162 second_trace 3
## 491 0.1162005 109.1121 0.162 second_trace 3
## 492 0.1162005 109.1121 0.162 second_trace 3
## 493 0.1162005 109.1121 0.162 second_trace 3
## 494 0.1162005 109.1121 0.162 second_trace 3
## 495 0.1162005 109.1121 0.162 second_trace 3
## 496 0.1162005 109.1121 0.162 second_trace 3
## 497 0.1162005 109.1121 0.162 second_trace 3
## 498 0.1162005 109.1121 0.162 second_trace 3
## 499 0.1162005 109.1121 0.162 second_trace 3
## 500 0.1162005 109.1121 0.162 second_trace 3
## 501 0.1162005 109.1121 0.162 second_trace 3
## 502 0.1162005 109.1121 0.162 second_trace 3
## 503 0.1162005 109.1121 0.162 second_trace 3
## 504 0.1162005 109.1121 0.162 second_trace 3
## 505 0.1162005 109.1121 0.162 second_trace 3
## 506 0.1162005 109.1121 0.162 second_trace 3
## 507 0.1162005 109.1121 0.162 second_trace 3
## 508 0.1162005 109.1121 0.162 second_trace 3
## 509 0.1162005 109.1121 0.162 second_trace 3
## 510 0.1162005 109.1121 0.162 second_trace 3
## 511 0.1162005 109.1121 0.162 second_trace 3
## 512 0.1162005 109.1121 0.162 second_trace 3
## 513 0.1162005 109.1121 0.162 second_trace 3
## 514 0.1162005 109.1121 0.162 second_trace 3
## 515 0.1162005 109.1121 0.162 second_trace 3
## 516 0.1162005 109.1121 0.162 second_trace 3
## 517 0.1162005 109.1121 0.162 second_trace 3
## 518 0.1162005 109.1121 0.162 second_trace 3
## 519 0.1162005 109.1121 0.162 second_trace 3
## 520 0.1162005 109.1121 0.162 mif1 3
## 521 0.1162005 109.1121 0.162 start 3
## 522 0.1162005 109.1121 0.162 first_trace 3
## 523 0.1162005 109.1121 0.162 first_trace 3
## 524 0.1162005 109.1121 0.162 first_trace 3
## 525 0.1162005 109.1121 0.162 first_trace 3
## 526 0.1162005 109.1121 0.162 first_trace 3
## 527 0.1162005 109.1121 0.162 first_trace 3
## 528 0.1162005 109.1121 0.162 first_trace 3
## 529 0.1162005 109.1121 0.162 first_trace 3
## 530 0.1162005 109.1121 0.162 first_trace 3
## 531 0.1162005 109.1121 0.162 first_trace 3
## 532 0.1162005 109.1121 0.162 first_trace 3
## 533 0.1162005 109.1121 0.162 first_trace 3
## 534 0.1162005 109.1121 0.162 first_trace 3
## 535 0.1162005 109.1121 0.162 first_trace 3
## 536 0.1162005 109.1121 0.162 first_trace 3
## 537 0.1162005 109.1121 0.162 first_trace 3
## 538 0.1162005 109.1121 0.162 first_trace 3
## 539 0.1162005 109.1121 0.162 first_trace 3
## 540 0.1162005 109.1121 0.162 first_trace 3
## 541 0.1162005 109.1121 0.162 first_trace 3
## 542 0.1162005 109.1121 0.162 first_trace 3
## 543 0.1162005 109.1121 0.162 first_trace 3
## 544 0.1162005 109.1121 0.162 first_trace 3
## 545 0.1162005 109.1121 0.162 first_trace 3
## 546 0.1162005 109.1121 0.162 first_trace 3
## 547 0.1162005 109.1121 0.162 first_trace 3
## 548 0.1162005 109.1121 0.162 first_trace 3
## 549 0.1162005 109.1121 0.162 first_trace 3
## 550 0.1162005 109.1121 0.162 first_trace 3
## 551 0.1162005 109.1121 0.162 first_trace 3
## 552 0.1162005 109.1121 0.162 first_trace 3
## 553 0.1162005 109.1121 0.162 first_trace 3
## 554 0.1162005 109.1121 0.162 first_trace 3
## 555 0.1162005 109.1121 0.162 first_trace 3
## 556 0.1162005 109.1121 0.162 first_trace 3
## 557 0.1162005 109.1121 0.162 first_trace 3
## 558 0.1162005 109.1121 0.162 first_trace 3
## 559 0.1162005 109.1121 0.162 first_trace 3
## 560 0.1162005 109.1121 0.162 first_trace 3
## 561 0.1162005 109.1121 0.162 first_trace 3
## 562 0.1162005 109.1121 0.162 first_trace 3
## 563 0.1162005 109.1121 0.162 first_trace 3
## 564 0.1162005 109.1121 0.162 first_trace 3
## 565 0.1162005 109.1121 0.162 first_trace 3
## 566 0.1162005 109.1121 0.162 first_trace 3
## 567 0.1162005 109.1121 0.162 first_trace 3
## 568 0.1162005 109.1121 0.162 first_trace 3
## 569 0.1162005 109.1121 0.162 first_trace 3
## 570 0.1162005 109.1121 0.162 first_trace 3
## 571 0.1162005 109.1121 0.162 first_trace 3
## 572 0.1162005 109.1121 0.162 first_trace 3
## 573 0.1162005 109.1121 0.162 second_trace 3
## 574 0.1162005 109.1121 0.162 second_trace 3
## 575 0.1162005 109.1121 0.162 second_trace 3
## 576 0.1162005 109.1121 0.162 second_trace 3
## 577 0.1162005 109.1121 0.162 second_trace 3
## 578 0.1162005 109.1121 0.162 second_trace 3
## 579 0.1162005 109.1121 0.162 second_trace 3
## 580 0.1162005 109.1121 0.162 second_trace 3
## 581 0.1162005 109.1121 0.162 second_trace 3
## 582 0.1162005 109.1121 0.162 second_trace 3
## 583 0.1162005 109.1121 0.162 second_trace 3
## 584 0.1162005 109.1121 0.162 second_trace 3
## 585 0.1162005 109.1121 0.162 second_trace 3
## 586 0.1162005 109.1121 0.162 second_trace 3
## 587 0.1162005 109.1121 0.162 second_trace 3
## 588 0.1162005 109.1121 0.162 second_trace 3
## 589 0.1162005 109.1121 0.162 second_trace 3
## 590 0.1162005 109.1121 0.162 second_trace 3
## 591 0.1162005 109.1121 0.162 second_trace 3
## 592 0.1162005 109.1121 0.162 second_trace 3
## 593 0.1162005 109.1121 0.162 second_trace 3
## 594 0.1162005 109.1121 0.162 second_trace 3
## 595 0.1162005 109.1121 0.162 second_trace 3
## 596 0.1162005 109.1121 0.162 second_trace 3
## 597 0.1162005 109.1121 0.162 second_trace 3
## 598 0.1162005 109.1121 0.162 second_trace 3
## 599 0.1162005 109.1121 0.162 second_trace 3
## 600 0.1162005 109.1121 0.162 second_trace 3
## 601 0.1162005 109.1121 0.162 second_trace 3
## 602 0.1162005 109.1121 0.162 second_trace 3
## 603 0.1162005 109.1121 0.162 second_trace 3
## 604 0.1162005 109.1121 0.162 second_trace 3
## 605 0.1162005 109.1121 0.162 second_trace 3
## 606 0.1162005 109.1121 0.162 second_trace 3
## 607 0.1162005 109.1121 0.162 second_trace 3
## 608 0.1162005 109.1121 0.162 second_trace 3
## 609 0.1162005 109.1121 0.162 second_trace 3
## 610 0.1162005 109.1121 0.162 second_trace 3
## 611 0.1162005 109.1121 0.162 second_trace 3
## 612 0.1162005 109.1121 0.162 second_trace 3
## 613 0.1162005 109.1121 0.162 second_trace 3
## 614 0.1162005 109.1121 0.162 second_trace 3
## 615 0.1162005 109.1121 0.162 second_trace 3
## 616 0.1162005 109.1121 0.162 second_trace 3
## 617 0.1162005 109.1121 0.162 second_trace 3
## 618 0.1162005 109.1121 0.162 second_trace 3
## 619 0.1162005 109.1121 0.162 second_trace 3
## 620 0.1162005 109.1121 0.162 second_trace 3
## 621 0.1162005 109.1121 0.162 second_trace 3
## 622 0.1162005 109.1121 0.162 second_trace 3
## 623 0.1162005 109.1121 0.162 second_trace 3
## 624 0.1162005 109.1121 0.162 mif1 3
## 625 0.1162005 109.1121 0.162 start 3
## 626 0.1162005 109.1121 0.162 first_trace 3
## 627 0.1162005 109.1121 0.162 first_trace 3
## 628 0.1162005 109.1121 0.162 first_trace 3
## 629 0.1162005 109.1121 0.162 first_trace 3
## 630 0.1162005 109.1121 0.162 first_trace 3
## 631 0.1162005 109.1121 0.162 first_trace 3
## 632 0.1162005 109.1121 0.162 first_trace 3
## 633 0.1162005 109.1121 0.162 first_trace 3
## 634 0.1162005 109.1121 0.162 first_trace 3
## 635 0.1162005 109.1121 0.162 first_trace 3
## 636 0.1162005 109.1121 0.162 first_trace 3
## 637 0.1162005 109.1121 0.162 first_trace 3
## 638 0.1162005 109.1121 0.162 first_trace 3
## 639 0.1162005 109.1121 0.162 first_trace 3
## 640 0.1162005 109.1121 0.162 first_trace 3
## 641 0.1162005 109.1121 0.162 first_trace 3
## 642 0.1162005 109.1121 0.162 first_trace 3
## 643 0.1162005 109.1121 0.162 first_trace 3
## 644 0.1162005 109.1121 0.162 first_trace 3
## 645 0.1162005 109.1121 0.162 first_trace 3
## 646 0.1162005 109.1121 0.162 first_trace 3
## 647 0.1162005 109.1121 0.162 first_trace 3
## 648 0.1162005 109.1121 0.162 first_trace 3
## 649 0.1162005 109.1121 0.162 first_trace 3
## 650 0.1162005 109.1121 0.162 first_trace 3
## 651 0.1162005 109.1121 0.162 first_trace 3
## 652 0.1162005 109.1121 0.162 first_trace 3
## 653 0.1162005 109.1121 0.162 first_trace 3
## 654 0.1162005 109.1121 0.162 first_trace 3
## 655 0.1162005 109.1121 0.162 first_trace 3
## 656 0.1162005 109.1121 0.162 first_trace 3
## 657 0.1162005 109.1121 0.162 first_trace 3
## 658 0.1162005 109.1121 0.162 first_trace 3
## 659 0.1162005 109.1121 0.162 first_trace 3
## 660 0.1162005 109.1121 0.162 first_trace 3
## 661 0.1162005 109.1121 0.162 first_trace 3
## 662 0.1162005 109.1121 0.162 first_trace 3
## 663 0.1162005 109.1121 0.162 first_trace 3
## 664 0.1162005 109.1121 0.162 first_trace 3
## 665 0.1162005 109.1121 0.162 first_trace 3
## 666 0.1162005 109.1121 0.162 first_trace 3
## 667 0.1162005 109.1121 0.162 first_trace 3
## 668 0.1162005 109.1121 0.162 first_trace 3
## 669 0.1162005 109.1121 0.162 first_trace 3
## 670 0.1162005 109.1121 0.162 first_trace 3
## 671 0.1162005 109.1121 0.162 first_trace 3
## 672 0.1162005 109.1121 0.162 first_trace 3
## 673 0.1162005 109.1121 0.162 first_trace 3
## 674 0.1162005 109.1121 0.162 first_trace 3
## 675 0.1162005 109.1121 0.162 first_trace 3
## 676 0.1162005 109.1121 0.162 first_trace 3
## 677 0.1162005 109.1121 0.162 second_trace 3
## 678 0.1162005 109.1121 0.162 second_trace 3
## 679 0.1162005 109.1121 0.162 second_trace 3
## 680 0.1162005 109.1121 0.162 second_trace 3
## 681 0.1162005 109.1121 0.162 second_trace 3
## 682 0.1162005 109.1121 0.162 second_trace 3
## 683 0.1162005 109.1121 0.162 second_trace 3
## 684 0.1162005 109.1121 0.162 second_trace 3
## 685 0.1162005 109.1121 0.162 second_trace 3
## 686 0.1162005 109.1121 0.162 second_trace 3
## 687 0.1162005 109.1121 0.162 second_trace 3
## 688 0.1162005 109.1121 0.162 second_trace 3
## 689 0.1162005 109.1121 0.162 second_trace 3
## 690 0.1162005 109.1121 0.162 second_trace 3
## 691 0.1162005 109.1121 0.162 second_trace 3
## 692 0.1162005 109.1121 0.162 second_trace 3
## 693 0.1162005 109.1121 0.162 second_trace 3
## 694 0.1162005 109.1121 0.162 second_trace 3
## 695 0.1162005 109.1121 0.162 second_trace 3
## 696 0.1162005 109.1121 0.162 second_trace 3
## 697 0.1162005 109.1121 0.162 second_trace 3
## 698 0.1162005 109.1121 0.162 second_trace 3
## 699 0.1162005 109.1121 0.162 second_trace 3
## 700 0.1162005 109.1121 0.162 second_trace 3
## 701 0.1162005 109.1121 0.162 second_trace 3
## 702 0.1162005 109.1121 0.162 second_trace 3
## 703 0.1162005 109.1121 0.162 second_trace 3
## 704 0.1162005 109.1121 0.162 second_trace 3
## 705 0.1162005 109.1121 0.162 second_trace 3
## 706 0.1162005 109.1121 0.162 second_trace 3
## 707 0.1162005 109.1121 0.162 second_trace 3
## 708 0.1162005 109.1121 0.162 second_trace 3
## 709 0.1162005 109.1121 0.162 second_trace 3
## 710 0.1162005 109.1121 0.162 second_trace 3
## 711 0.1162005 109.1121 0.162 second_trace 3
## 712 0.1162005 109.1121 0.162 second_trace 3
## 713 0.1162005 109.1121 0.162 second_trace 3
## 714 0.1162005 109.1121 0.162 second_trace 3
## 715 0.1162005 109.1121 0.162 second_trace 3
## 716 0.1162005 109.1121 0.162 second_trace 3
## 717 0.1162005 109.1121 0.162 second_trace 3
## 718 0.1162005 109.1121 0.162 second_trace 3
## 719 0.1162005 109.1121 0.162 second_trace 3
## 720 0.1162005 109.1121 0.162 second_trace 3
## 721 0.1162005 109.1121 0.162 second_trace 3
## 722 0.1162005 109.1121 0.162 second_trace 3
## 723 0.1162005 109.1121 0.162 second_trace 3
## 724 0.1162005 109.1121 0.162 second_trace 3
## 725 0.1162005 109.1121 0.162 second_trace 3
## 726 0.1162005 109.1121 0.162 second_trace 3
## 727 0.1162005 109.1121 0.162 second_trace 3
## 728 0.1162005 109.1121 0.162 mif1 3
## 729 0.1162005 109.1121 0.162 start 3
## 730 0.1162005 109.1121 0.162 first_trace 3
## 731 0.1162005 109.1121 0.162 first_trace 3
## 732 0.1162005 109.1121 0.162 first_trace 3
## 733 0.1162005 109.1121 0.162 first_trace 3
## 734 0.1162005 109.1121 0.162 first_trace 3
## 735 0.1162005 109.1121 0.162 first_trace 3
## 736 0.1162005 109.1121 0.162 first_trace 3
## 737 0.1162005 109.1121 0.162 first_trace 3
## 738 0.1162005 109.1121 0.162 first_trace 3
## 739 0.1162005 109.1121 0.162 first_trace 3
## 740 0.1162005 109.1121 0.162 first_trace 3
## 741 0.1162005 109.1121 0.162 first_trace 3
## 742 0.1162005 109.1121 0.162 first_trace 3
## 743 0.1162005 109.1121 0.162 first_trace 3
## 744 0.1162005 109.1121 0.162 first_trace 3
## 745 0.1162005 109.1121 0.162 first_trace 3
## 746 0.1162005 109.1121 0.162 first_trace 3
## 747 0.1162005 109.1121 0.162 first_trace 3
## 748 0.1162005 109.1121 0.162 first_trace 3
## 749 0.1162005 109.1121 0.162 first_trace 3
## 750 0.1162005 109.1121 0.162 first_trace 3
## 751 0.1162005 109.1121 0.162 first_trace 3
## 752 0.1162005 109.1121 0.162 first_trace 3
## 753 0.1162005 109.1121 0.162 first_trace 3
## 754 0.1162005 109.1121 0.162 first_trace 3
## 755 0.1162005 109.1121 0.162 first_trace 3
## 756 0.1162005 109.1121 0.162 first_trace 3
## 757 0.1162005 109.1121 0.162 first_trace 3
## 758 0.1162005 109.1121 0.162 first_trace 3
## 759 0.1162005 109.1121 0.162 first_trace 3
## 760 0.1162005 109.1121 0.162 first_trace 3
## 761 0.1162005 109.1121 0.162 first_trace 3
## 762 0.1162005 109.1121 0.162 first_trace 3
## 763 0.1162005 109.1121 0.162 first_trace 3
## 764 0.1162005 109.1121 0.162 first_trace 3
## 765 0.1162005 109.1121 0.162 first_trace 3
## 766 0.1162005 109.1121 0.162 first_trace 3
## 767 0.1162005 109.1121 0.162 first_trace 3
## 768 0.1162005 109.1121 0.162 first_trace 3
## 769 0.1162005 109.1121 0.162 first_trace 3
## 770 0.1162005 109.1121 0.162 first_trace 3
## 771 0.1162005 109.1121 0.162 first_trace 3
## 772 0.1162005 109.1121 0.162 first_trace 3
## 773 0.1162005 109.1121 0.162 first_trace 3
## 774 0.1162005 109.1121 0.162 first_trace 3
## 775 0.1162005 109.1121 0.162 first_trace 3
## 776 0.1162005 109.1121 0.162 first_trace 3
## 777 0.1162005 109.1121 0.162 first_trace 3
## 778 0.1162005 109.1121 0.162 first_trace 3
## 779 0.1162005 109.1121 0.162 first_trace 3
## 780 0.1162005 109.1121 0.162 first_trace 3
## 781 0.1162005 109.1121 0.162 second_trace 3
## 782 0.1162005 109.1121 0.162 second_trace 3
## 783 0.1162005 109.1121 0.162 second_trace 3
## 784 0.1162005 109.1121 0.162 second_trace 3
## 785 0.1162005 109.1121 0.162 second_trace 3
## 786 0.1162005 109.1121 0.162 second_trace 3
## 787 0.1162005 109.1121 0.162 second_trace 3
## 788 0.1162005 109.1121 0.162 second_trace 3
## 789 0.1162005 109.1121 0.162 second_trace 3
## 790 0.1162005 109.1121 0.162 second_trace 3
## 791 0.1162005 109.1121 0.162 second_trace 3
## 792 0.1162005 109.1121 0.162 second_trace 3
## 793 0.1162005 109.1121 0.162 second_trace 3
## 794 0.1162005 109.1121 0.162 second_trace 3
## 795 0.1162005 109.1121 0.162 second_trace 3
## 796 0.1162005 109.1121 0.162 second_trace 3
## 797 0.1162005 109.1121 0.162 second_trace 3
## 798 0.1162005 109.1121 0.162 second_trace 3
## 799 0.1162005 109.1121 0.162 second_trace 3
## 800 0.1162005 109.1121 0.162 second_trace 3
## 801 0.1162005 109.1121 0.162 second_trace 3
## 802 0.1162005 109.1121 0.162 second_trace 3
## 803 0.1162005 109.1121 0.162 second_trace 3
## 804 0.1162005 109.1121 0.162 second_trace 3
## 805 0.1162005 109.1121 0.162 second_trace 3
## 806 0.1162005 109.1121 0.162 second_trace 3
## 807 0.1162005 109.1121 0.162 second_trace 3
## 808 0.1162005 109.1121 0.162 second_trace 3
## 809 0.1162005 109.1121 0.162 second_trace 3
## 810 0.1162005 109.1121 0.162 second_trace 3
## 811 0.1162005 109.1121 0.162 second_trace 3
## 812 0.1162005 109.1121 0.162 second_trace 3
## 813 0.1162005 109.1121 0.162 second_trace 3
## 814 0.1162005 109.1121 0.162 second_trace 3
## 815 0.1162005 109.1121 0.162 second_trace 3
## 816 0.1162005 109.1121 0.162 second_trace 3
## 817 0.1162005 109.1121 0.162 second_trace 3
## 818 0.1162005 109.1121 0.162 second_trace 3
## 819 0.1162005 109.1121 0.162 second_trace 3
## 820 0.1162005 109.1121 0.162 second_trace 3
## 821 0.1162005 109.1121 0.162 second_trace 3
## 822 0.1162005 109.1121 0.162 second_trace 3
## 823 0.1162005 109.1121 0.162 second_trace 3
## 824 0.1162005 109.1121 0.162 second_trace 3
## 825 0.1162005 109.1121 0.162 second_trace 3
## 826 0.1162005 109.1121 0.162 second_trace 3
## 827 0.1162005 109.1121 0.162 second_trace 3
## 828 0.1162005 109.1121 0.162 second_trace 3
## 829 0.1162005 109.1121 0.162 second_trace 3
## 830 0.1162005 109.1121 0.162 second_trace 3
## 831 0.1162005 109.1121 0.162 second_trace 3
## 832 0.1162005 109.1121 0.162 mif1 3
## 833 0.1162005 109.1121 0.162 start 3
## 834 0.1162005 109.1121 0.162 first_trace 3
## 835 0.1162005 109.1121 0.162 first_trace 3
## 836 0.1162005 109.1121 0.162 first_trace 3
## 837 0.1162005 109.1121 0.162 first_trace 3
## 838 0.1162005 109.1121 0.162 first_trace 3
## 839 0.1162005 109.1121 0.162 first_trace 3
## 840 0.1162005 109.1121 0.162 first_trace 3
## 841 0.1162005 109.1121 0.162 first_trace 3
## 842 0.1162005 109.1121 0.162 first_trace 3
## 843 0.1162005 109.1121 0.162 first_trace 3
## 844 0.1162005 109.1121 0.162 first_trace 3
## 845 0.1162005 109.1121 0.162 first_trace 3
## 846 0.1162005 109.1121 0.162 first_trace 3
## 847 0.1162005 109.1121 0.162 first_trace 3
## 848 0.1162005 109.1121 0.162 first_trace 3
## 849 0.1162005 109.1121 0.162 first_trace 3
## 850 0.1162005 109.1121 0.162 first_trace 3
## 851 0.1162005 109.1121 0.162 first_trace 3
## 852 0.1162005 109.1121 0.162 first_trace 3
## 853 0.1162005 109.1121 0.162 first_trace 3
## 854 0.1162005 109.1121 0.162 first_trace 3
## 855 0.1162005 109.1121 0.162 first_trace 3
## 856 0.1162005 109.1121 0.162 first_trace 3
## 857 0.1162005 109.1121 0.162 first_trace 3
## 858 0.1162005 109.1121 0.162 first_trace 3
## 859 0.1162005 109.1121 0.162 first_trace 3
## 860 0.1162005 109.1121 0.162 first_trace 3
## 861 0.1162005 109.1121 0.162 first_trace 3
## 862 0.1162005 109.1121 0.162 first_trace 3
## 863 0.1162005 109.1121 0.162 first_trace 3
## 864 0.1162005 109.1121 0.162 first_trace 3
## 865 0.1162005 109.1121 0.162 first_trace 3
## 866 0.1162005 109.1121 0.162 first_trace 3
## 867 0.1162005 109.1121 0.162 first_trace 3
## 868 0.1162005 109.1121 0.162 first_trace 3
## 869 0.1162005 109.1121 0.162 first_trace 3
## 870 0.1162005 109.1121 0.162 first_trace 3
## 871 0.1162005 109.1121 0.162 first_trace 3
## 872 0.1162005 109.1121 0.162 first_trace 3
## 873 0.1162005 109.1121 0.162 first_trace 3
## 874 0.1162005 109.1121 0.162 first_trace 3
## 875 0.1162005 109.1121 0.162 first_trace 3
## 876 0.1162005 109.1121 0.162 first_trace 3
## 877 0.1162005 109.1121 0.162 first_trace 3
## 878 0.1162005 109.1121 0.162 first_trace 3
## 879 0.1162005 109.1121 0.162 first_trace 3
## 880 0.1162005 109.1121 0.162 first_trace 3
## 881 0.1162005 109.1121 0.162 first_trace 3
## 882 0.1162005 109.1121 0.162 first_trace 3
## 883 0.1162005 109.1121 0.162 first_trace 3
## 884 0.1162005 109.1121 0.162 first_trace 3
## 885 0.1162005 109.1121 0.162 second_trace 3
## 886 0.1162005 109.1121 0.162 second_trace 3
## 887 0.1162005 109.1121 0.162 second_trace 3
## 888 0.1162005 109.1121 0.162 second_trace 3
## 889 0.1162005 109.1121 0.162 second_trace 3
## 890 0.1162005 109.1121 0.162 second_trace 3
## 891 0.1162005 109.1121 0.162 second_trace 3
## 892 0.1162005 109.1121 0.162 second_trace 3
## 893 0.1162005 109.1121 0.162 second_trace 3
## 894 0.1162005 109.1121 0.162 second_trace 3
## 895 0.1162005 109.1121 0.162 second_trace 3
## 896 0.1162005 109.1121 0.162 second_trace 3
## 897 0.1162005 109.1121 0.162 second_trace 3
## 898 0.1162005 109.1121 0.162 second_trace 3
## 899 0.1162005 109.1121 0.162 second_trace 3
## 900 0.1162005 109.1121 0.162 second_trace 3
## 901 0.1162005 109.1121 0.162 second_trace 3
## 902 0.1162005 109.1121 0.162 second_trace 3
## 903 0.1162005 109.1121 0.162 second_trace 3
## 904 0.1162005 109.1121 0.162 second_trace 3
## 905 0.1162005 109.1121 0.162 second_trace 3
## 906 0.1162005 109.1121 0.162 second_trace 3
## 907 0.1162005 109.1121 0.162 second_trace 3
## 908 0.1162005 109.1121 0.162 second_trace 3
## 909 0.1162005 109.1121 0.162 second_trace 3
## 910 0.1162005 109.1121 0.162 second_trace 3
## 911 0.1162005 109.1121 0.162 second_trace 3
## 912 0.1162005 109.1121 0.162 second_trace 3
## 913 0.1162005 109.1121 0.162 second_trace 3
## 914 0.1162005 109.1121 0.162 second_trace 3
## 915 0.1162005 109.1121 0.162 second_trace 3
## 916 0.1162005 109.1121 0.162 second_trace 3
## 917 0.1162005 109.1121 0.162 second_trace 3
## 918 0.1162005 109.1121 0.162 second_trace 3
## 919 0.1162005 109.1121 0.162 second_trace 3
## 920 0.1162005 109.1121 0.162 second_trace 3
## 921 0.1162005 109.1121 0.162 second_trace 3
## 922 0.1162005 109.1121 0.162 second_trace 3
## 923 0.1162005 109.1121 0.162 second_trace 3
## 924 0.1162005 109.1121 0.162 second_trace 3
## 925 0.1162005 109.1121 0.162 second_trace 3
## 926 0.1162005 109.1121 0.162 second_trace 3
## 927 0.1162005 109.1121 0.162 second_trace 3
## 928 0.1162005 109.1121 0.162 second_trace 3
## 929 0.1162005 109.1121 0.162 second_trace 3
## 930 0.1162005 109.1121 0.162 second_trace 3
## 931 0.1162005 109.1121 0.162 second_trace 3
## 932 0.1162005 109.1121 0.162 second_trace 3
## 933 0.1162005 109.1121 0.162 second_trace 3
## 934 0.1162005 109.1121 0.162 second_trace 3
## 935 0.1162005 109.1121 0.162 second_trace 3
## 936 0.1162005 109.1121 0.162 mif1 3
## 937 0.1162005 109.1121 0.162 start 3
## 938 0.1162005 109.1121 0.162 first_trace 3
## 939 0.1162005 109.1121 0.162 first_trace 3
## 940 0.1162005 109.1121 0.162 first_trace 3
## 941 0.1162005 109.1121 0.162 first_trace 3
## 942 0.1162005 109.1121 0.162 first_trace 3
## 943 0.1162005 109.1121 0.162 first_trace 3
## 944 0.1162005 109.1121 0.162 first_trace 3
## 945 0.1162005 109.1121 0.162 first_trace 3
## 946 0.1162005 109.1121 0.162 first_trace 3
## 947 0.1162005 109.1121 0.162 first_trace 3
## 948 0.1162005 109.1121 0.162 first_trace 3
## 949 0.1162005 109.1121 0.162 first_trace 3
## 950 0.1162005 109.1121 0.162 first_trace 3
## 951 0.1162005 109.1121 0.162 first_trace 3
## 952 0.1162005 109.1121 0.162 first_trace 3
## 953 0.1162005 109.1121 0.162 first_trace 3
## 954 0.1162005 109.1121 0.162 first_trace 3
## 955 0.1162005 109.1121 0.162 first_trace 3
## 956 0.1162005 109.1121 0.162 first_trace 3
## 957 0.1162005 109.1121 0.162 first_trace 3
## 958 0.1162005 109.1121 0.162 first_trace 3
## 959 0.1162005 109.1121 0.162 first_trace 3
## 960 0.1162005 109.1121 0.162 first_trace 3
## 961 0.1162005 109.1121 0.162 first_trace 3
## 962 0.1162005 109.1121 0.162 first_trace 3
## 963 0.1162005 109.1121 0.162 first_trace 3
## 964 0.1162005 109.1121 0.162 first_trace 3
## 965 0.1162005 109.1121 0.162 first_trace 3
## 966 0.1162005 109.1121 0.162 first_trace 3
## 967 0.1162005 109.1121 0.162 first_trace 3
## 968 0.1162005 109.1121 0.162 first_trace 3
## 969 0.1162005 109.1121 0.162 first_trace 3
## 970 0.1162005 109.1121 0.162 first_trace 3
## 971 0.1162005 109.1121 0.162 first_trace 3
## 972 0.1162005 109.1121 0.162 first_trace 3
## 973 0.1162005 109.1121 0.162 first_trace 3
## 974 0.1162005 109.1121 0.162 first_trace 3
## 975 0.1162005 109.1121 0.162 first_trace 3
## 976 0.1162005 109.1121 0.162 first_trace 3
## 977 0.1162005 109.1121 0.162 first_trace 3
## 978 0.1162005 109.1121 0.162 first_trace 3
## 979 0.1162005 109.1121 0.162 first_trace 3
## 980 0.1162005 109.1121 0.162 first_trace 3
## 981 0.1162005 109.1121 0.162 first_trace 3
## 982 0.1162005 109.1121 0.162 first_trace 3
## 983 0.1162005 109.1121 0.162 first_trace 3
## 984 0.1162005 109.1121 0.162 first_trace 3
## 985 0.1162005 109.1121 0.162 first_trace 3
## 986 0.1162005 109.1121 0.162 first_trace 3
## 987 0.1162005 109.1121 0.162 first_trace 3
## 988 0.1162005 109.1121 0.162 first_trace 3
## 989 0.1162005 109.1121 0.162 second_trace 3
## 990 0.1162005 109.1121 0.162 second_trace 3
## 991 0.1162005 109.1121 0.162 second_trace 3
## 992 0.1162005 109.1121 0.162 second_trace 3
## 993 0.1162005 109.1121 0.162 second_trace 3
## 994 0.1162005 109.1121 0.162 second_trace 3
## 995 0.1162005 109.1121 0.162 second_trace 3
## 996 0.1162005 109.1121 0.162 second_trace 3
## 997 0.1162005 109.1121 0.162 second_trace 3
## 998 0.1162005 109.1121 0.162 second_trace 3
## 999 0.1162005 109.1121 0.162 second_trace 3
## 1000 0.1162005 109.1121 0.162 second_trace 3
## 1001 0.1162005 109.1121 0.162 second_trace 3
## 1002 0.1162005 109.1121 0.162 second_trace 3
## 1003 0.1162005 109.1121 0.162 second_trace 3
## 1004 0.1162005 109.1121 0.162 second_trace 3
## 1005 0.1162005 109.1121 0.162 second_trace 3
## 1006 0.1162005 109.1121 0.162 second_trace 3
## 1007 0.1162005 109.1121 0.162 second_trace 3
## 1008 0.1162005 109.1121 0.162 second_trace 3
## 1009 0.1162005 109.1121 0.162 second_trace 3
## 1010 0.1162005 109.1121 0.162 second_trace 3
## 1011 0.1162005 109.1121 0.162 second_trace 3
## 1012 0.1162005 109.1121 0.162 second_trace 3
## 1013 0.1162005 109.1121 0.162 second_trace 3
## 1014 0.1162005 109.1121 0.162 second_trace 3
## 1015 0.1162005 109.1121 0.162 second_trace 3
## 1016 0.1162005 109.1121 0.162 second_trace 3
## 1017 0.1162005 109.1121 0.162 second_trace 3
## 1018 0.1162005 109.1121 0.162 second_trace 3
## 1019 0.1162005 109.1121 0.162 second_trace 3
## 1020 0.1162005 109.1121 0.162 second_trace 3
## 1021 0.1162005 109.1121 0.162 second_trace 3
## 1022 0.1162005 109.1121 0.162 second_trace 3
## 1023 0.1162005 109.1121 0.162 second_trace 3
## 1024 0.1162005 109.1121 0.162 second_trace 3
## 1025 0.1162005 109.1121 0.162 second_trace 3
## 1026 0.1162005 109.1121 0.162 second_trace 3
## 1027 0.1162005 109.1121 0.162 second_trace 3
## 1028 0.1162005 109.1121 0.162 second_trace 3
## 1029 0.1162005 109.1121 0.162 second_trace 3
## 1030 0.1162005 109.1121 0.162 second_trace 3
## 1031 0.1162005 109.1121 0.162 second_trace 3
## 1032 0.1162005 109.1121 0.162 second_trace 3
## 1033 0.1162005 109.1121 0.162 second_trace 3
## 1034 0.1162005 109.1121 0.162 second_trace 3
## 1035 0.1162005 109.1121 0.162 second_trace 3
## 1036 0.1162005 109.1121 0.162 second_trace 3
## 1037 0.1162005 109.1121 0.162 second_trace 3
## 1038 0.1162005 109.1121 0.162 second_trace 3
## 1039 0.1162005 109.1121 0.162 second_trace 3
## 1040 0.1162005 109.1121 0.162 mif1 3
## 1041 0.1162005 109.1121 0.162 start 3
## 1042 0.1162005 109.1121 0.162 first_trace 3
## 1043 0.1162005 109.1121 0.162 first_trace 3
## 1044 0.1162005 109.1121 0.162 first_trace 3
## 1045 0.1162005 109.1121 0.162 first_trace 3
## 1046 0.1162005 109.1121 0.162 first_trace 3
## 1047 0.1162005 109.1121 0.162 first_trace 3
## 1048 0.1162005 109.1121 0.162 first_trace 3
## 1049 0.1162005 109.1121 0.162 first_trace 3
## 1050 0.1162005 109.1121 0.162 first_trace 3
## 1051 0.1162005 109.1121 0.162 first_trace 3
## 1052 0.1162005 109.1121 0.162 first_trace 3
## 1053 0.1162005 109.1121 0.162 first_trace 3
## 1054 0.1162005 109.1121 0.162 first_trace 3
## 1055 0.1162005 109.1121 0.162 first_trace 3
## 1056 0.1162005 109.1121 0.162 first_trace 3
## 1057 0.1162005 109.1121 0.162 first_trace 3
## 1058 0.1162005 109.1121 0.162 first_trace 3
## 1059 0.1162005 109.1121 0.162 first_trace 3
## 1060 0.1162005 109.1121 0.162 first_trace 3
## 1061 0.1162005 109.1121 0.162 first_trace 3
## 1062 0.1162005 109.1121 0.162 first_trace 3
## 1063 0.1162005 109.1121 0.162 first_trace 3
## 1064 0.1162005 109.1121 0.162 first_trace 3
## 1065 0.1162005 109.1121 0.162 first_trace 3
## 1066 0.1162005 109.1121 0.162 first_trace 3
## 1067 0.1162005 109.1121 0.162 first_trace 3
## 1068 0.1162005 109.1121 0.162 first_trace 3
## 1069 0.1162005 109.1121 0.162 first_trace 3
## 1070 0.1162005 109.1121 0.162 first_trace 3
## 1071 0.1162005 109.1121 0.162 first_trace 3
## 1072 0.1162005 109.1121 0.162 first_trace 3
## 1073 0.1162005 109.1121 0.162 first_trace 3
## 1074 0.1162005 109.1121 0.162 first_trace 3
## 1075 0.1162005 109.1121 0.162 first_trace 3
## 1076 0.1162005 109.1121 0.162 first_trace 3
## 1077 0.1162005 109.1121 0.162 first_trace 3
## 1078 0.1162005 109.1121 0.162 first_trace 3
## 1079 0.1162005 109.1121 0.162 first_trace 3
## 1080 0.1162005 109.1121 0.162 first_trace 3
## 1081 0.1162005 109.1121 0.162 first_trace 3
## 1082 0.1162005 109.1121 0.162 first_trace 3
## 1083 0.1162005 109.1121 0.162 first_trace 3
## 1084 0.1162005 109.1121 0.162 first_trace 3
## 1085 0.1162005 109.1121 0.162 first_trace 3
## 1086 0.1162005 109.1121 0.162 first_trace 3
## 1087 0.1162005 109.1121 0.162 first_trace 3
## 1088 0.1162005 109.1121 0.162 first_trace 3
## 1089 0.1162005 109.1121 0.162 first_trace 3
## 1090 0.1162005 109.1121 0.162 first_trace 3
## 1091 0.1162005 109.1121 0.162 first_trace 3
## 1092 0.1162005 109.1121 0.162 first_trace 3
## 1093 0.1162005 109.1121 0.162 second_trace 3
## 1094 0.1162005 109.1121 0.162 second_trace 3
## 1095 0.1162005 109.1121 0.162 second_trace 3
## 1096 0.1162005 109.1121 0.162 second_trace 3
## 1097 0.1162005 109.1121 0.162 second_trace 3
## 1098 0.1162005 109.1121 0.162 second_trace 3
## 1099 0.1162005 109.1121 0.162 second_trace 3
## 1100 0.1162005 109.1121 0.162 second_trace 3
## 1101 0.1162005 109.1121 0.162 second_trace 3
## 1102 0.1162005 109.1121 0.162 second_trace 3
## 1103 0.1162005 109.1121 0.162 second_trace 3
## 1104 0.1162005 109.1121 0.162 second_trace 3
## 1105 0.1162005 109.1121 0.162 second_trace 3
## 1106 0.1162005 109.1121 0.162 second_trace 3
## 1107 0.1162005 109.1121 0.162 second_trace 3
## 1108 0.1162005 109.1121 0.162 second_trace 3
## 1109 0.1162005 109.1121 0.162 second_trace 3
## 1110 0.1162005 109.1121 0.162 second_trace 3
## 1111 0.1162005 109.1121 0.162 second_trace 3
## 1112 0.1162005 109.1121 0.162 second_trace 3
## 1113 0.1162005 109.1121 0.162 second_trace 3
## 1114 0.1162005 109.1121 0.162 second_trace 3
## 1115 0.1162005 109.1121 0.162 second_trace 3
## 1116 0.1162005 109.1121 0.162 second_trace 3
## 1117 0.1162005 109.1121 0.162 second_trace 3
## 1118 0.1162005 109.1121 0.162 second_trace 3
## 1119 0.1162005 109.1121 0.162 second_trace 3
## 1120 0.1162005 109.1121 0.162 second_trace 3
## 1121 0.1162005 109.1121 0.162 second_trace 3
## 1122 0.1162005 109.1121 0.162 second_trace 3
## 1123 0.1162005 109.1121 0.162 second_trace 3
## 1124 0.1162005 109.1121 0.162 second_trace 3
## 1125 0.1162005 109.1121 0.162 second_trace 3
## 1126 0.1162005 109.1121 0.162 second_trace 3
## 1127 0.1162005 109.1121 0.162 second_trace 3
## 1128 0.1162005 109.1121 0.162 second_trace 3
## 1129 0.1162005 109.1121 0.162 second_trace 3
## 1130 0.1162005 109.1121 0.162 second_trace 3
## 1131 0.1162005 109.1121 0.162 second_trace 3
## 1132 0.1162005 109.1121 0.162 second_trace 3
## 1133 0.1162005 109.1121 0.162 second_trace 3
## 1134 0.1162005 109.1121 0.162 second_trace 3
## 1135 0.1162005 109.1121 0.162 second_trace 3
## 1136 0.1162005 109.1121 0.162 second_trace 3
## 1137 0.1162005 109.1121 0.162 second_trace 3
## 1138 0.1162005 109.1121 0.162 second_trace 3
## 1139 0.1162005 109.1121 0.162 second_trace 3
## 1140 0.1162005 109.1121 0.162 second_trace 3
## 1141 0.1162005 109.1121 0.162 second_trace 3
## 1142 0.1162005 109.1121 0.162 second_trace 3
## 1143 0.1162005 109.1121 0.162 second_trace 3
## 1144 0.1162005 109.1121 0.162 mif1 3
## 1145 0.1162005 109.1121 0.162 start 3
## 1146 0.1162005 109.1121 0.162 first_trace 3
## 1147 0.1162005 109.1121 0.162 first_trace 3
## 1148 0.1162005 109.1121 0.162 first_trace 3
## 1149 0.1162005 109.1121 0.162 first_trace 3
## 1150 0.1162005 109.1121 0.162 first_trace 3
## 1151 0.1162005 109.1121 0.162 first_trace 3
## 1152 0.1162005 109.1121 0.162 first_trace 3
## 1153 0.1162005 109.1121 0.162 first_trace 3
## 1154 0.1162005 109.1121 0.162 first_trace 3
## 1155 0.1162005 109.1121 0.162 first_trace 3
## 1156 0.1162005 109.1121 0.162 first_trace 3
## 1157 0.1162005 109.1121 0.162 first_trace 3
## 1158 0.1162005 109.1121 0.162 first_trace 3
## 1159 0.1162005 109.1121 0.162 first_trace 3
## 1160 0.1162005 109.1121 0.162 first_trace 3
## 1161 0.1162005 109.1121 0.162 first_trace 3
## 1162 0.1162005 109.1121 0.162 first_trace 3
## 1163 0.1162005 109.1121 0.162 first_trace 3
## 1164 0.1162005 109.1121 0.162 first_trace 3
## 1165 0.1162005 109.1121 0.162 first_trace 3
## 1166 0.1162005 109.1121 0.162 first_trace 3
## 1167 0.1162005 109.1121 0.162 first_trace 3
## 1168 0.1162005 109.1121 0.162 first_trace 3
## 1169 0.1162005 109.1121 0.162 first_trace 3
## 1170 0.1162005 109.1121 0.162 first_trace 3
## 1171 0.1162005 109.1121 0.162 first_trace 3
## 1172 0.1162005 109.1121 0.162 first_trace 3
## 1173 0.1162005 109.1121 0.162 first_trace 3
## 1174 0.1162005 109.1121 0.162 first_trace 3
## 1175 0.1162005 109.1121 0.162 first_trace 3
## 1176 0.1162005 109.1121 0.162 first_trace 3
## 1177 0.1162005 109.1121 0.162 first_trace 3
## 1178 0.1162005 109.1121 0.162 first_trace 3
## 1179 0.1162005 109.1121 0.162 first_trace 3
## 1180 0.1162005 109.1121 0.162 first_trace 3
## 1181 0.1162005 109.1121 0.162 first_trace 3
## 1182 0.1162005 109.1121 0.162 first_trace 3
## 1183 0.1162005 109.1121 0.162 first_trace 3
## 1184 0.1162005 109.1121 0.162 first_trace 3
## 1185 0.1162005 109.1121 0.162 first_trace 3
## 1186 0.1162005 109.1121 0.162 first_trace 3
## 1187 0.1162005 109.1121 0.162 first_trace 3
## 1188 0.1162005 109.1121 0.162 first_trace 3
## 1189 0.1162005 109.1121 0.162 first_trace 3
## 1190 0.1162005 109.1121 0.162 first_trace 3
## 1191 0.1162005 109.1121 0.162 first_trace 3
## 1192 0.1162005 109.1121 0.162 first_trace 3
## 1193 0.1162005 109.1121 0.162 first_trace 3
## 1194 0.1162005 109.1121 0.162 first_trace 3
## 1195 0.1162005 109.1121 0.162 first_trace 3
## 1196 0.1162005 109.1121 0.162 first_trace 3
## 1197 0.1162005 109.1121 0.162 second_trace 3
## 1198 0.1162005 109.1121 0.162 second_trace 3
## 1199 0.1162005 109.1121 0.162 second_trace 3
## 1200 0.1162005 109.1121 0.162 second_trace 3
## 1201 0.1162005 109.1121 0.162 second_trace 3
## 1202 0.1162005 109.1121 0.162 second_trace 3
## 1203 0.1162005 109.1121 0.162 second_trace 3
## 1204 0.1162005 109.1121 0.162 second_trace 3
## 1205 0.1162005 109.1121 0.162 second_trace 3
## 1206 0.1162005 109.1121 0.162 second_trace 3
## 1207 0.1162005 109.1121 0.162 second_trace 3
## 1208 0.1162005 109.1121 0.162 second_trace 3
## 1209 0.1162005 109.1121 0.162 second_trace 3
## 1210 0.1162005 109.1121 0.162 second_trace 3
## 1211 0.1162005 109.1121 0.162 second_trace 3
## 1212 0.1162005 109.1121 0.162 second_trace 3
## 1213 0.1162005 109.1121 0.162 second_trace 3
## 1214 0.1162005 109.1121 0.162 second_trace 3
## 1215 0.1162005 109.1121 0.162 second_trace 3
## 1216 0.1162005 109.1121 0.162 second_trace 3
## 1217 0.1162005 109.1121 0.162 second_trace 3
## 1218 0.1162005 109.1121 0.162 second_trace 3
## 1219 0.1162005 109.1121 0.162 second_trace 3
## 1220 0.1162005 109.1121 0.162 second_trace 3
## 1221 0.1162005 109.1121 0.162 second_trace 3
## 1222 0.1162005 109.1121 0.162 second_trace 3
## 1223 0.1162005 109.1121 0.162 second_trace 3
## 1224 0.1162005 109.1121 0.162 second_trace 3
## 1225 0.1162005 109.1121 0.162 second_trace 3
## 1226 0.1162005 109.1121 0.162 second_trace 3
## 1227 0.1162005 109.1121 0.162 second_trace 3
## 1228 0.1162005 109.1121 0.162 second_trace 3
## 1229 0.1162005 109.1121 0.162 second_trace 3
## 1230 0.1162005 109.1121 0.162 second_trace 3
## 1231 0.1162005 109.1121 0.162 second_trace 3
## 1232 0.1162005 109.1121 0.162 second_trace 3
## 1233 0.1162005 109.1121 0.162 second_trace 3
## 1234 0.1162005 109.1121 0.162 second_trace 3
## 1235 0.1162005 109.1121 0.162 second_trace 3
## 1236 0.1162005 109.1121 0.162 second_trace 3
## 1237 0.1162005 109.1121 0.162 second_trace 3
## 1238 0.1162005 109.1121 0.162 second_trace 3
## 1239 0.1162005 109.1121 0.162 second_trace 3
## 1240 0.1162005 109.1121 0.162 second_trace 3
## 1241 0.1162005 109.1121 0.162 second_trace 3
## 1242 0.1162005 109.1121 0.162 second_trace 3
## 1243 0.1162005 109.1121 0.162 second_trace 3
## 1244 0.1162005 109.1121 0.162 second_trace 3
## 1245 0.1162005 109.1121 0.162 second_trace 3
## 1246 0.1162005 109.1121 0.162 second_trace 3
## 1247 0.1162005 109.1121 0.162 second_trace 3
## 1248 0.1162005 109.1121 0.162 mif1 3
## 1249 0.1162005 109.1121 0.162 start 3
## 1250 0.1162005 109.1121 0.162 first_trace 3
## 1251 0.1162005 109.1121 0.162 first_trace 3
## 1252 0.1162005 109.1121 0.162 first_trace 3
## 1253 0.1162005 109.1121 0.162 first_trace 3
## 1254 0.1162005 109.1121 0.162 first_trace 3
## 1255 0.1162005 109.1121 0.162 first_trace 3
## 1256 0.1162005 109.1121 0.162 first_trace 3
## 1257 0.1162005 109.1121 0.162 first_trace 3
## 1258 0.1162005 109.1121 0.162 first_trace 3
## 1259 0.1162005 109.1121 0.162 first_trace 3
## 1260 0.1162005 109.1121 0.162 first_trace 3
## 1261 0.1162005 109.1121 0.162 first_trace 3
## 1262 0.1162005 109.1121 0.162 first_trace 3
## 1263 0.1162005 109.1121 0.162 first_trace 3
## 1264 0.1162005 109.1121 0.162 first_trace 3
## 1265 0.1162005 109.1121 0.162 first_trace 3
## 1266 0.1162005 109.1121 0.162 first_trace 3
## 1267 0.1162005 109.1121 0.162 first_trace 3
## 1268 0.1162005 109.1121 0.162 first_trace 3
## 1269 0.1162005 109.1121 0.162 first_trace 3
## 1270 0.1162005 109.1121 0.162 first_trace 3
## 1271 0.1162005 109.1121 0.162 first_trace 3
## 1272 0.1162005 109.1121 0.162 first_trace 3
## 1273 0.1162005 109.1121 0.162 first_trace 3
## 1274 0.1162005 109.1121 0.162 first_trace 3
## 1275 0.1162005 109.1121 0.162 first_trace 3
## 1276 0.1162005 109.1121 0.162 first_trace 3
## 1277 0.1162005 109.1121 0.162 first_trace 3
## 1278 0.1162005 109.1121 0.162 first_trace 3
## 1279 0.1162005 109.1121 0.162 first_trace 3
## 1280 0.1162005 109.1121 0.162 first_trace 3
## 1281 0.1162005 109.1121 0.162 first_trace 3
## 1282 0.1162005 109.1121 0.162 first_trace 3
## 1283 0.1162005 109.1121 0.162 first_trace 3
## 1284 0.1162005 109.1121 0.162 first_trace 3
## 1285 0.1162005 109.1121 0.162 first_trace 3
## 1286 0.1162005 109.1121 0.162 first_trace 3
## 1287 0.1162005 109.1121 0.162 first_trace 3
## 1288 0.1162005 109.1121 0.162 first_trace 3
## 1289 0.1162005 109.1121 0.162 first_trace 3
## 1290 0.1162005 109.1121 0.162 first_trace 3
## 1291 0.1162005 109.1121 0.162 first_trace 3
## 1292 0.1162005 109.1121 0.162 first_trace 3
## 1293 0.1162005 109.1121 0.162 first_trace 3
## 1294 0.1162005 109.1121 0.162 first_trace 3
## 1295 0.1162005 109.1121 0.162 first_trace 3
## 1296 0.1162005 109.1121 0.162 first_trace 3
## 1297 0.1162005 109.1121 0.162 first_trace 3
## 1298 0.1162005 109.1121 0.162 first_trace 3
## 1299 0.1162005 109.1121 0.162 first_trace 3
## 1300 0.1162005 109.1121 0.162 first_trace 3
## 1301 0.1162005 109.1121 0.162 second_trace 3
## 1302 0.1162005 109.1121 0.162 second_trace 3
## 1303 0.1162005 109.1121 0.162 second_trace 3
## 1304 0.1162005 109.1121 0.162 second_trace 3
## 1305 0.1162005 109.1121 0.162 second_trace 3
## 1306 0.1162005 109.1121 0.162 second_trace 3
## 1307 0.1162005 109.1121 0.162 second_trace 3
## 1308 0.1162005 109.1121 0.162 second_trace 3
## 1309 0.1162005 109.1121 0.162 second_trace 3
## 1310 0.1162005 109.1121 0.162 second_trace 3
## 1311 0.1162005 109.1121 0.162 second_trace 3
## 1312 0.1162005 109.1121 0.162 second_trace 3
## 1313 0.1162005 109.1121 0.162 second_trace 3
## 1314 0.1162005 109.1121 0.162 second_trace 3
## 1315 0.1162005 109.1121 0.162 second_trace 3
## 1316 0.1162005 109.1121 0.162 second_trace 3
## 1317 0.1162005 109.1121 0.162 second_trace 3
## 1318 0.1162005 109.1121 0.162 second_trace 3
## 1319 0.1162005 109.1121 0.162 second_trace 3
## 1320 0.1162005 109.1121 0.162 second_trace 3
## 1321 0.1162005 109.1121 0.162 second_trace 3
## 1322 0.1162005 109.1121 0.162 second_trace 3
## 1323 0.1162005 109.1121 0.162 second_trace 3
## 1324 0.1162005 109.1121 0.162 second_trace 3
## 1325 0.1162005 109.1121 0.162 second_trace 3
## 1326 0.1162005 109.1121 0.162 second_trace 3
## 1327 0.1162005 109.1121 0.162 second_trace 3
## 1328 0.1162005 109.1121 0.162 second_trace 3
## 1329 0.1162005 109.1121 0.162 second_trace 3
## 1330 0.1162005 109.1121 0.162 second_trace 3
## 1331 0.1162005 109.1121 0.162 second_trace 3
## 1332 0.1162005 109.1121 0.162 second_trace 3
## 1333 0.1162005 109.1121 0.162 second_trace 3
## 1334 0.1162005 109.1121 0.162 second_trace 3
## 1335 0.1162005 109.1121 0.162 second_trace 3
## 1336 0.1162005 109.1121 0.162 second_trace 3
## 1337 0.1162005 109.1121 0.162 second_trace 3
## 1338 0.1162005 109.1121 0.162 second_trace 3
## 1339 0.1162005 109.1121 0.162 second_trace 3
## 1340 0.1162005 109.1121 0.162 second_trace 3
## 1341 0.1162005 109.1121 0.162 second_trace 3
## 1342 0.1162005 109.1121 0.162 second_trace 3
## 1343 0.1162005 109.1121 0.162 second_trace 3
## 1344 0.1162005 109.1121 0.162 second_trace 3
## 1345 0.1162005 109.1121 0.162 second_trace 3
## 1346 0.1162005 109.1121 0.162 second_trace 3
## 1347 0.1162005 109.1121 0.162 second_trace 3
## 1348 0.1162005 109.1121 0.162 second_trace 3
## 1349 0.1162005 109.1121 0.162 second_trace 3
## 1350 0.1162005 109.1121 0.162 second_trace 3
## 1351 0.1162005 109.1121 0.162 second_trace 3
## 1352 0.1162005 109.1121 0.162 mif1 3
## 1353 0.1162005 109.1121 0.162 start 3
## 1354 0.1162005 109.1121 0.162 first_trace 3
## 1355 0.1162005 109.1121 0.162 first_trace 3
## 1356 0.1162005 109.1121 0.162 first_trace 3
## 1357 0.1162005 109.1121 0.162 first_trace 3
## 1358 0.1162005 109.1121 0.162 first_trace 3
## 1359 0.1162005 109.1121 0.162 first_trace 3
## 1360 0.1162005 109.1121 0.162 first_trace 3
## 1361 0.1162005 109.1121 0.162 first_trace 3
## 1362 0.1162005 109.1121 0.162 first_trace 3
## 1363 0.1162005 109.1121 0.162 first_trace 3
## 1364 0.1162005 109.1121 0.162 first_trace 3
## 1365 0.1162005 109.1121 0.162 first_trace 3
## 1366 0.1162005 109.1121 0.162 first_trace 3
## 1367 0.1162005 109.1121 0.162 first_trace 3
## 1368 0.1162005 109.1121 0.162 first_trace 3
## 1369 0.1162005 109.1121 0.162 first_trace 3
## 1370 0.1162005 109.1121 0.162 first_trace 3
## 1371 0.1162005 109.1121 0.162 first_trace 3
## 1372 0.1162005 109.1121 0.162 first_trace 3
## 1373 0.1162005 109.1121 0.162 first_trace 3
## 1374 0.1162005 109.1121 0.162 first_trace 3
## 1375 0.1162005 109.1121 0.162 first_trace 3
## 1376 0.1162005 109.1121 0.162 first_trace 3
## 1377 0.1162005 109.1121 0.162 first_trace 3
## 1378 0.1162005 109.1121 0.162 first_trace 3
## 1379 0.1162005 109.1121 0.162 first_trace 3
## 1380 0.1162005 109.1121 0.162 first_trace 3
## 1381 0.1162005 109.1121 0.162 first_trace 3
## 1382 0.1162005 109.1121 0.162 first_trace 3
## 1383 0.1162005 109.1121 0.162 first_trace 3
## 1384 0.1162005 109.1121 0.162 first_trace 3
## 1385 0.1162005 109.1121 0.162 first_trace 3
## 1386 0.1162005 109.1121 0.162 first_trace 3
## 1387 0.1162005 109.1121 0.162 first_trace 3
## 1388 0.1162005 109.1121 0.162 first_trace 3
## 1389 0.1162005 109.1121 0.162 first_trace 3
## 1390 0.1162005 109.1121 0.162 first_trace 3
## 1391 0.1162005 109.1121 0.162 first_trace 3
## 1392 0.1162005 109.1121 0.162 first_trace 3
## 1393 0.1162005 109.1121 0.162 first_trace 3
## 1394 0.1162005 109.1121 0.162 first_trace 3
## 1395 0.1162005 109.1121 0.162 first_trace 3
## 1396 0.1162005 109.1121 0.162 first_trace 3
## 1397 0.1162005 109.1121 0.162 first_trace 3
## 1398 0.1162005 109.1121 0.162 first_trace 3
## 1399 0.1162005 109.1121 0.162 first_trace 3
## 1400 0.1162005 109.1121 0.162 first_trace 3
## 1401 0.1162005 109.1121 0.162 first_trace 3
## 1402 0.1162005 109.1121 0.162 first_trace 3
## 1403 0.1162005 109.1121 0.162 first_trace 3
## 1404 0.1162005 109.1121 0.162 first_trace 3
## 1405 0.1162005 109.1121 0.162 second_trace 3
## 1406 0.1162005 109.1121 0.162 second_trace 3
## 1407 0.1162005 109.1121 0.162 second_trace 3
## 1408 0.1162005 109.1121 0.162 second_trace 3
## 1409 0.1162005 109.1121 0.162 second_trace 3
## 1410 0.1162005 109.1121 0.162 second_trace 3
## 1411 0.1162005 109.1121 0.162 second_trace 3
## 1412 0.1162005 109.1121 0.162 second_trace 3
## 1413 0.1162005 109.1121 0.162 second_trace 3
## 1414 0.1162005 109.1121 0.162 second_trace 3
## 1415 0.1162005 109.1121 0.162 second_trace 3
## 1416 0.1162005 109.1121 0.162 second_trace 3
## 1417 0.1162005 109.1121 0.162 second_trace 3
## 1418 0.1162005 109.1121 0.162 second_trace 3
## 1419 0.1162005 109.1121 0.162 second_trace 3
## 1420 0.1162005 109.1121 0.162 second_trace 3
## 1421 0.1162005 109.1121 0.162 second_trace 3
## 1422 0.1162005 109.1121 0.162 second_trace 3
## 1423 0.1162005 109.1121 0.162 second_trace 3
## 1424 0.1162005 109.1121 0.162 second_trace 3
## 1425 0.1162005 109.1121 0.162 second_trace 3
## 1426 0.1162005 109.1121 0.162 second_trace 3
## 1427 0.1162005 109.1121 0.162 second_trace 3
## 1428 0.1162005 109.1121 0.162 second_trace 3
## 1429 0.1162005 109.1121 0.162 second_trace 3
## 1430 0.1162005 109.1121 0.162 second_trace 3
## 1431 0.1162005 109.1121 0.162 second_trace 3
## 1432 0.1162005 109.1121 0.162 second_trace 3
## 1433 0.1162005 109.1121 0.162 second_trace 3
## 1434 0.1162005 109.1121 0.162 second_trace 3
## 1435 0.1162005 109.1121 0.162 second_trace 3
## 1436 0.1162005 109.1121 0.162 second_trace 3
## 1437 0.1162005 109.1121 0.162 second_trace 3
## 1438 0.1162005 109.1121 0.162 second_trace 3
## 1439 0.1162005 109.1121 0.162 second_trace 3
## 1440 0.1162005 109.1121 0.162 second_trace 3
## 1441 0.1162005 109.1121 0.162 second_trace 3
## 1442 0.1162005 109.1121 0.162 second_trace 3
## 1443 0.1162005 109.1121 0.162 second_trace 3
## 1444 0.1162005 109.1121 0.162 second_trace 3
## 1445 0.1162005 109.1121 0.162 second_trace 3
## 1446 0.1162005 109.1121 0.162 second_trace 3
## 1447 0.1162005 109.1121 0.162 second_trace 3
## 1448 0.1162005 109.1121 0.162 second_trace 3
## 1449 0.1162005 109.1121 0.162 second_trace 3
## 1450 0.1162005 109.1121 0.162 second_trace 3
## 1451 0.1162005 109.1121 0.162 second_trace 3
## 1452 0.1162005 109.1121 0.162 second_trace 3
## 1453 0.1162005 109.1121 0.162 second_trace 3
## 1454 0.1162005 109.1121 0.162 second_trace 3
## 1455 0.1162005 109.1121 0.162 second_trace 3
## 1456 0.1162005 109.1121 0.162 mif1 3
## 1457 0.1162005 109.1121 0.162 start 3
## 1458 0.1162005 109.1121 0.162 first_trace 3
## 1459 0.1162005 109.1121 0.162 first_trace 3
## 1460 0.1162005 109.1121 0.162 first_trace 3
## 1461 0.1162005 109.1121 0.162 first_trace 3
## 1462 0.1162005 109.1121 0.162 first_trace 3
## 1463 0.1162005 109.1121 0.162 first_trace 3
## 1464 0.1162005 109.1121 0.162 first_trace 3
## 1465 0.1162005 109.1121 0.162 first_trace 3
## 1466 0.1162005 109.1121 0.162 first_trace 3
## 1467 0.1162005 109.1121 0.162 first_trace 3
## 1468 0.1162005 109.1121 0.162 first_trace 3
## 1469 0.1162005 109.1121 0.162 first_trace 3
## 1470 0.1162005 109.1121 0.162 first_trace 3
## 1471 0.1162005 109.1121 0.162 first_trace 3
## 1472 0.1162005 109.1121 0.162 first_trace 3
## 1473 0.1162005 109.1121 0.162 first_trace 3
## 1474 0.1162005 109.1121 0.162 first_trace 3
## 1475 0.1162005 109.1121 0.162 first_trace 3
## 1476 0.1162005 109.1121 0.162 first_trace 3
## 1477 0.1162005 109.1121 0.162 first_trace 3
## 1478 0.1162005 109.1121 0.162 first_trace 3
## 1479 0.1162005 109.1121 0.162 first_trace 3
## 1480 0.1162005 109.1121 0.162 first_trace 3
## 1481 0.1162005 109.1121 0.162 first_trace 3
## 1482 0.1162005 109.1121 0.162 first_trace 3
## 1483 0.1162005 109.1121 0.162 first_trace 3
## 1484 0.1162005 109.1121 0.162 first_trace 3
## 1485 0.1162005 109.1121 0.162 first_trace 3
## 1486 0.1162005 109.1121 0.162 first_trace 3
## 1487 0.1162005 109.1121 0.162 first_trace 3
## 1488 0.1162005 109.1121 0.162 first_trace 3
## 1489 0.1162005 109.1121 0.162 first_trace 3
## 1490 0.1162005 109.1121 0.162 first_trace 3
## 1491 0.1162005 109.1121 0.162 first_trace 3
## 1492 0.1162005 109.1121 0.162 first_trace 3
## 1493 0.1162005 109.1121 0.162 first_trace 3
## 1494 0.1162005 109.1121 0.162 first_trace 3
## 1495 0.1162005 109.1121 0.162 first_trace 3
## 1496 0.1162005 109.1121 0.162 first_trace 3
## 1497 0.1162005 109.1121 0.162 first_trace 3
## 1498 0.1162005 109.1121 0.162 first_trace 3
## 1499 0.1162005 109.1121 0.162 first_trace 3
## 1500 0.1162005 109.1121 0.162 first_trace 3
## 1501 0.1162005 109.1121 0.162 first_trace 3
## 1502 0.1162005 109.1121 0.162 first_trace 3
## 1503 0.1162005 109.1121 0.162 first_trace 3
## 1504 0.1162005 109.1121 0.162 first_trace 3
## 1505 0.1162005 109.1121 0.162 first_trace 3
## 1506 0.1162005 109.1121 0.162 first_trace 3
## 1507 0.1162005 109.1121 0.162 first_trace 3
## 1508 0.1162005 109.1121 0.162 first_trace 3
## 1509 0.1162005 109.1121 0.162 second_trace 3
## 1510 0.1162005 109.1121 0.162 second_trace 3
## 1511 0.1162005 109.1121 0.162 second_trace 3
## 1512 0.1162005 109.1121 0.162 second_trace 3
## 1513 0.1162005 109.1121 0.162 second_trace 3
## 1514 0.1162005 109.1121 0.162 second_trace 3
## 1515 0.1162005 109.1121 0.162 second_trace 3
## 1516 0.1162005 109.1121 0.162 second_trace 3
## 1517 0.1162005 109.1121 0.162 second_trace 3
## 1518 0.1162005 109.1121 0.162 second_trace 3
## 1519 0.1162005 109.1121 0.162 second_trace 3
## 1520 0.1162005 109.1121 0.162 second_trace 3
## 1521 0.1162005 109.1121 0.162 second_trace 3
## 1522 0.1162005 109.1121 0.162 second_trace 3
## 1523 0.1162005 109.1121 0.162 second_trace 3
## 1524 0.1162005 109.1121 0.162 second_trace 3
## 1525 0.1162005 109.1121 0.162 second_trace 3
## 1526 0.1162005 109.1121 0.162 second_trace 3
## 1527 0.1162005 109.1121 0.162 second_trace 3
## 1528 0.1162005 109.1121 0.162 second_trace 3
## 1529 0.1162005 109.1121 0.162 second_trace 3
## 1530 0.1162005 109.1121 0.162 second_trace 3
## 1531 0.1162005 109.1121 0.162 second_trace 3
## 1532 0.1162005 109.1121 0.162 second_trace 3
## 1533 0.1162005 109.1121 0.162 second_trace 3
## 1534 0.1162005 109.1121 0.162 second_trace 3
## 1535 0.1162005 109.1121 0.162 second_trace 3
## 1536 0.1162005 109.1121 0.162 second_trace 3
## 1537 0.1162005 109.1121 0.162 second_trace 3
## 1538 0.1162005 109.1121 0.162 second_trace 3
## 1539 0.1162005 109.1121 0.162 second_trace 3
## 1540 0.1162005 109.1121 0.162 second_trace 3
## 1541 0.1162005 109.1121 0.162 second_trace 3
## 1542 0.1162005 109.1121 0.162 second_trace 3
## 1543 0.1162005 109.1121 0.162 second_trace 3
## 1544 0.1162005 109.1121 0.162 second_trace 3
## 1545 0.1162005 109.1121 0.162 second_trace 3
## 1546 0.1162005 109.1121 0.162 second_trace 3
## 1547 0.1162005 109.1121 0.162 second_trace 3
## 1548 0.1162005 109.1121 0.162 second_trace 3
## 1549 0.1162005 109.1121 0.162 second_trace 3
## 1550 0.1162005 109.1121 0.162 second_trace 3
## 1551 0.1162005 109.1121 0.162 second_trace 3
## 1552 0.1162005 109.1121 0.162 second_trace 3
## 1553 0.1162005 109.1121 0.162 second_trace 3
## 1554 0.1162005 109.1121 0.162 second_trace 3
## 1555 0.1162005 109.1121 0.162 second_trace 3
## 1556 0.1162005 109.1121 0.162 second_trace 3
## 1557 0.1162005 109.1121 0.162 second_trace 3
## 1558 0.1162005 109.1121 0.162 second_trace 3
## 1559 0.1162005 109.1121 0.162 second_trace 3
## 1560 0.1162005 109.1121 0.162 mif1 3
## 1561 0.1162005 109.1121 0.162 start 3
## 1562 0.1162005 109.1121 0.162 first_trace 3
## 1563 0.1162005 109.1121 0.162 first_trace 3
## 1564 0.1162005 109.1121 0.162 first_trace 3
## 1565 0.1162005 109.1121 0.162 first_trace 3
## 1566 0.1162005 109.1121 0.162 first_trace 3
## 1567 0.1162005 109.1121 0.162 first_trace 3
## 1568 0.1162005 109.1121 0.162 first_trace 3
## 1569 0.1162005 109.1121 0.162 first_trace 3
## 1570 0.1162005 109.1121 0.162 first_trace 3
## 1571 0.1162005 109.1121 0.162 first_trace 3
## 1572 0.1162005 109.1121 0.162 first_trace 3
## 1573 0.1162005 109.1121 0.162 first_trace 3
## 1574 0.1162005 109.1121 0.162 first_trace 3
## 1575 0.1162005 109.1121 0.162 first_trace 3
## 1576 0.1162005 109.1121 0.162 first_trace 3
## 1577 0.1162005 109.1121 0.162 first_trace 3
## 1578 0.1162005 109.1121 0.162 first_trace 3
## 1579 0.1162005 109.1121 0.162 first_trace 3
## 1580 0.1162005 109.1121 0.162 first_trace 3
## 1581 0.1162005 109.1121 0.162 first_trace 3
## 1582 0.1162005 109.1121 0.162 first_trace 3
## 1583 0.1162005 109.1121 0.162 first_trace 3
## 1584 0.1162005 109.1121 0.162 first_trace 3
## 1585 0.1162005 109.1121 0.162 first_trace 3
## 1586 0.1162005 109.1121 0.162 first_trace 3
## 1587 0.1162005 109.1121 0.162 first_trace 3
## 1588 0.1162005 109.1121 0.162 first_trace 3
## 1589 0.1162005 109.1121 0.162 first_trace 3
## 1590 0.1162005 109.1121 0.162 first_trace 3
## 1591 0.1162005 109.1121 0.162 first_trace 3
## 1592 0.1162005 109.1121 0.162 first_trace 3
## 1593 0.1162005 109.1121 0.162 first_trace 3
## 1594 0.1162005 109.1121 0.162 first_trace 3
## 1595 0.1162005 109.1121 0.162 first_trace 3
## 1596 0.1162005 109.1121 0.162 first_trace 3
## 1597 0.1162005 109.1121 0.162 first_trace 3
## 1598 0.1162005 109.1121 0.162 first_trace 3
## 1599 0.1162005 109.1121 0.162 first_trace 3
## 1600 0.1162005 109.1121 0.162 first_trace 3
## 1601 0.1162005 109.1121 0.162 first_trace 3
## 1602 0.1162005 109.1121 0.162 first_trace 3
## 1603 0.1162005 109.1121 0.162 first_trace 3
## 1604 0.1162005 109.1121 0.162 first_trace 3
## 1605 0.1162005 109.1121 0.162 first_trace 3
## 1606 0.1162005 109.1121 0.162 first_trace 3
## 1607 0.1162005 109.1121 0.162 first_trace 3
## 1608 0.1162005 109.1121 0.162 first_trace 3
## 1609 0.1162005 109.1121 0.162 first_trace 3
## 1610 0.1162005 109.1121 0.162 first_trace 3
## 1611 0.1162005 109.1121 0.162 first_trace 3
## 1612 0.1162005 109.1121 0.162 first_trace 3
## 1613 0.1162005 109.1121 0.162 second_trace 3
## 1614 0.1162005 109.1121 0.162 second_trace 3
## 1615 0.1162005 109.1121 0.162 second_trace 3
## 1616 0.1162005 109.1121 0.162 second_trace 3
## 1617 0.1162005 109.1121 0.162 second_trace 3
## 1618 0.1162005 109.1121 0.162 second_trace 3
## 1619 0.1162005 109.1121 0.162 second_trace 3
## 1620 0.1162005 109.1121 0.162 second_trace 3
## 1621 0.1162005 109.1121 0.162 second_trace 3
## 1622 0.1162005 109.1121 0.162 second_trace 3
## 1623 0.1162005 109.1121 0.162 second_trace 3
## 1624 0.1162005 109.1121 0.162 second_trace 3
## 1625 0.1162005 109.1121 0.162 second_trace 3
## 1626 0.1162005 109.1121 0.162 second_trace 3
## 1627 0.1162005 109.1121 0.162 second_trace 3
## 1628 0.1162005 109.1121 0.162 second_trace 3
## 1629 0.1162005 109.1121 0.162 second_trace 3
## 1630 0.1162005 109.1121 0.162 second_trace 3
## 1631 0.1162005 109.1121 0.162 second_trace 3
## 1632 0.1162005 109.1121 0.162 second_trace 3
## 1633 0.1162005 109.1121 0.162 second_trace 3
## 1634 0.1162005 109.1121 0.162 second_trace 3
## 1635 0.1162005 109.1121 0.162 second_trace 3
## 1636 0.1162005 109.1121 0.162 second_trace 3
## 1637 0.1162005 109.1121 0.162 second_trace 3
## 1638 0.1162005 109.1121 0.162 second_trace 3
## 1639 0.1162005 109.1121 0.162 second_trace 3
## 1640 0.1162005 109.1121 0.162 second_trace 3
## 1641 0.1162005 109.1121 0.162 second_trace 3
## 1642 0.1162005 109.1121 0.162 second_trace 3
## 1643 0.1162005 109.1121 0.162 second_trace 3
## 1644 0.1162005 109.1121 0.162 second_trace 3
## 1645 0.1162005 109.1121 0.162 second_trace 3
## 1646 0.1162005 109.1121 0.162 second_trace 3
## 1647 0.1162005 109.1121 0.162 second_trace 3
## 1648 0.1162005 109.1121 0.162 second_trace 3
## 1649 0.1162005 109.1121 0.162 second_trace 3
## 1650 0.1162005 109.1121 0.162 second_trace 3
## 1651 0.1162005 109.1121 0.162 second_trace 3
## 1652 0.1162005 109.1121 0.162 second_trace 3
## 1653 0.1162005 109.1121 0.162 second_trace 3
## 1654 0.1162005 109.1121 0.162 second_trace 3
## 1655 0.1162005 109.1121 0.162 second_trace 3
## 1656 0.1162005 109.1121 0.162 second_trace 3
## 1657 0.1162005 109.1121 0.162 second_trace 3
## 1658 0.1162005 109.1121 0.162 second_trace 3
## 1659 0.1162005 109.1121 0.162 second_trace 3
## 1660 0.1162005 109.1121 0.162 second_trace 3
## 1661 0.1162005 109.1121 0.162 second_trace 3
## 1662 0.1162005 109.1121 0.162 second_trace 3
## 1663 0.1162005 109.1121 0.162 second_trace 3
## 1664 0.1162005 109.1121 0.162 mif1 3
## 1665 0.1162005 109.1121 0.162 start 3
## 1666 0.1162005 109.1121 0.162 first_trace 3
## 1667 0.1162005 109.1121 0.162 first_trace 3
## 1668 0.1162005 109.1121 0.162 first_trace 3
## 1669 0.1162005 109.1121 0.162 first_trace 3
## 1670 0.1162005 109.1121 0.162 first_trace 3
## 1671 0.1162005 109.1121 0.162 first_trace 3
## 1672 0.1162005 109.1121 0.162 first_trace 3
## 1673 0.1162005 109.1121 0.162 first_trace 3
## 1674 0.1162005 109.1121 0.162 first_trace 3
## 1675 0.1162005 109.1121 0.162 first_trace 3
## 1676 0.1162005 109.1121 0.162 first_trace 3
## 1677 0.1162005 109.1121 0.162 first_trace 3
## 1678 0.1162005 109.1121 0.162 first_trace 3
## 1679 0.1162005 109.1121 0.162 first_trace 3
## 1680 0.1162005 109.1121 0.162 first_trace 3
## 1681 0.1162005 109.1121 0.162 first_trace 3
## 1682 0.1162005 109.1121 0.162 first_trace 3
## 1683 0.1162005 109.1121 0.162 first_trace 3
## 1684 0.1162005 109.1121 0.162 first_trace 3
## 1685 0.1162005 109.1121 0.162 first_trace 3
## 1686 0.1162005 109.1121 0.162 first_trace 3
## 1687 0.1162005 109.1121 0.162 first_trace 3
## 1688 0.1162005 109.1121 0.162 first_trace 3
## 1689 0.1162005 109.1121 0.162 first_trace 3
## 1690 0.1162005 109.1121 0.162 first_trace 3
## 1691 0.1162005 109.1121 0.162 first_trace 3
## 1692 0.1162005 109.1121 0.162 first_trace 3
## 1693 0.1162005 109.1121 0.162 first_trace 3
## 1694 0.1162005 109.1121 0.162 first_trace 3
## 1695 0.1162005 109.1121 0.162 first_trace 3
## 1696 0.1162005 109.1121 0.162 first_trace 3
## 1697 0.1162005 109.1121 0.162 first_trace 3
## 1698 0.1162005 109.1121 0.162 first_trace 3
## 1699 0.1162005 109.1121 0.162 first_trace 3
## 1700 0.1162005 109.1121 0.162 first_trace 3
## 1701 0.1162005 109.1121 0.162 first_trace 3
## 1702 0.1162005 109.1121 0.162 first_trace 3
## 1703 0.1162005 109.1121 0.162 first_trace 3
## 1704 0.1162005 109.1121 0.162 first_trace 3
## 1705 0.1162005 109.1121 0.162 first_trace 3
## 1706 0.1162005 109.1121 0.162 first_trace 3
## 1707 0.1162005 109.1121 0.162 first_trace 3
## 1708 0.1162005 109.1121 0.162 first_trace 3
## 1709 0.1162005 109.1121 0.162 first_trace 3
## 1710 0.1162005 109.1121 0.162 first_trace 3
## 1711 0.1162005 109.1121 0.162 first_trace 3
## 1712 0.1162005 109.1121 0.162 first_trace 3
## 1713 0.1162005 109.1121 0.162 first_trace 3
## 1714 0.1162005 109.1121 0.162 first_trace 3
## 1715 0.1162005 109.1121 0.162 first_trace 3
## 1716 0.1162005 109.1121 0.162 first_trace 3
## 1717 0.1162005 109.1121 0.162 second_trace 3
## 1718 0.1162005 109.1121 0.162 second_trace 3
## 1719 0.1162005 109.1121 0.162 second_trace 3
## 1720 0.1162005 109.1121 0.162 second_trace 3
## 1721 0.1162005 109.1121 0.162 second_trace 3
## 1722 0.1162005 109.1121 0.162 second_trace 3
## 1723 0.1162005 109.1121 0.162 second_trace 3
## 1724 0.1162005 109.1121 0.162 second_trace 3
## 1725 0.1162005 109.1121 0.162 second_trace 3
## 1726 0.1162005 109.1121 0.162 second_trace 3
## 1727 0.1162005 109.1121 0.162 second_trace 3
## 1728 0.1162005 109.1121 0.162 second_trace 3
## 1729 0.1162005 109.1121 0.162 second_trace 3
## 1730 0.1162005 109.1121 0.162 second_trace 3
## 1731 0.1162005 109.1121 0.162 second_trace 3
## 1732 0.1162005 109.1121 0.162 second_trace 3
## 1733 0.1162005 109.1121 0.162 second_trace 3
## 1734 0.1162005 109.1121 0.162 second_trace 3
## 1735 0.1162005 109.1121 0.162 second_trace 3
## 1736 0.1162005 109.1121 0.162 second_trace 3
## 1737 0.1162005 109.1121 0.162 second_trace 3
## 1738 0.1162005 109.1121 0.162 second_trace 3
## 1739 0.1162005 109.1121 0.162 second_trace 3
## 1740 0.1162005 109.1121 0.162 second_trace 3
## 1741 0.1162005 109.1121 0.162 second_trace 3
## 1742 0.1162005 109.1121 0.162 second_trace 3
## 1743 0.1162005 109.1121 0.162 second_trace 3
## 1744 0.1162005 109.1121 0.162 second_trace 3
## 1745 0.1162005 109.1121 0.162 second_trace 3
## 1746 0.1162005 109.1121 0.162 second_trace 3
## 1747 0.1162005 109.1121 0.162 second_trace 3
## 1748 0.1162005 109.1121 0.162 second_trace 3
## 1749 0.1162005 109.1121 0.162 second_trace 3
## 1750 0.1162005 109.1121 0.162 second_trace 3
## 1751 0.1162005 109.1121 0.162 second_trace 3
## 1752 0.1162005 109.1121 0.162 second_trace 3
## 1753 0.1162005 109.1121 0.162 second_trace 3
## 1754 0.1162005 109.1121 0.162 second_trace 3
## 1755 0.1162005 109.1121 0.162 second_trace 3
## 1756 0.1162005 109.1121 0.162 second_trace 3
## 1757 0.1162005 109.1121 0.162 second_trace 3
## 1758 0.1162005 109.1121 0.162 second_trace 3
## 1759 0.1162005 109.1121 0.162 second_trace 3
## 1760 0.1162005 109.1121 0.162 second_trace 3
## 1761 0.1162005 109.1121 0.162 second_trace 3
## 1762 0.1162005 109.1121 0.162 second_trace 3
## 1763 0.1162005 109.1121 0.162 second_trace 3
## 1764 0.1162005 109.1121 0.162 second_trace 3
## 1765 0.1162005 109.1121 0.162 second_trace 3
## 1766 0.1162005 109.1121 0.162 second_trace 3
## 1767 0.1162005 109.1121 0.162 second_trace 3
## 1768 0.1162005 109.1121 0.162 mif1 3
## 1769 0.1162005 109.1121 0.162 start 3
## 1770 0.1162005 109.1121 0.162 first_trace 3
## 1771 0.1162005 109.1121 0.162 first_trace 3
## 1772 0.1162005 109.1121 0.162 first_trace 3
## 1773 0.1162005 109.1121 0.162 first_trace 3
## 1774 0.1162005 109.1121 0.162 first_trace 3
## 1775 0.1162005 109.1121 0.162 first_trace 3
## 1776 0.1162005 109.1121 0.162 first_trace 3
## 1777 0.1162005 109.1121 0.162 first_trace 3
## 1778 0.1162005 109.1121 0.162 first_trace 3
## 1779 0.1162005 109.1121 0.162 first_trace 3
## 1780 0.1162005 109.1121 0.162 first_trace 3
## 1781 0.1162005 109.1121 0.162 first_trace 3
## 1782 0.1162005 109.1121 0.162 first_trace 3
## 1783 0.1162005 109.1121 0.162 first_trace 3
## 1784 0.1162005 109.1121 0.162 first_trace 3
## 1785 0.1162005 109.1121 0.162 first_trace 3
## 1786 0.1162005 109.1121 0.162 first_trace 3
## 1787 0.1162005 109.1121 0.162 first_trace 3
## 1788 0.1162005 109.1121 0.162 first_trace 3
## 1789 0.1162005 109.1121 0.162 first_trace 3
## 1790 0.1162005 109.1121 0.162 first_trace 3
## 1791 0.1162005 109.1121 0.162 first_trace 3
## 1792 0.1162005 109.1121 0.162 first_trace 3
## 1793 0.1162005 109.1121 0.162 first_trace 3
## 1794 0.1162005 109.1121 0.162 first_trace 3
## 1795 0.1162005 109.1121 0.162 first_trace 3
## 1796 0.1162005 109.1121 0.162 first_trace 3
## 1797 0.1162005 109.1121 0.162 first_trace 3
## 1798 0.1162005 109.1121 0.162 first_trace 3
## 1799 0.1162005 109.1121 0.162 first_trace 3
## 1800 0.1162005 109.1121 0.162 first_trace 3
## 1801 0.1162005 109.1121 0.162 first_trace 3
## 1802 0.1162005 109.1121 0.162 first_trace 3
## 1803 0.1162005 109.1121 0.162 first_trace 3
## 1804 0.1162005 109.1121 0.162 first_trace 3
## 1805 0.1162005 109.1121 0.162 first_trace 3
## 1806 0.1162005 109.1121 0.162 first_trace 3
## 1807 0.1162005 109.1121 0.162 first_trace 3
## 1808 0.1162005 109.1121 0.162 first_trace 3
## 1809 0.1162005 109.1121 0.162 first_trace 3
## 1810 0.1162005 109.1121 0.162 first_trace 3
## 1811 0.1162005 109.1121 0.162 first_trace 3
## 1812 0.1162005 109.1121 0.162 first_trace 3
## 1813 0.1162005 109.1121 0.162 first_trace 3
## 1814 0.1162005 109.1121 0.162 first_trace 3
## 1815 0.1162005 109.1121 0.162 first_trace 3
## 1816 0.1162005 109.1121 0.162 first_trace 3
## 1817 0.1162005 109.1121 0.162 first_trace 3
## 1818 0.1162005 109.1121 0.162 first_trace 3
## 1819 0.1162005 109.1121 0.162 first_trace 3
## 1820 0.1162005 109.1121 0.162 first_trace 3
## 1821 0.1162005 109.1121 0.162 second_trace 3
## 1822 0.1162005 109.1121 0.162 second_trace 3
## 1823 0.1162005 109.1121 0.162 second_trace 3
## 1824 0.1162005 109.1121 0.162 second_trace 3
## 1825 0.1162005 109.1121 0.162 second_trace 3
## 1826 0.1162005 109.1121 0.162 second_trace 3
## 1827 0.1162005 109.1121 0.162 second_trace 3
## 1828 0.1162005 109.1121 0.162 second_trace 3
## 1829 0.1162005 109.1121 0.162 second_trace 3
## 1830 0.1162005 109.1121 0.162 second_trace 3
## 1831 0.1162005 109.1121 0.162 second_trace 3
## 1832 0.1162005 109.1121 0.162 second_trace 3
## 1833 0.1162005 109.1121 0.162 second_trace 3
## 1834 0.1162005 109.1121 0.162 second_trace 3
## 1835 0.1162005 109.1121 0.162 second_trace 3
## 1836 0.1162005 109.1121 0.162 second_trace 3
## 1837 0.1162005 109.1121 0.162 second_trace 3
## 1838 0.1162005 109.1121 0.162 second_trace 3
## 1839 0.1162005 109.1121 0.162 second_trace 3
## 1840 0.1162005 109.1121 0.162 second_trace 3
## 1841 0.1162005 109.1121 0.162 second_trace 3
## 1842 0.1162005 109.1121 0.162 second_trace 3
## 1843 0.1162005 109.1121 0.162 second_trace 3
## 1844 0.1162005 109.1121 0.162 second_trace 3
## 1845 0.1162005 109.1121 0.162 second_trace 3
## 1846 0.1162005 109.1121 0.162 second_trace 3
## 1847 0.1162005 109.1121 0.162 second_trace 3
## 1848 0.1162005 109.1121 0.162 second_trace 3
## 1849 0.1162005 109.1121 0.162 second_trace 3
## 1850 0.1162005 109.1121 0.162 second_trace 3
## 1851 0.1162005 109.1121 0.162 second_trace 3
## 1852 0.1162005 109.1121 0.162 second_trace 3
## 1853 0.1162005 109.1121 0.162 second_trace 3
## 1854 0.1162005 109.1121 0.162 second_trace 3
## 1855 0.1162005 109.1121 0.162 second_trace 3
## 1856 0.1162005 109.1121 0.162 second_trace 3
## 1857 0.1162005 109.1121 0.162 second_trace 3
## 1858 0.1162005 109.1121 0.162 second_trace 3
## 1859 0.1162005 109.1121 0.162 second_trace 3
## 1860 0.1162005 109.1121 0.162 second_trace 3
## 1861 0.1162005 109.1121 0.162 second_trace 3
## 1862 0.1162005 109.1121 0.162 second_trace 3
## 1863 0.1162005 109.1121 0.162 second_trace 3
## 1864 0.1162005 109.1121 0.162 second_trace 3
## 1865 0.1162005 109.1121 0.162 second_trace 3
## 1866 0.1162005 109.1121 0.162 second_trace 3
## 1867 0.1162005 109.1121 0.162 second_trace 3
## 1868 0.1162005 109.1121 0.162 second_trace 3
## 1869 0.1162005 109.1121 0.162 second_trace 3
## 1870 0.1162005 109.1121 0.162 second_trace 3
## 1871 0.1162005 109.1121 0.162 second_trace 3
## 1872 0.1162005 109.1121 0.162 mif1 3
## 1873 0.1162005 109.1121 0.162 start 3
## 1874 0.1162005 109.1121 0.162 first_trace 3
## 1875 0.1162005 109.1121 0.162 first_trace 3
## 1876 0.1162005 109.1121 0.162 first_trace 3
## 1877 0.1162005 109.1121 0.162 first_trace 3
## 1878 0.1162005 109.1121 0.162 first_trace 3
## 1879 0.1162005 109.1121 0.162 first_trace 3
## 1880 0.1162005 109.1121 0.162 first_trace 3
## 1881 0.1162005 109.1121 0.162 first_trace 3
## 1882 0.1162005 109.1121 0.162 first_trace 3
## 1883 0.1162005 109.1121 0.162 first_trace 3
## 1884 0.1162005 109.1121 0.162 first_trace 3
## 1885 0.1162005 109.1121 0.162 first_trace 3
## 1886 0.1162005 109.1121 0.162 first_trace 3
## 1887 0.1162005 109.1121 0.162 first_trace 3
## 1888 0.1162005 109.1121 0.162 first_trace 3
## 1889 0.1162005 109.1121 0.162 first_trace 3
## 1890 0.1162005 109.1121 0.162 first_trace 3
## 1891 0.1162005 109.1121 0.162 first_trace 3
## 1892 0.1162005 109.1121 0.162 first_trace 3
## 1893 0.1162005 109.1121 0.162 first_trace 3
## 1894 0.1162005 109.1121 0.162 first_trace 3
## 1895 0.1162005 109.1121 0.162 first_trace 3
## 1896 0.1162005 109.1121 0.162 first_trace 3
## 1897 0.1162005 109.1121 0.162 first_trace 3
## 1898 0.1162005 109.1121 0.162 first_trace 3
## 1899 0.1162005 109.1121 0.162 first_trace 3
## 1900 0.1162005 109.1121 0.162 first_trace 3
## 1901 0.1162005 109.1121 0.162 first_trace 3
## 1902 0.1162005 109.1121 0.162 first_trace 3
## 1903 0.1162005 109.1121 0.162 first_trace 3
## 1904 0.1162005 109.1121 0.162 first_trace 3
## 1905 0.1162005 109.1121 0.162 first_trace 3
## 1906 0.1162005 109.1121 0.162 first_trace 3
## 1907 0.1162005 109.1121 0.162 first_trace 3
## 1908 0.1162005 109.1121 0.162 first_trace 3
## 1909 0.1162005 109.1121 0.162 first_trace 3
## 1910 0.1162005 109.1121 0.162 first_trace 3
## 1911 0.1162005 109.1121 0.162 first_trace 3
## 1912 0.1162005 109.1121 0.162 first_trace 3
## 1913 0.1162005 109.1121 0.162 first_trace 3
## 1914 0.1162005 109.1121 0.162 first_trace 3
## 1915 0.1162005 109.1121 0.162 first_trace 3
## 1916 0.1162005 109.1121 0.162 first_trace 3
## 1917 0.1162005 109.1121 0.162 first_trace 3
## 1918 0.1162005 109.1121 0.162 first_trace 3
## 1919 0.1162005 109.1121 0.162 first_trace 3
## 1920 0.1162005 109.1121 0.162 first_trace 3
## 1921 0.1162005 109.1121 0.162 first_trace 3
## 1922 0.1162005 109.1121 0.162 first_trace 3
## 1923 0.1162005 109.1121 0.162 first_trace 3
## 1924 0.1162005 109.1121 0.162 first_trace 3
## 1925 0.1162005 109.1121 0.162 second_trace 3
## 1926 0.1162005 109.1121 0.162 second_trace 3
## 1927 0.1162005 109.1121 0.162 second_trace 3
## 1928 0.1162005 109.1121 0.162 second_trace 3
## 1929 0.1162005 109.1121 0.162 second_trace 3
## 1930 0.1162005 109.1121 0.162 second_trace 3
## 1931 0.1162005 109.1121 0.162 second_trace 3
## 1932 0.1162005 109.1121 0.162 second_trace 3
## 1933 0.1162005 109.1121 0.162 second_trace 3
## 1934 0.1162005 109.1121 0.162 second_trace 3
## 1935 0.1162005 109.1121 0.162 second_trace 3
## 1936 0.1162005 109.1121 0.162 second_trace 3
## 1937 0.1162005 109.1121 0.162 second_trace 3
## 1938 0.1162005 109.1121 0.162 second_trace 3
## 1939 0.1162005 109.1121 0.162 second_trace 3
## 1940 0.1162005 109.1121 0.162 second_trace 3
## 1941 0.1162005 109.1121 0.162 second_trace 3
## 1942 0.1162005 109.1121 0.162 second_trace 3
## 1943 0.1162005 109.1121 0.162 second_trace 3
## 1944 0.1162005 109.1121 0.162 second_trace 3
## 1945 0.1162005 109.1121 0.162 second_trace 3
## 1946 0.1162005 109.1121 0.162 second_trace 3
## 1947 0.1162005 109.1121 0.162 second_trace 3
## 1948 0.1162005 109.1121 0.162 second_trace 3
## 1949 0.1162005 109.1121 0.162 second_trace 3
## 1950 0.1162005 109.1121 0.162 second_trace 3
## 1951 0.1162005 109.1121 0.162 second_trace 3
## 1952 0.1162005 109.1121 0.162 second_trace 3
## 1953 0.1162005 109.1121 0.162 second_trace 3
## 1954 0.1162005 109.1121 0.162 second_trace 3
## 1955 0.1162005 109.1121 0.162 second_trace 3
## 1956 0.1162005 109.1121 0.162 second_trace 3
## 1957 0.1162005 109.1121 0.162 second_trace 3
## 1958 0.1162005 109.1121 0.162 second_trace 3
## 1959 0.1162005 109.1121 0.162 second_trace 3
## 1960 0.1162005 109.1121 0.162 second_trace 3
## 1961 0.1162005 109.1121 0.162 second_trace 3
## 1962 0.1162005 109.1121 0.162 second_trace 3
## 1963 0.1162005 109.1121 0.162 second_trace 3
## 1964 0.1162005 109.1121 0.162 second_trace 3
## 1965 0.1162005 109.1121 0.162 second_trace 3
## 1966 0.1162005 109.1121 0.162 second_trace 3
## 1967 0.1162005 109.1121 0.162 second_trace 3
## 1968 0.1162005 109.1121 0.162 second_trace 3
## 1969 0.1162005 109.1121 0.162 second_trace 3
## 1970 0.1162005 109.1121 0.162 second_trace 3
## 1971 0.1162005 109.1121 0.162 second_trace 3
## 1972 0.1162005 109.1121 0.162 second_trace 3
## 1973 0.1162005 109.1121 0.162 second_trace 3
## 1974 0.1162005 109.1121 0.162 second_trace 3
## 1975 0.1162005 109.1121 0.162 second_trace 3
## 1976 0.1162005 109.1121 0.162 mif1 3
## 1977 0.1162005 109.1121 0.162 start 3
## 1978 0.1162005 109.1121 0.162 first_trace 3
## 1979 0.1162005 109.1121 0.162 first_trace 3
## 1980 0.1162005 109.1121 0.162 first_trace 3
## 1981 0.1162005 109.1121 0.162 first_trace 3
## 1982 0.1162005 109.1121 0.162 first_trace 3
## 1983 0.1162005 109.1121 0.162 first_trace 3
## 1984 0.1162005 109.1121 0.162 first_trace 3
## 1985 0.1162005 109.1121 0.162 first_trace 3
## 1986 0.1162005 109.1121 0.162 first_trace 3
## 1987 0.1162005 109.1121 0.162 first_trace 3
## 1988 0.1162005 109.1121 0.162 first_trace 3
## 1989 0.1162005 109.1121 0.162 first_trace 3
## 1990 0.1162005 109.1121 0.162 first_trace 3
## 1991 0.1162005 109.1121 0.162 first_trace 3
## 1992 0.1162005 109.1121 0.162 first_trace 3
## 1993 0.1162005 109.1121 0.162 first_trace 3
## 1994 0.1162005 109.1121 0.162 first_trace 3
## 1995 0.1162005 109.1121 0.162 first_trace 3
## 1996 0.1162005 109.1121 0.162 first_trace 3
## 1997 0.1162005 109.1121 0.162 first_trace 3
## 1998 0.1162005 109.1121 0.162 first_trace 3
## 1999 0.1162005 109.1121 0.162 first_trace 3
## 2000 0.1162005 109.1121 0.162 first_trace 3
## 2001 0.1162005 109.1121 0.162 first_trace 3
## 2002 0.1162005 109.1121 0.162 first_trace 3
## 2003 0.1162005 109.1121 0.162 first_trace 3
## 2004 0.1162005 109.1121 0.162 first_trace 3
## 2005 0.1162005 109.1121 0.162 first_trace 3
## 2006 0.1162005 109.1121 0.162 first_trace 3
## 2007 0.1162005 109.1121 0.162 first_trace 3
## 2008 0.1162005 109.1121 0.162 first_trace 3
## 2009 0.1162005 109.1121 0.162 first_trace 3
## 2010 0.1162005 109.1121 0.162 first_trace 3
## 2011 0.1162005 109.1121 0.162 first_trace 3
## 2012 0.1162005 109.1121 0.162 first_trace 3
## 2013 0.1162005 109.1121 0.162 first_trace 3
## 2014 0.1162005 109.1121 0.162 first_trace 3
## 2015 0.1162005 109.1121 0.162 first_trace 3
## 2016 0.1162005 109.1121 0.162 first_trace 3
## 2017 0.1162005 109.1121 0.162 first_trace 3
## 2018 0.1162005 109.1121 0.162 first_trace 3
## 2019 0.1162005 109.1121 0.162 first_trace 3
## 2020 0.1162005 109.1121 0.162 first_trace 3
## 2021 0.1162005 109.1121 0.162 first_trace 3
## 2022 0.1162005 109.1121 0.162 first_trace 3
## 2023 0.1162005 109.1121 0.162 first_trace 3
## 2024 0.1162005 109.1121 0.162 first_trace 3
## 2025 0.1162005 109.1121 0.162 first_trace 3
## 2026 0.1162005 109.1121 0.162 first_trace 3
## 2027 0.1162005 109.1121 0.162 first_trace 3
## 2028 0.1162005 109.1121 0.162 first_trace 3
## 2029 0.1162005 109.1121 0.162 second_trace 3
## 2030 0.1162005 109.1121 0.162 second_trace 3
## 2031 0.1162005 109.1121 0.162 second_trace 3
## 2032 0.1162005 109.1121 0.162 second_trace 3
## 2033 0.1162005 109.1121 0.162 second_trace 3
## 2034 0.1162005 109.1121 0.162 second_trace 3
## 2035 0.1162005 109.1121 0.162 second_trace 3
## 2036 0.1162005 109.1121 0.162 second_trace 3
## 2037 0.1162005 109.1121 0.162 second_trace 3
## 2038 0.1162005 109.1121 0.162 second_trace 3
## 2039 0.1162005 109.1121 0.162 second_trace 3
## 2040 0.1162005 109.1121 0.162 second_trace 3
## 2041 0.1162005 109.1121 0.162 second_trace 3
## 2042 0.1162005 109.1121 0.162 second_trace 3
## 2043 0.1162005 109.1121 0.162 second_trace 3
## 2044 0.1162005 109.1121 0.162 second_trace 3
## 2045 0.1162005 109.1121 0.162 second_trace 3
## 2046 0.1162005 109.1121 0.162 second_trace 3
## 2047 0.1162005 109.1121 0.162 second_trace 3
## 2048 0.1162005 109.1121 0.162 second_trace 3
## 2049 0.1162005 109.1121 0.162 second_trace 3
## 2050 0.1162005 109.1121 0.162 second_trace 3
## 2051 0.1162005 109.1121 0.162 second_trace 3
## 2052 0.1162005 109.1121 0.162 second_trace 3
## 2053 0.1162005 109.1121 0.162 second_trace 3
## 2054 0.1162005 109.1121 0.162 second_trace 3
## 2055 0.1162005 109.1121 0.162 second_trace 3
## 2056 0.1162005 109.1121 0.162 second_trace 3
## 2057 0.1162005 109.1121 0.162 second_trace 3
## 2058 0.1162005 109.1121 0.162 second_trace 3
## 2059 0.1162005 109.1121 0.162 second_trace 3
## 2060 0.1162005 109.1121 0.162 second_trace 3
## 2061 0.1162005 109.1121 0.162 second_trace 3
## 2062 0.1162005 109.1121 0.162 second_trace 3
## 2063 0.1162005 109.1121 0.162 second_trace 3
## 2064 0.1162005 109.1121 0.162 second_trace 3
## 2065 0.1162005 109.1121 0.162 second_trace 3
## 2066 0.1162005 109.1121 0.162 second_trace 3
## 2067 0.1162005 109.1121 0.162 second_trace 3
## 2068 0.1162005 109.1121 0.162 second_trace 3
## 2069 0.1162005 109.1121 0.162 second_trace 3
## 2070 0.1162005 109.1121 0.162 second_trace 3
## 2071 0.1162005 109.1121 0.162 second_trace 3
## 2072 0.1162005 109.1121 0.162 second_trace 3
## 2073 0.1162005 109.1121 0.162 second_trace 3
## 2074 0.1162005 109.1121 0.162 second_trace 3
## 2075 0.1162005 109.1121 0.162 second_trace 3
## 2076 0.1162005 109.1121 0.162 second_trace 3
## 2077 0.1162005 109.1121 0.162 second_trace 3
## 2078 0.1162005 109.1121 0.162 second_trace 3
## 2079 0.1162005 109.1121 0.162 second_trace 3
## 2080 0.1162005 109.1121 0.162 mif1 3
## 2081 0.1162005 109.1121 0.162 start 3
## 2082 0.1162005 109.1121 0.162 first_trace 3
## 2083 0.1162005 109.1121 0.162 first_trace 3
## 2084 0.1162005 109.1121 0.162 first_trace 3
## 2085 0.1162005 109.1121 0.162 first_trace 3
## 2086 0.1162005 109.1121 0.162 first_trace 3
## 2087 0.1162005 109.1121 0.162 first_trace 3
## 2088 0.1162005 109.1121 0.162 first_trace 3
## 2089 0.1162005 109.1121 0.162 first_trace 3
## 2090 0.1162005 109.1121 0.162 first_trace 3
## 2091 0.1162005 109.1121 0.162 first_trace 3
## 2092 0.1162005 109.1121 0.162 first_trace 3
## 2093 0.1162005 109.1121 0.162 first_trace 3
## 2094 0.1162005 109.1121 0.162 first_trace 3
## 2095 0.1162005 109.1121 0.162 first_trace 3
## 2096 0.1162005 109.1121 0.162 first_trace 3
## 2097 0.1162005 109.1121 0.162 first_trace 3
## 2098 0.1162005 109.1121 0.162 first_trace 3
## 2099 0.1162005 109.1121 0.162 first_trace 3
## 2100 0.1162005 109.1121 0.162 first_trace 3
## 2101 0.1162005 109.1121 0.162 first_trace 3
## 2102 0.1162005 109.1121 0.162 first_trace 3
## 2103 0.1162005 109.1121 0.162 first_trace 3
## 2104 0.1162005 109.1121 0.162 first_trace 3
## 2105 0.1162005 109.1121 0.162 first_trace 3
## 2106 0.1162005 109.1121 0.162 first_trace 3
## 2107 0.1162005 109.1121 0.162 first_trace 3
## 2108 0.1162005 109.1121 0.162 first_trace 3
## 2109 0.1162005 109.1121 0.162 first_trace 3
## 2110 0.1162005 109.1121 0.162 first_trace 3
## 2111 0.1162005 109.1121 0.162 first_trace 3
## 2112 0.1162005 109.1121 0.162 first_trace 3
## 2113 0.1162005 109.1121 0.162 first_trace 3
## 2114 0.1162005 109.1121 0.162 first_trace 3
## 2115 0.1162005 109.1121 0.162 first_trace 3
## 2116 0.1162005 109.1121 0.162 first_trace 3
## 2117 0.1162005 109.1121 0.162 first_trace 3
## 2118 0.1162005 109.1121 0.162 first_trace 3
## 2119 0.1162005 109.1121 0.162 first_trace 3
## 2120 0.1162005 109.1121 0.162 first_trace 3
## 2121 0.1162005 109.1121 0.162 first_trace 3
## 2122 0.1162005 109.1121 0.162 first_trace 3
## 2123 0.1162005 109.1121 0.162 first_trace 3
## 2124 0.1162005 109.1121 0.162 first_trace 3
## 2125 0.1162005 109.1121 0.162 first_trace 3
## 2126 0.1162005 109.1121 0.162 first_trace 3
## 2127 0.1162005 109.1121 0.162 first_trace 3
## 2128 0.1162005 109.1121 0.162 first_trace 3
## 2129 0.1162005 109.1121 0.162 first_trace 3
## 2130 0.1162005 109.1121 0.162 first_trace 3
## 2131 0.1162005 109.1121 0.162 first_trace 3
## 2132 0.1162005 109.1121 0.162 first_trace 3
## 2133 0.1162005 109.1121 0.162 second_trace 3
## 2134 0.1162005 109.1121 0.162 second_trace 3
## 2135 0.1162005 109.1121 0.162 second_trace 3
## 2136 0.1162005 109.1121 0.162 second_trace 3
## 2137 0.1162005 109.1121 0.162 second_trace 3
## 2138 0.1162005 109.1121 0.162 second_trace 3
## 2139 0.1162005 109.1121 0.162 second_trace 3
## 2140 0.1162005 109.1121 0.162 second_trace 3
## 2141 0.1162005 109.1121 0.162 second_trace 3
## 2142 0.1162005 109.1121 0.162 second_trace 3
## 2143 0.1162005 109.1121 0.162 second_trace 3
## 2144 0.1162005 109.1121 0.162 second_trace 3
## 2145 0.1162005 109.1121 0.162 second_trace 3
## 2146 0.1162005 109.1121 0.162 second_trace 3
## 2147 0.1162005 109.1121 0.162 second_trace 3
## 2148 0.1162005 109.1121 0.162 second_trace 3
## 2149 0.1162005 109.1121 0.162 second_trace 3
## 2150 0.1162005 109.1121 0.162 second_trace 3
## 2151 0.1162005 109.1121 0.162 second_trace 3
## 2152 0.1162005 109.1121 0.162 second_trace 3
## 2153 0.1162005 109.1121 0.162 second_trace 3
## 2154 0.1162005 109.1121 0.162 second_trace 3
## 2155 0.1162005 109.1121 0.162 second_trace 3
## 2156 0.1162005 109.1121 0.162 second_trace 3
## 2157 0.1162005 109.1121 0.162 second_trace 3
## 2158 0.1162005 109.1121 0.162 second_trace 3
## 2159 0.1162005 109.1121 0.162 second_trace 3
## 2160 0.1162005 109.1121 0.162 second_trace 3
## 2161 0.1162005 109.1121 0.162 second_trace 3
## 2162 0.1162005 109.1121 0.162 second_trace 3
## 2163 0.1162005 109.1121 0.162 second_trace 3
## 2164 0.1162005 109.1121 0.162 second_trace 3
## 2165 0.1162005 109.1121 0.162 second_trace 3
## 2166 0.1162005 109.1121 0.162 second_trace 3
## 2167 0.1162005 109.1121 0.162 second_trace 3
## 2168 0.1162005 109.1121 0.162 second_trace 3
## 2169 0.1162005 109.1121 0.162 second_trace 3
## 2170 0.1162005 109.1121 0.162 second_trace 3
## 2171 0.1162005 109.1121 0.162 second_trace 3
## 2172 0.1162005 109.1121 0.162 second_trace 3
## 2173 0.1162005 109.1121 0.162 second_trace 3
## 2174 0.1162005 109.1121 0.162 second_trace 3
## 2175 0.1162005 109.1121 0.162 second_trace 3
## 2176 0.1162005 109.1121 0.162 second_trace 3
## 2177 0.1162005 109.1121 0.162 second_trace 3
## 2178 0.1162005 109.1121 0.162 second_trace 3
## 2179 0.1162005 109.1121 0.162 second_trace 3
## 2180 0.1162005 109.1121 0.162 second_trace 3
## 2181 0.1162005 109.1121 0.162 second_trace 3
## 2182 0.1162005 109.1121 0.162 second_trace 3
## 2183 0.1162005 109.1121 0.162 second_trace 3
## 2184 0.1162005 109.1121 0.162 mif1 3
## 2185 0.1162005 109.1121 0.162 start 3
## 2186 0.1162005 109.1121 0.162 first_trace 3
## 2187 0.1162005 109.1121 0.162 first_trace 3
## 2188 0.1162005 109.1121 0.162 first_trace 3
## 2189 0.1162005 109.1121 0.162 first_trace 3
## 2190 0.1162005 109.1121 0.162 first_trace 3
## 2191 0.1162005 109.1121 0.162 first_trace 3
## 2192 0.1162005 109.1121 0.162 first_trace 3
## 2193 0.1162005 109.1121 0.162 first_trace 3
## 2194 0.1162005 109.1121 0.162 first_trace 3
## 2195 0.1162005 109.1121 0.162 first_trace 3
## 2196 0.1162005 109.1121 0.162 first_trace 3
## 2197 0.1162005 109.1121 0.162 first_trace 3
## 2198 0.1162005 109.1121 0.162 first_trace 3
## 2199 0.1162005 109.1121 0.162 first_trace 3
## 2200 0.1162005 109.1121 0.162 first_trace 3
## 2201 0.1162005 109.1121 0.162 first_trace 3
## 2202 0.1162005 109.1121 0.162 first_trace 3
## 2203 0.1162005 109.1121 0.162 first_trace 3
## 2204 0.1162005 109.1121 0.162 first_trace 3
## 2205 0.1162005 109.1121 0.162 first_trace 3
## 2206 0.1162005 109.1121 0.162 first_trace 3
## 2207 0.1162005 109.1121 0.162 first_trace 3
## 2208 0.1162005 109.1121 0.162 first_trace 3
## 2209 0.1162005 109.1121 0.162 first_trace 3
## 2210 0.1162005 109.1121 0.162 first_trace 3
## 2211 0.1162005 109.1121 0.162 first_trace 3
## 2212 0.1162005 109.1121 0.162 first_trace 3
## 2213 0.1162005 109.1121 0.162 first_trace 3
## 2214 0.1162005 109.1121 0.162 first_trace 3
## 2215 0.1162005 109.1121 0.162 first_trace 3
## 2216 0.1162005 109.1121 0.162 first_trace 3
## 2217 0.1162005 109.1121 0.162 first_trace 3
## 2218 0.1162005 109.1121 0.162 first_trace 3
## 2219 0.1162005 109.1121 0.162 first_trace 3
## 2220 0.1162005 109.1121 0.162 first_trace 3
## 2221 0.1162005 109.1121 0.162 first_trace 3
## 2222 0.1162005 109.1121 0.162 first_trace 3
## 2223 0.1162005 109.1121 0.162 first_trace 3
## 2224 0.1162005 109.1121 0.162 first_trace 3
## 2225 0.1162005 109.1121 0.162 first_trace 3
## 2226 0.1162005 109.1121 0.162 first_trace 3
## 2227 0.1162005 109.1121 0.162 first_trace 3
## 2228 0.1162005 109.1121 0.162 first_trace 3
## 2229 0.1162005 109.1121 0.162 first_trace 3
## 2230 0.1162005 109.1121 0.162 first_trace 3
## 2231 0.1162005 109.1121 0.162 first_trace 3
## 2232 0.1162005 109.1121 0.162 first_trace 3
## 2233 0.1162005 109.1121 0.162 first_trace 3
## 2234 0.1162005 109.1121 0.162 first_trace 3
## 2235 0.1162005 109.1121 0.162 first_trace 3
## 2236 0.1162005 109.1121 0.162 first_trace 3
## 2237 0.1162005 109.1121 0.162 second_trace 3
## 2238 0.1162005 109.1121 0.162 second_trace 3
## 2239 0.1162005 109.1121 0.162 second_trace 3
## 2240 0.1162005 109.1121 0.162 second_trace 3
## 2241 0.1162005 109.1121 0.162 second_trace 3
## 2242 0.1162005 109.1121 0.162 second_trace 3
## 2243 0.1162005 109.1121 0.162 second_trace 3
## 2244 0.1162005 109.1121 0.162 second_trace 3
## 2245 0.1162005 109.1121 0.162 second_trace 3
## 2246 0.1162005 109.1121 0.162 second_trace 3
## 2247 0.1162005 109.1121 0.162 second_trace 3
## 2248 0.1162005 109.1121 0.162 second_trace 3
## 2249 0.1162005 109.1121 0.162 second_trace 3
## 2250 0.1162005 109.1121 0.162 second_trace 3
## 2251 0.1162005 109.1121 0.162 second_trace 3
## 2252 0.1162005 109.1121 0.162 second_trace 3
## 2253 0.1162005 109.1121 0.162 second_trace 3
## 2254 0.1162005 109.1121 0.162 second_trace 3
## 2255 0.1162005 109.1121 0.162 second_trace 3
## 2256 0.1162005 109.1121 0.162 second_trace 3
## 2257 0.1162005 109.1121 0.162 second_trace 3
## 2258 0.1162005 109.1121 0.162 second_trace 3
## 2259 0.1162005 109.1121 0.162 second_trace 3
## 2260 0.1162005 109.1121 0.162 second_trace 3
## 2261 0.1162005 109.1121 0.162 second_trace 3
## 2262 0.1162005 109.1121 0.162 second_trace 3
## 2263 0.1162005 109.1121 0.162 second_trace 3
## 2264 0.1162005 109.1121 0.162 second_trace 3
## 2265 0.1162005 109.1121 0.162 second_trace 3
## 2266 0.1162005 109.1121 0.162 second_trace 3
## 2267 0.1162005 109.1121 0.162 second_trace 3
## 2268 0.1162005 109.1121 0.162 second_trace 3
## 2269 0.1162005 109.1121 0.162 second_trace 3
## 2270 0.1162005 109.1121 0.162 second_trace 3
## 2271 0.1162005 109.1121 0.162 second_trace 3
## 2272 0.1162005 109.1121 0.162 second_trace 3
## 2273 0.1162005 109.1121 0.162 second_trace 3
## 2274 0.1162005 109.1121 0.162 second_trace 3
## 2275 0.1162005 109.1121 0.162 second_trace 3
## 2276 0.1162005 109.1121 0.162 second_trace 3
## 2277 0.1162005 109.1121 0.162 second_trace 3
## 2278 0.1162005 109.1121 0.162 second_trace 3
## 2279 0.1162005 109.1121 0.162 second_trace 3
## 2280 0.1162005 109.1121 0.162 second_trace 3
## 2281 0.1162005 109.1121 0.162 second_trace 3
## 2282 0.1162005 109.1121 0.162 second_trace 3
## 2283 0.1162005 109.1121 0.162 second_trace 3
## 2284 0.1162005 109.1121 0.162 second_trace 3
## 2285 0.1162005 109.1121 0.162 second_trace 3
## 2286 0.1162005 109.1121 0.162 second_trace 3
## 2287 0.1162005 109.1121 0.162 second_trace 3
## 2288 0.1162005 109.1121 0.162 mif1 3
## 2289 0.1162005 109.1121 0.162 start 3
## 2290 0.1162005 109.1121 0.162 first_trace 3
## 2291 0.1162005 109.1121 0.162 first_trace 3
## 2292 0.1162005 109.1121 0.162 first_trace 3
## 2293 0.1162005 109.1121 0.162 first_trace 3
## 2294 0.1162005 109.1121 0.162 first_trace 3
## 2295 0.1162005 109.1121 0.162 first_trace 3
## 2296 0.1162005 109.1121 0.162 first_trace 3
## 2297 0.1162005 109.1121 0.162 first_trace 3
## 2298 0.1162005 109.1121 0.162 first_trace 3
## 2299 0.1162005 109.1121 0.162 first_trace 3
## 2300 0.1162005 109.1121 0.162 first_trace 3
## 2301 0.1162005 109.1121 0.162 first_trace 3
## 2302 0.1162005 109.1121 0.162 first_trace 3
## 2303 0.1162005 109.1121 0.162 first_trace 3
## 2304 0.1162005 109.1121 0.162 first_trace 3
## 2305 0.1162005 109.1121 0.162 first_trace 3
## 2306 0.1162005 109.1121 0.162 first_trace 3
## 2307 0.1162005 109.1121 0.162 first_trace 3
## 2308 0.1162005 109.1121 0.162 first_trace 3
## 2309 0.1162005 109.1121 0.162 first_trace 3
## 2310 0.1162005 109.1121 0.162 first_trace 3
## 2311 0.1162005 109.1121 0.162 first_trace 3
## 2312 0.1162005 109.1121 0.162 first_trace 3
## 2313 0.1162005 109.1121 0.162 first_trace 3
## 2314 0.1162005 109.1121 0.162 first_trace 3
## 2315 0.1162005 109.1121 0.162 first_trace 3
## 2316 0.1162005 109.1121 0.162 first_trace 3
## 2317 0.1162005 109.1121 0.162 first_trace 3
## 2318 0.1162005 109.1121 0.162 first_trace 3
## 2319 0.1162005 109.1121 0.162 first_trace 3
## 2320 0.1162005 109.1121 0.162 first_trace 3
## 2321 0.1162005 109.1121 0.162 first_trace 3
## 2322 0.1162005 109.1121 0.162 first_trace 3
## 2323 0.1162005 109.1121 0.162 first_trace 3
## 2324 0.1162005 109.1121 0.162 first_trace 3
## 2325 0.1162005 109.1121 0.162 first_trace 3
## 2326 0.1162005 109.1121 0.162 first_trace 3
## 2327 0.1162005 109.1121 0.162 first_trace 3
## 2328 0.1162005 109.1121 0.162 first_trace 3
## 2329 0.1162005 109.1121 0.162 first_trace 3
## 2330 0.1162005 109.1121 0.162 first_trace 3
## 2331 0.1162005 109.1121 0.162 first_trace 3
## 2332 0.1162005 109.1121 0.162 first_trace 3
## 2333 0.1162005 109.1121 0.162 first_trace 3
## 2334 0.1162005 109.1121 0.162 first_trace 3
## 2335 0.1162005 109.1121 0.162 first_trace 3
## 2336 0.1162005 109.1121 0.162 first_trace 3
## 2337 0.1162005 109.1121 0.162 first_trace 3
## 2338 0.1162005 109.1121 0.162 first_trace 3
## 2339 0.1162005 109.1121 0.162 first_trace 3
## 2340 0.1162005 109.1121 0.162 first_trace 3
## 2341 0.1162005 109.1121 0.162 second_trace 3
## 2342 0.1162005 109.1121 0.162 second_trace 3
## 2343 0.1162005 109.1121 0.162 second_trace 3
## 2344 0.1162005 109.1121 0.162 second_trace 3
## 2345 0.1162005 109.1121 0.162 second_trace 3
## 2346 0.1162005 109.1121 0.162 second_trace 3
## 2347 0.1162005 109.1121 0.162 second_trace 3
## 2348 0.1162005 109.1121 0.162 second_trace 3
## 2349 0.1162005 109.1121 0.162 second_trace 3
## 2350 0.1162005 109.1121 0.162 second_trace 3
## 2351 0.1162005 109.1121 0.162 second_trace 3
## 2352 0.1162005 109.1121 0.162 second_trace 3
## 2353 0.1162005 109.1121 0.162 second_trace 3
## 2354 0.1162005 109.1121 0.162 second_trace 3
## 2355 0.1162005 109.1121 0.162 second_trace 3
## 2356 0.1162005 109.1121 0.162 second_trace 3
## 2357 0.1162005 109.1121 0.162 second_trace 3
## 2358 0.1162005 109.1121 0.162 second_trace 3
## 2359 0.1162005 109.1121 0.162 second_trace 3
## 2360 0.1162005 109.1121 0.162 second_trace 3
## 2361 0.1162005 109.1121 0.162 second_trace 3
## 2362 0.1162005 109.1121 0.162 second_trace 3
## 2363 0.1162005 109.1121 0.162 second_trace 3
## 2364 0.1162005 109.1121 0.162 second_trace 3
## 2365 0.1162005 109.1121 0.162 second_trace 3
## 2366 0.1162005 109.1121 0.162 second_trace 3
## 2367 0.1162005 109.1121 0.162 second_trace 3
## 2368 0.1162005 109.1121 0.162 second_trace 3
## 2369 0.1162005 109.1121 0.162 second_trace 3
## 2370 0.1162005 109.1121 0.162 second_trace 3
## 2371 0.1162005 109.1121 0.162 second_trace 3
## 2372 0.1162005 109.1121 0.162 second_trace 3
## 2373 0.1162005 109.1121 0.162 second_trace 3
## 2374 0.1162005 109.1121 0.162 second_trace 3
## 2375 0.1162005 109.1121 0.162 second_trace 3
## 2376 0.1162005 109.1121 0.162 second_trace 3
## 2377 0.1162005 109.1121 0.162 second_trace 3
## 2378 0.1162005 109.1121 0.162 second_trace 3
## 2379 0.1162005 109.1121 0.162 second_trace 3
## 2380 0.1162005 109.1121 0.162 second_trace 3
## 2381 0.1162005 109.1121 0.162 second_trace 3
## 2382 0.1162005 109.1121 0.162 second_trace 3
## 2383 0.1162005 109.1121 0.162 second_trace 3
## 2384 0.1162005 109.1121 0.162 second_trace 3
## 2385 0.1162005 109.1121 0.162 second_trace 3
## 2386 0.1162005 109.1121 0.162 second_trace 3
## 2387 0.1162005 109.1121 0.162 second_trace 3
## 2388 0.1162005 109.1121 0.162 second_trace 3
## 2389 0.1162005 109.1121 0.162 second_trace 3
## 2390 0.1162005 109.1121 0.162 second_trace 3
## 2391 0.1162005 109.1121 0.162 second_trace 3
## 2392 0.1162005 109.1121 0.162 mif1 3
## 2393 0.1162005 109.1121 0.162 start 3
## 2394 0.1162005 109.1121 0.162 first_trace 3
## 2395 0.1162005 109.1121 0.162 first_trace 3
## 2396 0.1162005 109.1121 0.162 first_trace 3
## 2397 0.1162005 109.1121 0.162 first_trace 3
## 2398 0.1162005 109.1121 0.162 first_trace 3
## 2399 0.1162005 109.1121 0.162 first_trace 3
## 2400 0.1162005 109.1121 0.162 first_trace 3
## 2401 0.1162005 109.1121 0.162 first_trace 3
## 2402 0.1162005 109.1121 0.162 first_trace 3
## 2403 0.1162005 109.1121 0.162 first_trace 3
## 2404 0.1162005 109.1121 0.162 first_trace 3
## 2405 0.1162005 109.1121 0.162 first_trace 3
## 2406 0.1162005 109.1121 0.162 first_trace 3
## 2407 0.1162005 109.1121 0.162 first_trace 3
## 2408 0.1162005 109.1121 0.162 first_trace 3
## 2409 0.1162005 109.1121 0.162 first_trace 3
## 2410 0.1162005 109.1121 0.162 first_trace 3
## 2411 0.1162005 109.1121 0.162 first_trace 3
## 2412 0.1162005 109.1121 0.162 first_trace 3
## 2413 0.1162005 109.1121 0.162 first_trace 3
## 2414 0.1162005 109.1121 0.162 first_trace 3
## 2415 0.1162005 109.1121 0.162 first_trace 3
## 2416 0.1162005 109.1121 0.162 first_trace 3
## 2417 0.1162005 109.1121 0.162 first_trace 3
## 2418 0.1162005 109.1121 0.162 first_trace 3
## 2419 0.1162005 109.1121 0.162 first_trace 3
## 2420 0.1162005 109.1121 0.162 first_trace 3
## 2421 0.1162005 109.1121 0.162 first_trace 3
## 2422 0.1162005 109.1121 0.162 first_trace 3
## 2423 0.1162005 109.1121 0.162 first_trace 3
## 2424 0.1162005 109.1121 0.162 first_trace 3
## 2425 0.1162005 109.1121 0.162 first_trace 3
## 2426 0.1162005 109.1121 0.162 first_trace 3
## 2427 0.1162005 109.1121 0.162 first_trace 3
## 2428 0.1162005 109.1121 0.162 first_trace 3
## 2429 0.1162005 109.1121 0.162 first_trace 3
## 2430 0.1162005 109.1121 0.162 first_trace 3
## 2431 0.1162005 109.1121 0.162 first_trace 3
## 2432 0.1162005 109.1121 0.162 first_trace 3
## 2433 0.1162005 109.1121 0.162 first_trace 3
## 2434 0.1162005 109.1121 0.162 first_trace 3
## 2435 0.1162005 109.1121 0.162 first_trace 3
## 2436 0.1162005 109.1121 0.162 first_trace 3
## 2437 0.1162005 109.1121 0.162 first_trace 3
## 2438 0.1162005 109.1121 0.162 first_trace 3
## 2439 0.1162005 109.1121 0.162 first_trace 3
## 2440 0.1162005 109.1121 0.162 first_trace 3
## 2441 0.1162005 109.1121 0.162 first_trace 3
## 2442 0.1162005 109.1121 0.162 first_trace 3
## 2443 0.1162005 109.1121 0.162 first_trace 3
## 2444 0.1162005 109.1121 0.162 first_trace 3
## 2445 0.1162005 109.1121 0.162 second_trace 3
## 2446 0.1162005 109.1121 0.162 second_trace 3
## 2447 0.1162005 109.1121 0.162 second_trace 3
## 2448 0.1162005 109.1121 0.162 second_trace 3
## 2449 0.1162005 109.1121 0.162 second_trace 3
## 2450 0.1162005 109.1121 0.162 second_trace 3
## 2451 0.1162005 109.1121 0.162 second_trace 3
## 2452 0.1162005 109.1121 0.162 second_trace 3
## 2453 0.1162005 109.1121 0.162 second_trace 3
## 2454 0.1162005 109.1121 0.162 second_trace 3
## 2455 0.1162005 109.1121 0.162 second_trace 3
## 2456 0.1162005 109.1121 0.162 second_trace 3
## 2457 0.1162005 109.1121 0.162 second_trace 3
## 2458 0.1162005 109.1121 0.162 second_trace 3
## 2459 0.1162005 109.1121 0.162 second_trace 3
## 2460 0.1162005 109.1121 0.162 second_trace 3
## 2461 0.1162005 109.1121 0.162 second_trace 3
## 2462 0.1162005 109.1121 0.162 second_trace 3
## 2463 0.1162005 109.1121 0.162 second_trace 3
## 2464 0.1162005 109.1121 0.162 second_trace 3
## 2465 0.1162005 109.1121 0.162 second_trace 3
## 2466 0.1162005 109.1121 0.162 second_trace 3
## 2467 0.1162005 109.1121 0.162 second_trace 3
## 2468 0.1162005 109.1121 0.162 second_trace 3
## 2469 0.1162005 109.1121 0.162 second_trace 3
## 2470 0.1162005 109.1121 0.162 second_trace 3
## 2471 0.1162005 109.1121 0.162 second_trace 3
## 2472 0.1162005 109.1121 0.162 second_trace 3
## 2473 0.1162005 109.1121 0.162 second_trace 3
## 2474 0.1162005 109.1121 0.162 second_trace 3
## 2475 0.1162005 109.1121 0.162 second_trace 3
## 2476 0.1162005 109.1121 0.162 second_trace 3
## 2477 0.1162005 109.1121 0.162 second_trace 3
## 2478 0.1162005 109.1121 0.162 second_trace 3
## 2479 0.1162005 109.1121 0.162 second_trace 3
## 2480 0.1162005 109.1121 0.162 second_trace 3
## 2481 0.1162005 109.1121 0.162 second_trace 3
## 2482 0.1162005 109.1121 0.162 second_trace 3
## 2483 0.1162005 109.1121 0.162 second_trace 3
## 2484 0.1162005 109.1121 0.162 second_trace 3
## 2485 0.1162005 109.1121 0.162 second_trace 3
## 2486 0.1162005 109.1121 0.162 second_trace 3
## 2487 0.1162005 109.1121 0.162 second_trace 3
## 2488 0.1162005 109.1121 0.162 second_trace 3
## 2489 0.1162005 109.1121 0.162 second_trace 3
## 2490 0.1162005 109.1121 0.162 second_trace 3
## 2491 0.1162005 109.1121 0.162 second_trace 3
## 2492 0.1162005 109.1121 0.162 second_trace 3
## 2493 0.1162005 109.1121 0.162 second_trace 3
## 2494 0.1162005 109.1121 0.162 second_trace 3
## 2495 0.1162005 109.1121 0.162 second_trace 3
## 2496 0.1162005 109.1121 0.162 mif1 3
## 2497 0.1162005 109.1121 0.162 start 3
## 2498 0.1162005 109.1121 0.162 first_trace 3
## 2499 0.1162005 109.1121 0.162 first_trace 3
## 2500 0.1162005 109.1121 0.162 first_trace 3
## 2501 0.1162005 109.1121 0.162 first_trace 3
## 2502 0.1162005 109.1121 0.162 first_trace 3
## 2503 0.1162005 109.1121 0.162 first_trace 3
## 2504 0.1162005 109.1121 0.162 first_trace 3
## 2505 0.1162005 109.1121 0.162 first_trace 3
## 2506 0.1162005 109.1121 0.162 first_trace 3
## 2507 0.1162005 109.1121 0.162 first_trace 3
## 2508 0.1162005 109.1121 0.162 first_trace 3
## 2509 0.1162005 109.1121 0.162 first_trace 3
## 2510 0.1162005 109.1121 0.162 first_trace 3
## 2511 0.1162005 109.1121 0.162 first_trace 3
## 2512 0.1162005 109.1121 0.162 first_trace 3
## 2513 0.1162005 109.1121 0.162 first_trace 3
## 2514 0.1162005 109.1121 0.162 first_trace 3
## 2515 0.1162005 109.1121 0.162 first_trace 3
## 2516 0.1162005 109.1121 0.162 first_trace 3
## 2517 0.1162005 109.1121 0.162 first_trace 3
## 2518 0.1162005 109.1121 0.162 first_trace 3
## 2519 0.1162005 109.1121 0.162 first_trace 3
## 2520 0.1162005 109.1121 0.162 first_trace 3
## 2521 0.1162005 109.1121 0.162 first_trace 3
## 2522 0.1162005 109.1121 0.162 first_trace 3
## 2523 0.1162005 109.1121 0.162 first_trace 3
## 2524 0.1162005 109.1121 0.162 first_trace 3
## 2525 0.1162005 109.1121 0.162 first_trace 3
## 2526 0.1162005 109.1121 0.162 first_trace 3
## 2527 0.1162005 109.1121 0.162 first_trace 3
## 2528 0.1162005 109.1121 0.162 first_trace 3
## 2529 0.1162005 109.1121 0.162 first_trace 3
## 2530 0.1162005 109.1121 0.162 first_trace 3
## 2531 0.1162005 109.1121 0.162 first_trace 3
## 2532 0.1162005 109.1121 0.162 first_trace 3
## 2533 0.1162005 109.1121 0.162 first_trace 3
## 2534 0.1162005 109.1121 0.162 first_trace 3
## 2535 0.1162005 109.1121 0.162 first_trace 3
## 2536 0.1162005 109.1121 0.162 first_trace 3
## 2537 0.1162005 109.1121 0.162 first_trace 3
## 2538 0.1162005 109.1121 0.162 first_trace 3
## 2539 0.1162005 109.1121 0.162 first_trace 3
## 2540 0.1162005 109.1121 0.162 first_trace 3
## 2541 0.1162005 109.1121 0.162 first_trace 3
## 2542 0.1162005 109.1121 0.162 first_trace 3
## 2543 0.1162005 109.1121 0.162 first_trace 3
## 2544 0.1162005 109.1121 0.162 first_trace 3
## 2545 0.1162005 109.1121 0.162 first_trace 3
## 2546 0.1162005 109.1121 0.162 first_trace 3
## 2547 0.1162005 109.1121 0.162 first_trace 3
## 2548 0.1162005 109.1121 0.162 first_trace 3
## 2549 0.1162005 109.1121 0.162 second_trace 3
## 2550 0.1162005 109.1121 0.162 second_trace 3
## 2551 0.1162005 109.1121 0.162 second_trace 3
## 2552 0.1162005 109.1121 0.162 second_trace 3
## 2553 0.1162005 109.1121 0.162 second_trace 3
## 2554 0.1162005 109.1121 0.162 second_trace 3
## 2555 0.1162005 109.1121 0.162 second_trace 3
## 2556 0.1162005 109.1121 0.162 second_trace 3
## 2557 0.1162005 109.1121 0.162 second_trace 3
## 2558 0.1162005 109.1121 0.162 second_trace 3
## 2559 0.1162005 109.1121 0.162 second_trace 3
## 2560 0.1162005 109.1121 0.162 second_trace 3
## 2561 0.1162005 109.1121 0.162 second_trace 3
## 2562 0.1162005 109.1121 0.162 second_trace 3
## 2563 0.1162005 109.1121 0.162 second_trace 3
## 2564 0.1162005 109.1121 0.162 second_trace 3
## 2565 0.1162005 109.1121 0.162 second_trace 3
## 2566 0.1162005 109.1121 0.162 second_trace 3
## 2567 0.1162005 109.1121 0.162 second_trace 3
## 2568 0.1162005 109.1121 0.162 second_trace 3
## 2569 0.1162005 109.1121 0.162 second_trace 3
## 2570 0.1162005 109.1121 0.162 second_trace 3
## 2571 0.1162005 109.1121 0.162 second_trace 3
## 2572 0.1162005 109.1121 0.162 second_trace 3
## 2573 0.1162005 109.1121 0.162 second_trace 3
## 2574 0.1162005 109.1121 0.162 second_trace 3
## 2575 0.1162005 109.1121 0.162 second_trace 3
## 2576 0.1162005 109.1121 0.162 second_trace 3
## 2577 0.1162005 109.1121 0.162 second_trace 3
## 2578 0.1162005 109.1121 0.162 second_trace 3
## 2579 0.1162005 109.1121 0.162 second_trace 3
## 2580 0.1162005 109.1121 0.162 second_trace 3
## 2581 0.1162005 109.1121 0.162 second_trace 3
## 2582 0.1162005 109.1121 0.162 second_trace 3
## 2583 0.1162005 109.1121 0.162 second_trace 3
## 2584 0.1162005 109.1121 0.162 second_trace 3
## 2585 0.1162005 109.1121 0.162 second_trace 3
## 2586 0.1162005 109.1121 0.162 second_trace 3
## 2587 0.1162005 109.1121 0.162 second_trace 3
## 2588 0.1162005 109.1121 0.162 second_trace 3
## 2589 0.1162005 109.1121 0.162 second_trace 3
## 2590 0.1162005 109.1121 0.162 second_trace 3
## 2591 0.1162005 109.1121 0.162 second_trace 3
## 2592 0.1162005 109.1121 0.162 second_trace 3
## 2593 0.1162005 109.1121 0.162 second_trace 3
## 2594 0.1162005 109.1121 0.162 second_trace 3
## 2595 0.1162005 109.1121 0.162 second_trace 3
## 2596 0.1162005 109.1121 0.162 second_trace 3
## 2597 0.1162005 109.1121 0.162 second_trace 3
## 2598 0.1162005 109.1121 0.162 second_trace 3
## 2599 0.1162005 109.1121 0.162 second_trace 3
## 2600 0.1162005 109.1121 0.162 mif1 3
## 2601 0.1162005 109.1121 0.162 start 3
## 2602 0.1162005 109.1121 0.162 first_trace 3
## 2603 0.1162005 109.1121 0.162 first_trace 3
## 2604 0.1162005 109.1121 0.162 first_trace 3
## 2605 0.1162005 109.1121 0.162 first_trace 3
## 2606 0.1162005 109.1121 0.162 first_trace 3
## 2607 0.1162005 109.1121 0.162 first_trace 3
## 2608 0.1162005 109.1121 0.162 first_trace 3
## 2609 0.1162005 109.1121 0.162 first_trace 3
## 2610 0.1162005 109.1121 0.162 first_trace 3
## 2611 0.1162005 109.1121 0.162 first_trace 3
## 2612 0.1162005 109.1121 0.162 first_trace 3
## 2613 0.1162005 109.1121 0.162 first_trace 3
## 2614 0.1162005 109.1121 0.162 first_trace 3
## 2615 0.1162005 109.1121 0.162 first_trace 3
## 2616 0.1162005 109.1121 0.162 first_trace 3
## 2617 0.1162005 109.1121 0.162 first_trace 3
## 2618 0.1162005 109.1121 0.162 first_trace 3
## 2619 0.1162005 109.1121 0.162 first_trace 3
## 2620 0.1162005 109.1121 0.162 first_trace 3
## 2621 0.1162005 109.1121 0.162 first_trace 3
## 2622 0.1162005 109.1121 0.162 first_trace 3
## 2623 0.1162005 109.1121 0.162 first_trace 3
## 2624 0.1162005 109.1121 0.162 first_trace 3
## 2625 0.1162005 109.1121 0.162 first_trace 3
## 2626 0.1162005 109.1121 0.162 first_trace 3
## 2627 0.1162005 109.1121 0.162 first_trace 3
## 2628 0.1162005 109.1121 0.162 first_trace 3
## 2629 0.1162005 109.1121 0.162 first_trace 3
## 2630 0.1162005 109.1121 0.162 first_trace 3
## 2631 0.1162005 109.1121 0.162 first_trace 3
## 2632 0.1162005 109.1121 0.162 first_trace 3
## 2633 0.1162005 109.1121 0.162 first_trace 3
## 2634 0.1162005 109.1121 0.162 first_trace 3
## 2635 0.1162005 109.1121 0.162 first_trace 3
## 2636 0.1162005 109.1121 0.162 first_trace 3
## 2637 0.1162005 109.1121 0.162 first_trace 3
## 2638 0.1162005 109.1121 0.162 first_trace 3
## 2639 0.1162005 109.1121 0.162 first_trace 3
## 2640 0.1162005 109.1121 0.162 first_trace 3
## 2641 0.1162005 109.1121 0.162 first_trace 3
## 2642 0.1162005 109.1121 0.162 first_trace 3
## 2643 0.1162005 109.1121 0.162 first_trace 3
## 2644 0.1162005 109.1121 0.162 first_trace 3
## 2645 0.1162005 109.1121 0.162 first_trace 3
## 2646 0.1162005 109.1121 0.162 first_trace 3
## 2647 0.1162005 109.1121 0.162 first_trace 3
## 2648 0.1162005 109.1121 0.162 first_trace 3
## 2649 0.1162005 109.1121 0.162 first_trace 3
## 2650 0.1162005 109.1121 0.162 first_trace 3
## 2651 0.1162005 109.1121 0.162 first_trace 3
## 2652 0.1162005 109.1121 0.162 first_trace 3
## 2653 0.1162005 109.1121 0.162 second_trace 3
## 2654 0.1162005 109.1121 0.162 second_trace 3
## 2655 0.1162005 109.1121 0.162 second_trace 3
## 2656 0.1162005 109.1121 0.162 second_trace 3
## 2657 0.1162005 109.1121 0.162 second_trace 3
## 2658 0.1162005 109.1121 0.162 second_trace 3
## 2659 0.1162005 109.1121 0.162 second_trace 3
## 2660 0.1162005 109.1121 0.162 second_trace 3
## 2661 0.1162005 109.1121 0.162 second_trace 3
## 2662 0.1162005 109.1121 0.162 second_trace 3
## 2663 0.1162005 109.1121 0.162 second_trace 3
## 2664 0.1162005 109.1121 0.162 second_trace 3
## 2665 0.1162005 109.1121 0.162 second_trace 3
## 2666 0.1162005 109.1121 0.162 second_trace 3
## 2667 0.1162005 109.1121 0.162 second_trace 3
## 2668 0.1162005 109.1121 0.162 second_trace 3
## 2669 0.1162005 109.1121 0.162 second_trace 3
## 2670 0.1162005 109.1121 0.162 second_trace 3
## 2671 0.1162005 109.1121 0.162 second_trace 3
## 2672 0.1162005 109.1121 0.162 second_trace 3
## 2673 0.1162005 109.1121 0.162 second_trace 3
## 2674 0.1162005 109.1121 0.162 second_trace 3
## 2675 0.1162005 109.1121 0.162 second_trace 3
## 2676 0.1162005 109.1121 0.162 second_trace 3
## 2677 0.1162005 109.1121 0.162 second_trace 3
## 2678 0.1162005 109.1121 0.162 second_trace 3
## 2679 0.1162005 109.1121 0.162 second_trace 3
## 2680 0.1162005 109.1121 0.162 second_trace 3
## 2681 0.1162005 109.1121 0.162 second_trace 3
## 2682 0.1162005 109.1121 0.162 second_trace 3
## 2683 0.1162005 109.1121 0.162 second_trace 3
## 2684 0.1162005 109.1121 0.162 second_trace 3
## 2685 0.1162005 109.1121 0.162 second_trace 3
## 2686 0.1162005 109.1121 0.162 second_trace 3
## 2687 0.1162005 109.1121 0.162 second_trace 3
## 2688 0.1162005 109.1121 0.162 second_trace 3
## 2689 0.1162005 109.1121 0.162 second_trace 3
## 2690 0.1162005 109.1121 0.162 second_trace 3
## 2691 0.1162005 109.1121 0.162 second_trace 3
## 2692 0.1162005 109.1121 0.162 second_trace 3
## 2693 0.1162005 109.1121 0.162 second_trace 3
## 2694 0.1162005 109.1121 0.162 second_trace 3
## 2695 0.1162005 109.1121 0.162 second_trace 3
## 2696 0.1162005 109.1121 0.162 second_trace 3
## 2697 0.1162005 109.1121 0.162 second_trace 3
## 2698 0.1162005 109.1121 0.162 second_trace 3
## 2699 0.1162005 109.1121 0.162 second_trace 3
## 2700 0.1162005 109.1121 0.162 second_trace 3
## 2701 0.1162005 109.1121 0.162 second_trace 3
## 2702 0.1162005 109.1121 0.162 second_trace 3
## param_index loglik nfail trace_num loglist.se
## 1 1 NA NA NA NA
## 2 1 -814.9490 0 1 NA
## 3 1 -741.9690 0 2 NA
## 4 1 -737.5145 0 3 NA
## 5 1 -730.2055 0 4 NA
## 6 1 -729.4946 0 5 NA
## 7 1 -724.7050 0 6 NA
## 8 1 -722.0513 0 7 NA
## 9 1 -721.9451 0 8 NA
## 10 1 -718.9500 0 9 NA
## 11 1 -722.1724 0 10 NA
## 12 1 -713.2659 0 11 NA
## 13 1 -713.9258 0 12 NA
## 14 1 -718.7385 0 13 NA
## 15 1 -718.9623 0 14 NA
## 16 1 -717.2684 0 15 NA
## 17 1 -717.9285 0 16 NA
## 18 1 -715.3372 0 17 NA
## 19 1 -713.9264 0 18 NA
## 20 1 -711.4461 0 19 NA
## 21 1 -717.9160 0 20 NA
## 22 1 -715.7212 0 21 NA
## 23 1 -705.6081 0 22 NA
## 24 1 -709.4713 0 23 NA
## 25 1 -713.6528 0 24 NA
## 26 1 -706.6063 0 25 NA
## 27 1 -713.5184 0 26 NA
## 28 1 -709.2851 0 27 NA
## 29 1 -713.4549 0 28 NA
## 30 1 -707.1889 0 29 NA
## 31 1 -710.1406 0 30 NA
## 32 1 -706.8141 0 31 NA
## 33 1 -705.4065 0 32 NA
## 34 1 -699.6520 0 33 NA
## 35 1 -701.4447 0 34 NA
## 36 1 -697.9902 0 35 NA
## 37 1 -708.8679 0 36 NA
## 38 1 -704.9215 0 37 NA
## 39 1 -702.6916 0 38 NA
## 40 1 -700.4092 0 39 NA
## 41 1 -702.8248 0 40 NA
## 42 1 -699.4698 0 41 NA
## 43 1 -703.3694 0 42 NA
## 44 1 -697.4507 0 43 NA
## 45 1 -695.7060 0 44 NA
## 46 1 -696.8328 0 45 NA
## 47 1 -703.5323 0 46 NA
## 48 1 -695.4627 0 47 NA
## 49 1 -689.1364 0 48 NA
## 50 1 -692.2804 0 49 NA
## 51 1 -687.9484 0 50 NA
## 52 1 NA NA 51 NA
## 53 1 -681.0616 0 1 NA
## 54 1 -687.4983 0 2 NA
## 55 1 -678.6905 0 3 NA
## 56 1 -672.5336 0 4 NA
## 57 1 -663.9338 0 5 NA
## 58 1 -652.5539 0 6 NA
## 59 1 -651.5497 0 7 NA
## 60 1 -649.0261 0 8 NA
## 61 1 -647.4225 0 9 NA
## 62 1 -647.8029 0 10 NA
## 63 1 -647.0058 0 11 NA
## 64 1 -647.4955 0 12 NA
## 65 1 -646.8488 0 13 NA
## 66 1 -647.3154 0 14 NA
## 67 1 -647.3599 0 15 NA
## 68 1 -646.9331 0 16 NA
## 69 1 -647.4228 0 17 NA
## 70 1 -646.6268 0 18 NA
## 71 1 -646.0556 0 19 NA
## 72 1 -647.1423 0 20 NA
## 73 1 -646.6342 0 21 NA
## 74 1 -647.3353 0 22 NA
## 75 1 -646.8583 0 23 NA
## 76 1 -646.0554 0 24 NA
## 77 1 -646.8496 0 25 NA
## 78 1 -646.0221 0 26 NA
## 79 1 -646.4502 0 27 NA
## 80 1 -645.5944 0 28 NA
## 81 1 -645.8163 0 29 NA
## 82 1 -646.0344 0 30 NA
## 83 1 -645.7952 0 31 NA
## 84 1 -646.3882 0 32 NA
## 85 1 -646.0836 0 33 NA
## 86 1 -645.7667 0 34 NA
## 87 1 -646.3811 0 35 NA
## 88 1 -645.7946 0 36 NA
## 89 1 -645.8730 0 37 NA
## 90 1 -645.9752 0 38 NA
## 91 1 -645.1426 0 39 NA
## 92 1 -646.3844 0 40 NA
## 93 1 -645.2932 0 41 NA
## 94 1 -645.4100 0 42 NA
## 95 1 -646.0657 0 43 NA
## 96 1 -645.2129 0 44 NA
## 97 1 -645.9080 0 45 NA
## 98 1 -644.5570 0 46 NA
## 99 1 -644.4625 0 47 NA
## 100 1 -644.2526 0 48 NA
## 101 1 -644.4783 0 49 NA
## 102 1 -644.8741 0 50 NA
## 103 1 NA NA 51 NA
## 104 1 -642.2807 NA NA 0.022995809
## 105 2 NA NA NA NA
## 106 2 -769.9180 0 1 NA
## 107 2 -730.0827 0 2 NA
## 108 2 -695.3277 0 3 NA
## 109 2 -665.4697 0 4 NA
## 110 2 -655.3378 0 5 NA
## 111 2 -654.4638 0 6 NA
## 112 2 -649.3643 0 7 NA
## 113 2 -647.0678 0 8 NA
## 114 2 -646.6247 0 9 NA
## 115 2 -645.3481 0 10 NA
## 116 2 -644.2167 0 11 NA
## 117 2 -644.4003 0 12 NA
## 118 2 -642.9447 0 13 NA
## 119 2 -641.7674 0 14 NA
## 120 2 -641.8503 0 15 NA
## 121 2 -640.6733 0 16 NA
## 122 2 -640.7428 0 17 NA
## 123 2 -640.2174 0 18 NA
## 124 2 -640.6864 0 19 NA
## 125 2 -641.1271 0 20 NA
## 126 2 -641.0061 0 21 NA
## 127 2 -641.1991 0 22 NA
## 128 2 -640.9345 0 23 NA
## 129 2 -640.9240 0 24 NA
## 130 2 -640.2168 0 25 NA
## 131 2 -640.6817 0 26 NA
## 132 2 -640.3157 0 27 NA
## 133 2 -640.4231 0 28 NA
## 134 2 -640.3857 0 29 NA
## 135 2 -640.5303 0 30 NA
## 136 2 -639.8117 0 31 NA
## 137 2 -639.8064 0 32 NA
## 138 2 -639.6857 0 33 NA
## 139 2 -639.7146 0 34 NA
## 140 2 -639.6766 0 35 NA
## 141 2 -639.9937 0 36 NA
## 142 2 -639.7753 0 37 NA
## 143 2 -639.9291 0 38 NA
## 144 2 -639.0807 0 39 NA
## 145 2 -639.8268 0 40 NA
## 146 2 -639.4668 0 41 NA
## 147 2 -639.4558 0 42 NA
## 148 2 -639.2576 0 43 NA
## 149 2 -639.1901 0 44 NA
## 150 2 -639.5285 0 45 NA
## 151 2 -639.5748 0 46 NA
## 152 2 -639.7893 0 47 NA
## 153 2 -639.5563 0 48 NA
## 154 2 -639.0379 0 49 NA
## 155 2 -639.0474 0 50 NA
## 156 2 NA NA 51 NA
## 157 2 -638.6364 0 1 NA
## 158 2 -640.6476 0 2 NA
## 159 2 -640.4089 0 3 NA
## 160 2 -640.7171 0 4 NA
## 161 2 -640.2123 0 5 NA
## 162 2 -639.7747 0 6 NA
## 163 2 -640.8047 0 7 NA
## 164 2 -640.1019 0 8 NA
## 165 2 -640.0427 0 9 NA
## 166 2 -640.0002 0 10 NA
## 167 2 -640.0261 0 11 NA
## 168 2 -639.4090 0 12 NA
## 169 2 -638.7256 0 13 NA
## 170 2 -638.9592 0 14 NA
## 171 2 -639.1998 0 15 NA
## 172 2 -639.1995 0 16 NA
## 173 2 -639.0936 0 17 NA
## 174 2 -638.6911 0 18 NA
## 175 2 -638.6341 0 19 NA
## 176 2 -638.9262 0 20 NA
## 177 2 -638.5971 0 21 NA
## 178 2 -638.6292 0 22 NA
## 179 2 -638.4082 0 23 NA
## 180 2 -638.3338 0 24 NA
## 181 2 -638.2193 0 25 NA
## 182 2 -637.9796 0 26 NA
## 183 2 -637.8878 0 27 NA
## 184 2 -638.3653 0 28 NA
## 185 2 -638.1472 0 29 NA
## 186 2 -637.9095 0 30 NA
## 187 2 -637.9014 0 31 NA
## 188 2 -637.8001 0 32 NA
## 189 2 -637.8711 0 33 NA
## 190 2 -637.4313 0 34 NA
## 191 2 -637.4031 0 35 NA
## 192 2 -637.3544 0 36 NA
## 193 2 -637.3857 0 37 NA
## 194 2 -637.4913 0 38 NA
## 195 2 -637.3808 0 39 NA
## 196 2 -637.1840 0 40 NA
## 197 2 -637.0588 0 41 NA
## 198 2 -637.2535 0 42 NA
## 199 2 -636.9368 0 43 NA
## 200 2 -636.9907 0 44 NA
## 201 2 -636.8813 0 45 NA
## 202 2 -636.6770 0 46 NA
## 203 2 -636.4836 0 47 NA
## 204 2 -636.5535 0 48 NA
## 205 2 -636.6215 0 49 NA
## 206 2 -636.2734 0 50 NA
## 207 2 NA NA 51 NA
## 208 2 -632.6169 NA NA 0.009518474
## 209 3 NA NA NA NA
## 210 3 -Inf 72 1 NA
## 211 3 -Inf 69 2 NA
## 212 3 -6714.8918 0 3 NA
## 213 3 -932.8371 0 4 NA
## 214 3 -773.7168 0 5 NA
## 215 3 -687.9330 0 6 NA
## 216 3 -660.9069 0 7 NA
## 217 3 -643.1554 0 8 NA
## 218 3 -642.2445 0 9 NA
## 219 3 -642.5635 0 10 NA
## 220 3 -641.9134 0 11 NA
## 221 3 -642.7289 0 12 NA
## 222 3 -641.0674 0 13 NA
## 223 3 -642.1007 0 14 NA
## 224 3 -641.1844 0 15 NA
## 225 3 -640.9030 0 16 NA
## 226 3 -640.6406 0 17 NA
## 227 3 -640.5389 0 18 NA
## 228 3 -641.3170 0 19 NA
## 229 3 -641.5187 0 20 NA
## 230 3 -640.5404 0 21 NA
## 231 3 -640.1717 0 22 NA
## 232 3 -641.2444 0 23 NA
## 233 3 -641.0809 0 24 NA
## 234 3 -641.2002 0 25 NA
## 235 3 -640.2910 0 26 NA
## 236 3 -639.8084 0 27 NA
## 237 3 -640.3411 0 28 NA
## 238 3 -640.2666 0 29 NA
## 239 3 -640.0817 0 30 NA
## 240 3 -640.3442 0 31 NA
## 241 3 -640.1953 0 32 NA
## 242 3 -639.7010 0 33 NA
## 243 3 -640.1007 0 34 NA
## 244 3 -639.3659 0 35 NA
## 245 3 -639.2407 0 36 NA
## 246 3 -639.0565 0 37 NA
## 247 3 -639.1135 0 38 NA
## 248 3 -639.2499 0 39 NA
## 249 3 -639.0016 0 40 NA
## 250 3 -639.5103 0 41 NA
## 251 3 -638.6315 0 42 NA
## 252 3 -638.9839 0 43 NA
## 253 3 -638.9085 0 44 NA
## 254 3 -638.9168 0 45 NA
## 255 3 -638.6668 0 46 NA
## 256 3 -638.4240 0 47 NA
## 257 3 -638.4307 0 48 NA
## 258 3 -638.5239 0 49 NA
## 259 3 -638.4979 0 50 NA
## 260 3 NA NA 51 NA
## 261 3 -637.5708 0 1 NA
## 262 3 -639.4011 0 2 NA
## 263 3 -639.8556 0 3 NA
## 264 3 -639.4357 0 4 NA
## 265 3 -639.7430 0 5 NA
## 266 3 -639.6957 0 6 NA
## 267 3 -639.1960 0 7 NA
## 268 3 -639.1723 0 8 NA
## 269 3 -638.6593 0 9 NA
## 270 3 -638.8598 0 10 NA
## 271 3 -638.8954 0 11 NA
## 272 3 -639.0525 0 12 NA
## 273 3 -638.5092 0 13 NA
## 274 3 -638.4037 0 14 NA
## 275 3 -638.3426 0 15 NA
## 276 3 -638.5225 0 16 NA
## 277 3 -637.8724 0 17 NA
## 278 3 -637.8011 0 18 NA
## 279 3 -638.0430 0 19 NA
## 280 3 -637.7951 0 20 NA
## 281 3 -637.2019 0 21 NA
## 282 3 -637.2272 0 22 NA
## 283 3 -637.1567 0 23 NA
## 284 3 -637.4081 0 24 NA
## 285 3 -637.3603 0 25 NA
## 286 3 -637.2096 0 26 NA
## 287 3 -637.1132 0 27 NA
## 288 3 -637.0952 0 28 NA
## 289 3 -636.7923 0 29 NA
## 290 3 -636.6864 0 30 NA
## 291 3 -636.7796 0 31 NA
## 292 3 -636.8910 0 32 NA
## 293 3 -636.6588 0 33 NA
## 294 3 -636.6745 0 34 NA
## 295 3 -636.4820 0 35 NA
## 296 3 -636.5637 0 36 NA
## 297 3 -636.2838 0 37 NA
## 298 3 -636.4089 0 38 NA
## 299 3 -635.8133 0 39 NA
## 300 3 -635.9247 0 40 NA
## 301 3 -636.2726 0 41 NA
## 302 3 -636.2320 0 42 NA
## 303 3 -635.7753 0 43 NA
## 304 3 -635.9619 0 44 NA
## 305 3 -635.5923 0 45 NA
## 306 3 -635.5323 0 46 NA
## 307 3 -635.6973 0 47 NA
## 308 3 -635.4521 0 48 NA
## 309 3 -635.5318 0 49 NA
## 310 3 -635.6534 0 50 NA
## 311 3 NA NA 51 NA
## 312 3 -632.1417 NA NA 0.008751516
## 313 4 NA NA NA NA
## 314 4 -1179.8946 0 1 NA
## 315 4 -739.5839 0 2 NA
## 316 4 -668.3622 0 3 NA
## 317 4 -648.6909 0 4 NA
## 318 4 -642.1641 0 5 NA
## 319 4 -638.7024 0 6 NA
## 320 4 -637.4979 0 7 NA
## 321 4 -636.9886 0 8 NA
## 322 4 -636.7697 0 9 NA
## 323 4 -636.6049 0 10 NA
## 324 4 -635.8895 0 11 NA
## 325 4 -635.6792 0 12 NA
## 326 4 -635.6894 0 13 NA
## 327 4 -635.5407 0 14 NA
## 328 4 -635.3746 0 15 NA
## 329 4 -635.2117 0 16 NA
## 330 4 -635.3332 0 17 NA
## 331 4 -635.3787 0 18 NA
## 332 4 -634.9739 0 19 NA
## 333 4 -634.7160 0 20 NA
## 334 4 -634.7942 0 21 NA
## 335 4 -634.5692 0 22 NA
## 336 4 -634.7767 0 23 NA
## 337 4 -634.2871 0 24 NA
## 338 4 -634.7026 0 25 NA
## 339 4 -634.2928 0 26 NA
## 340 4 -634.3055 0 27 NA
## 341 4 -634.2439 0 28 NA
## 342 4 -634.3218 0 29 NA
## 343 4 -634.2362 0 30 NA
## 344 4 -634.2704 0 31 NA
## 345 4 -634.0284 0 32 NA
## 346 4 -633.6148 0 33 NA
## 347 4 -633.2397 0 34 NA
## 348 4 -633.9135 0 35 NA
## 349 4 -633.7079 0 36 NA
## 350 4 -633.4811 0 37 NA
## 351 4 -633.5879 0 38 NA
## 352 4 -632.9831 0 39 NA
## 353 4 -633.1551 0 40 NA
## 354 4 -633.0951 0 41 NA
## 355 4 -633.2395 0 42 NA
## 356 4 -632.8141 0 43 NA
## 357 4 -633.1675 0 44 NA
## 358 4 -632.7188 0 45 NA
## 359 4 -633.0261 0 46 NA
## 360 4 -633.0330 0 47 NA
## 361 4 -633.0254 0 48 NA
## 362 4 -633.0247 0 49 NA
## 363 4 -633.3054 0 50 NA
## 364 4 NA NA 51 NA
## 365 4 -632.6627 0 1 NA
## 366 4 -634.0809 0 2 NA
## 367 4 -634.4012 0 3 NA
## 368 4 -634.3444 0 4 NA
## 369 4 -634.4327 0 5 NA
## 370 4 -634.3379 0 6 NA
## 371 4 -634.1364 0 7 NA
## 372 4 -633.7371 0 8 NA
## 373 4 -633.8717 0 9 NA
## 374 4 -633.7098 0 10 NA
## 375 4 -633.5151 0 11 NA
## 376 4 -633.6103 0 12 NA
## 377 4 -633.8202 0 13 NA
## 378 4 -633.6261 0 14 NA
## 379 4 -633.3378 0 15 NA
## 380 4 -633.0558 0 16 NA
## 381 4 -633.1985 0 17 NA
## 382 4 -633.1613 0 18 NA
## 383 4 -633.4912 0 19 NA
## 384 4 -633.0181 0 20 NA
## 385 4 -632.9328 0 21 NA
## 386 4 -632.8577 0 22 NA
## 387 4 -632.8367 0 23 NA
## 388 4 -632.6562 0 24 NA
## 389 4 -632.8534 0 25 NA
## 390 4 -632.5116 0 26 NA
## 391 4 -632.5628 0 27 NA
## 392 4 -632.4185 0 28 NA
## 393 4 -632.3740 0 29 NA
## 394 4 -632.5860 0 30 NA
## 395 4 -632.2846 0 31 NA
## 396 4 -632.6200 0 32 NA
## 397 4 -632.3873 0 33 NA
## 398 4 -632.7004 0 34 NA
## 399 4 -632.3520 0 35 NA
## 400 4 -632.1536 0 36 NA
## 401 4 -632.2774 0 37 NA
## 402 4 -632.3403 0 38 NA
## 403 4 -632.5613 0 39 NA
## 404 4 -632.3375 0 40 NA
## 405 4 -632.1665 0 41 NA
## 406 4 -632.1223 0 42 NA
## 407 4 -631.8314 0 43 NA
## 408 4 -632.1058 0 44 NA
## 409 4 -631.9363 0 45 NA
## 410 4 -631.9950 0 46 NA
## 411 4 -631.5105 0 47 NA
## 412 4 -631.4397 0 48 NA
## 413 4 -631.6235 0 49 NA
## 414 4 -631.5627 0 50 NA
## 415 4 NA NA 51 NA
## 416 4 -627.8297 NA NA 0.006312754
## 417 5 NA NA NA NA
## 418 5 -Inf 5 1 NA
## 419 5 -1292.5732 0 2 NA
## 420 5 -1136.2757 0 3 NA
## 421 5 -948.1627 0 4 NA
## 422 5 -790.1307 0 5 NA
## 423 5 -718.1692 0 6 NA
## 424 5 -685.0415 0 7 NA
## 425 5 -676.8511 0 8 NA
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## [ reached getOption("max.print") -- omitted 49298 rows ]Analyze output
library(GGally)##
## Attaching package: 'GGally'## The following object is masked from 'package:dplyr':
##
## nasashared_params_plot1 = function(data, ..., ll= TRUE){
if(missing(..1)){
ae = aes(color=msg)
} else{
ae = aes(...)
}
cols = c("E_0", "z_0","R_0", "p_S", "p_H_cond_S","gamma", "b_a",
"b_q", "b_p","sigma_M")
collabs = c("E_0", "z_0","R_0", "p_S", "p_H_cond_S", "gamma", "b_a",
"b_q","b_p", "sigma_M")
if(ll) {
cols = c(cols, "loglik")
collabs = c(collabs, "log(L)")
}
data %>%
ggpairs(mapping = ae, upper = NULL, legend = 1,
lower = list(continuous=wrap("points", alpha = 0.5, size = 0.2)),
diag = list(continuous = wrap("densityDiag", alpha = 0.5)),
columns = cols, columLabels = collabs, labeller = "label_parsed") +
theme(legend.position = "bottom", axis.text.x=element_text(angle = -90))
}Plot shared parameters
load(file = paste0("../Generated_Data/Profiles/",
model_name,"_Model/","Grid_Search_MIF_run_1/",
model_name,
"_Grid_Search_MIF_run_1_combined_data_subset_including_traces_and_start.RData"))
head(mif_sim_combined_output_with_traces_df)## M_0 V_0 K_0 R_0 b_q b_a b_p p_S p_H_cond_S phi_E
## 1 5 13 14 4.859662 0.9844087 0 0.08180860 0.6998554 0.2506138 1.09
## 2 5 13 14 4.859662 0.9844087 0 0.08180860 0.6998554 0.2506138 1.09
## 3 5 13 14 4.395820 0.9836065 0 0.08705565 0.6904633 0.2008668 1.09
## 4 5 13 14 2.812322 0.9851274 0 0.08824451 0.6406783 0.1706101 1.09
## 5 5 13 14 1.864860 0.9794052 0 0.08312240 0.6331514 0.1780455 1.09
## 6 5 13 14 1.431435 0.9803407 0 0.08275913 0.6315043 0.1467934 1.09
## phi_U phi_S h_V gamma N_0 E_0 z_0 C_0
## 1 1.09 0.2 0.125 0.9736223 8e+06 11608.75 19477.99 0
## 2 1.09 0.2 0.125 0.9736223 8e+06 11608.75 19477.99 0
## 3 1.09 0.2 0.125 0.9106629 8e+06 11602.11 19806.86 0
## 4 1.09 0.2 0.125 0.8051304 8e+06 11595.47 19966.52 0
## 5 1.09 0.2 0.125 1.3655953 8e+06 11785.60 19697.88 0
## 6 1.09 0.2 0.125 1.2654872 8e+06 11860.15 19943.00 0
## social_distancing_start_time quarantine_start_time PCR_sens sigma_M
## 1 17 22 0.9 0.2859026
## 2 17 22 0.9 0.2859026
## 3 17 22 0.9 1.0274875
## 4 17 22 0.9 1.1091321
## 5 17 22 0.9 1.0561899
## 6 17 22 0.9 0.9800860
## beta_w_3 beta_w_2 beta_w_1 beta_w_0 g_0 g_F sigma_epsilon
## 1 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 2 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 3 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 4 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 5 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 6 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## G_w_y_scaling msg iter_num param_index loglik nfail trace_num
## 1 0.162 start 3 1 NA NA NA
## 2 0.162 first_trace 3 1 -814.9490 0 1
## 3 0.162 first_trace 3 1 -741.9690 0 2
## 4 0.162 first_trace 3 1 -737.5145 0 3
## 5 0.162 first_trace 3 1 -730.2055 0 4
## 6 0.162 first_trace 3 1 -729.4946 0 5
## loglist.se
## 1 NA
## 2 NA
## 3 NA
## 4 NA
## 5 NA
## 6 NAload(file = paste0("../Generated_Data/Profiles/", model_name,"_Model/","Grid_Search_MIF_run_1/",
model_name, "_Grid_Search_MIF_run_1_combined_data.RData"))
head(mif_sim_combined_output_df)## M_0 V_0 K_0 R_0 b_q b_a b_p p_S p_H_cond_S phi_E
## 1 5 13 14 4.641846 0.4672541 0 0.19646233 0.6050191 0.18013672 1.09
## 2 5 13 14 3.847514 0.1403021 0 0.55387122 0.7392072 0.12762874 1.09
## 3 5 13 14 6.006102 0.4982772 0 0.96044119 0.9978643 0.26705789 1.09
## 4 5 13 14 2.513932 0.1545464 0 0.95499913 0.9950829 0.14807095 1.09
## 5 5 13 14 4.859662 0.9844087 0 0.08180860 0.6998554 0.25061380 1.09
## 6 5 13 14 2.119206 0.2605489 0 0.07577695 0.8377674 0.02104889 1.09
## phi_U phi_S h_V gamma N_0 E_0 z_0 C_0
## 1 1.09 0.2 0.125 0.9230750 8e+06 7627.312 9616.017 0
## 2 1.09 0.2 0.125 5.7487067 8e+06 10778.515 3960.645 0
## 3 1.09 0.2 0.125 0.9937245 8e+06 12806.292 2999.699 0
## 4 1.09 0.2 0.125 4.0707416 8e+06 10329.823 2025.053 0
## 5 1.09 0.2 0.125 0.9736223 8e+06 11608.754 19477.995 0
## 6 1.09 0.2 0.125 3.8685472 8e+06 14438.591 19575.779 0
## social_distancing_start_time quarantine_start_time PCR_sens sigma_M
## 1 17 22 0.9 0.1171019
## 2 17 22 0.9 0.2804925
## 3 17 22 0.9 0.2879780
## 4 17 22 0.9 0.2794379
## 5 17 22 0.9 0.2859026
## 6 17 22 0.9 0.3097214
## beta_w_3 beta_w_2 beta_w_1 beta_w_0 g_0 g_F sigma_epsilon
## 1 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 2 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 3 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 4 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 5 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 6 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## G_w_y_scaling msg iter_num param_index loglik nfail trace_num
## 1 0.162 start 1 1 NA NA NA
## 2 0.162 mif1 1 1 -630.1761 NA NA
## 3 0.162 start 2 1 NA NA NA
## 4 0.162 mif1 2 1 -629.6991 NA NA
## 5 0.162 start 3 1 NA NA NA
## 6 0.162 mif1 3 1 -642.2807 NA NA
## loglist.se
## 1 NA
## 2 0.010474419
## 3 NA
## 4 0.005902888
## 5 NA
## 6 0.022995809top_2_LL_params = mif_sim_combined_output_df %>%
mutate(loglik = loglik-max(loglik, na.rm = TRUE)) %>%
filter(is.na(loglik) | loglik>-2)
top_2_LL_params = top_2_LL_params %>%
filter(msg == "mif1" || msg == "start")
mif_1_result_plot = top_2_LL_params%>%
shared_params_plot1()## Warning in warn_if_args_exist(list(...)): Extra arguments: 'columLabels'
## are being ignored. If these are meant to be aesthetics, submit them
## using the 'mapping' variable within ggpairs with ggplot2::aes or
## ggplot2::aes_string.png("../Figures/Profiles/N_13_Model/MIF_Run_1/MIF_Run_1_Histogram_Result_Plot.png")
print(mif_1_result_plot)## Warning: Removed 25000 rows containing missing values (geom_point).## Warning: Removed 25000 rows containing missing values (geom_point).
## Warning: Removed 25000 rows containing missing values (geom_point).
## Warning: Removed 25000 rows containing missing values (geom_point).
## Warning: Removed 25000 rows containing missing values (geom_point).
## Warning: Removed 25000 rows containing missing values (geom_point).
## Warning: Removed 25000 rows containing missing values (geom_point).
## Warning: Removed 25000 rows containing missing values (geom_point).
## Warning: Removed 25000 rows containing missing values (geom_point).
## Warning: Removed 25000 rows containing missing values (geom_point).## Warning: Removed 25000 rows containing non-finite values (stat_density).dev.off()## quartz_off_screen
## 2Analyze R_0 values
top_2_LL_end_params = top_2_LL_params %>%
filter(msg == "mif1")
top_2_LL_end_params$R_0## [1] 3.679313 4.767478 4.049382 4.722008 4.750832 5.903585
## [7] 5.176819 4.706949 3.946800 5.200837 3.049157 2.939156
## [13] 3.362821 5.689967 3.723868 3.789466 5.098675 2.965193
## [19] 3.244824 4.416900 4.286975 2.871909 5.457449 4.697648
## [25] 4.585235 5.955063 3.784129 5.089871 5.558632 3.576200
## [31] 6.037639 6.077972 4.048083 4.899216 4.623067 4.458443
## [37] 3.653703 4.165174 4.738477 5.576853 5.310007 4.739853
## [43] 4.144806 4.659356 5.393638 2.991345 5.315529 4.225874
## [49] 6.143092 4.450106 5.475345 4.641560 3.247854 3.975879
## [55] 4.881721 4.739879 5.368828 5.359833 3.113459 4.821033
## [61] 6.244380 4.278213 9.751151 3.346840 4.617339 4.457747
## [67] 5.010376 5.445015 2.843466 5.771571 5.173352 3.823092
## [73] 5.253901 6.792024 4.312974 5.451339 5.309334 2.855187
## [79] 6.310615 5.798128 6.079440 4.899426 2.924513 4.943330
## [85] 4.690222 3.232850 5.133095 5.132073 3.515265 3.053910
## [91] 4.850076 4.543624 3.264469 5.541706 5.372972 4.640036
## [97] 4.948546 3.801518 7.038843 6.109803 4.424020 5.288151
## [103] 4.296313 4.959234 4.531997 4.162107 4.216510 4.221860
## [109] 3.998299 5.769558 3.479139 5.573210 5.770825 3.152691
## [115] 5.239330 4.013538 5.033973 5.472300 4.033615 3.114586
## [121] 5.001624 4.640390 3.427234 3.872137 4.852129 3.726229
## [127] 5.121885 5.554781 4.633091 5.868796 4.431060 5.531677
## [133] 5.291045 3.538923 4.575607 6.023698 2.947636 5.083240
## [139] 5.753637 3.295198 3.889299 4.124847 9.271437 3.019886
## [145] 3.259235 4.425520 3.000141 6.340357 4.887042 3.928847
## [151] 3.865410 8.197447 3.856813 4.166068 5.734583 4.891873
## [157] 4.876070 4.786671 5.119991 5.436930 3.947063 4.445204
## [163] 5.219839 4.450066 5.052083 3.242407 4.109448 5.107753
## [169] 4.598922 4.348811 3.759801 4.845279 3.687642 5.973946
## [175] 5.146209 4.907739 2.969841 2.775389 4.995524 5.339745
## [181] 4.753621 2.960721 4.525880 5.210988 5.654084 3.756264
## [187] 4.559116 2.937946 4.415845 5.404830 6.243365 2.868991
## [193] 2.966996 4.852230 4.234846 7.908061 5.484908 4.119314
## [199] 5.426268 5.163594 3.502733 5.751079 5.267078 2.931478
## [205] 2.848098 3.655397 7.940889 2.956533 6.064793 4.813784
## [211] 3.750297 5.234670 5.456907 5.345897 2.741776 3.873559
## [217] 3.239636 5.869276 4.798902 3.153059 4.607126 6.320885
## [223] 5.448093 3.235238 5.183825 6.820354 6.764349 2.724716
## [229] 5.684437 4.184266 5.439034 4.226101 4.238135 4.440313
## [235] 3.515516 3.067072 3.172658 3.846276 5.177818 5.091079
## [241] 5.498684 4.021968 4.952305 4.357056 4.727505 5.425793
## [247] 6.477128 5.441556 4.409576 4.271363 3.973016 4.502264
## [253] 8.192864 5.883043 5.140562 5.638079 5.898866 4.438213
## [259] 4.261545 9.802392 4.758625 5.273855 4.827777 3.683331
## [265] 5.307566 4.202381 6.413358 4.400670 4.185141 3.480666
## [271] 4.795165 4.932857 6.126148 5.699492 4.492147 6.316753
## [277] 4.534400 4.923264 4.298997 5.049341 2.914671 4.101217
## [283] 4.029274 4.229106 3.345498 4.827904 5.840765 5.872990
## [289] 4.380633 4.649819 3.246890 5.272050 3.488921 3.033778
## [295] 6.502098 4.921727 3.788542 4.141402 5.686781 6.125314
## [301] 4.740932 5.302908 5.352952 4.347740 5.139747 4.986899
## [307] 5.235646 5.860316 4.572926 4.516206 4.032657 5.214793
## [313] 5.032570 7.692772 4.343641 8.454896 5.104608 6.063335
## [319] 4.401573 4.791279 4.121170 2.975227 3.155565 4.506555
## [325] 4.301009 4.959376 4.563114 3.651130 4.908451 3.374383
## [331] 4.792352 6.321215 4.947423 4.617448 4.617532 4.573862
## [337] 6.709754 4.842337 5.643152 3.848833 3.471573 5.064411
## [343] 4.054611 4.637022 5.071895 3.779510 3.205908 2.844949
## [349] 4.342522 5.518750 5.241106 2.996555 2.730028 4.952700
## [355] 5.425998 4.388234 6.775777 3.187875 4.873762 3.168361
## [361] 3.472855 5.429114 3.166959 2.873745 3.426638 2.649640
## [367] 4.958980 3.956745 11.198584 5.068661 5.543037 4.860717
## [373] 3.160573 6.248113 4.336528 5.753525 5.485641 4.932002
## [379] 5.826476 6.525540 7.498319 4.563265 6.712238 5.964685
## [385] 5.444690 3.573909 6.333632 5.902271 3.402154 4.083500
## [391] 9.668774 5.107890 6.294086 4.755697 4.243709 3.490847
## [397] 3.369867 4.772850 5.423247 4.449814 6.407919 5.385850
## [403] 5.630056 3.499391 4.335923 4.998851 5.062910 5.837191
## [409] 5.124504 3.836644 5.099056 5.084671 4.228621 3.047077
## [415] 8.044078 7.575909 4.949440 4.377128 3.391295 5.284551
## [421] 4.822278 2.742866 9.998662 3.172654 4.226505 3.510021
## [427] 2.958282 3.820830 6.046309 5.692951 4.723088 3.860259
## [433] 5.164360 3.866577 5.793812 5.823312 4.293524 4.799901
## [439] 4.705848 6.843524 5.224848 5.730729 6.027227 5.550287
## [445] 5.201457 4.582269 4.341531 5.920205 5.876940 9.784039
## [451] 2.819017 5.986313 4.625099 3.092254 4.772554 2.736037
## [457] 4.879117 2.974311 6.566121 5.792668 4.903674 5.356517
## [463] 5.375689 3.691152 5.265251 2.977871 5.264003 3.219574
## [469] 8.688289 6.284602 7.671287 2.777853 6.036103 5.799073
## [475] 5.575491 5.584957 3.647083 6.392412 4.240375 5.589073
## [481] 5.214548 4.855923 5.661380 6.347854 3.095680 4.561588
## [487] 5.315868 2.897550 2.898548 4.281830 4.298247 4.588548
## [493] 5.397858 4.057429 5.188553 5.730587 5.751502 6.206685
## [499] 4.756261 4.807885 5.172417 5.413586 7.077599 6.331860
## [505] 3.591996 4.921672 3.888172 6.019683 6.003836 5.571662
## [511] 3.962329 6.364438 4.347497 3.940812 5.090443 4.497254
## [517] 5.420480 4.387397 3.097350 3.580064 4.545561 4.060783
## [523] 6.512211 3.655540 4.166314 3.837179 7.107419 3.162475
## [529] 6.304584 4.980019 4.137981 4.088531 5.676136 4.963371
## [535] 5.754465 3.777155 3.407261 5.289058 5.118030 4.132859
## [541] 5.503002 4.999470 4.135151 6.477997 3.793243 5.411619
## [547] 4.721189 4.410634 4.244830 5.763090 4.875312 4.793169
## [553] 6.134613 5.866687 3.565854 3.041470 6.019615 5.689901
## [559] 3.644037 4.661991 3.889802 4.969407 4.714033 2.951336
## [565] 5.178106 5.525935 3.563716 7.827351 4.795418 3.184340
## [571] 5.584861 5.248262 5.066404 4.196819 6.795297 4.762132
## [577] 4.580886 4.378435 3.055284 3.103037 4.619206 4.878429
## [583] 4.139506 4.636731 4.712380 4.808005 5.702918 3.006048
## [589] 5.558490 5.709010 6.278478 5.605467 4.458017 5.012905
## [595] 4.251785 6.503717 6.258899 4.353513 4.985831 3.151581
## [601] 5.416902 4.109164 4.811114 3.713625 2.792490 4.610460
## [607] 4.377711 4.027632 8.104963 5.325918 5.853861 5.727500
## [613] 2.789599 3.493219 4.993128 4.938658 3.471624 5.228500
## [619] 5.110305 3.809819 3.732420 4.314053 4.970073 3.038396
## [625] 6.228136 3.896203 3.456513 5.442679 5.805017 5.583202
## [631] 4.651675 5.293484 2.894368 5.263344 5.050529 5.376339
## [637] 3.133415 2.651460 7.719966 8.695363 5.560914 4.498619
## [643] 5.207777 5.468682 7.911614 6.865597 2.852751 5.475922
## [649] 3.873089 3.957645 3.399548 5.107491 4.678647 5.398087
## [655] 6.935208 4.620534 3.289012 6.353206 4.077456 4.892976
## [661] 5.621405 5.909290 2.977024 4.948076 6.620664 7.074693
## [667] 7.958059 4.584697 5.253873 3.571399 3.805888 4.464659
## [673] 3.314097 4.828380 3.196348 5.535094 5.291725 3.628091
## [679] 5.050577 7.269597 4.771356 5.419186 5.415480 3.942205
## [685] 3.342813 6.257959 3.313360 4.558103 2.605931 5.438423
## [691] 6.156205 4.943640 4.488366 5.686394 6.070489 5.080878
## [697] 7.474542 3.788694 4.848901 2.878457 3.131586 3.241287
## [703] 5.621622 5.040745 6.026632 5.445511 7.913970 4.173983
## [709] 4.930855 4.588499 6.071806 6.868865 5.098879 5.239263
## [715] 3.716462 4.611138 3.177037 3.415701 3.035514 5.524120
## [721] 2.925571 3.857658 4.032445 5.270973 4.057057 4.476616
## [727] 5.216423 4.614175 4.080588 4.036172 4.126377 4.927811
## [733] 5.679956 5.471938 6.322208 5.812974 2.825943 5.457959
## [739] 4.277649 4.914075 3.408684 3.894233 6.805764 5.053373
## [745] 5.123149 4.412738 5.551234 5.445702 3.139971 5.450779
## [751] 5.538168 3.902500 5.235987 5.552260 4.985162 3.549959
## [757] 4.630866 4.921688 4.183649 4.245260 4.398143 3.738173
## [763] 2.751462 4.861641 5.549393 5.346230 4.302844 3.784962
## [769] 3.361936 3.628214 5.725689 4.719793 10.976552 4.776003
## [775] 4.609325 5.271104 5.045366 3.506713 6.697847 5.603714
## [781] 3.898087 3.474429 4.988841 3.758799 6.014632 3.287106
## [787] 4.892553 3.902716 5.603164 3.898759 3.631594 3.734122
## [793] 3.756034 3.139666 3.641124 5.111154 4.386468 5.664401
## [799] 4.749367 5.527163 3.558620 4.118072 5.177564 5.403199
## [805] 5.916566 3.799470 4.653455 4.391878 4.796194 2.807077
## [811] 5.162803 6.251723 4.682541 4.919014 4.895193 3.356051
## [817] 4.436185 5.130196 2.954164 4.488475 3.194448 5.460306
## [823] 4.706770 6.383453 4.787076 5.942902 3.595726 5.053006
## [829] 4.900748 7.839894 3.844599 2.751340 5.423966 4.295158
## [835] 4.609702 4.654302 4.165744 6.432649 5.868007 5.893970
## [841] 4.060540 6.688662 3.573203 4.436437 4.133428 4.998339
## [847] 6.027218 5.348506 4.917155 4.619793 4.438030 4.670287
## [853] 4.754679 4.220333 3.078255 3.047004 3.030334 5.977296
## [859] 5.145716 5.216268 5.122072 5.050313 4.327198 6.621240
## [865] 6.395334 4.494793 5.083451 5.411594 4.854766 5.299918
## [871] 3.732312 3.411120 2.972019 5.616017 5.874258 6.298350
## [877] 3.614259 5.124526 4.050456 4.546003 3.301046 4.773671
## [883] 8.617596 5.400605 5.880461 5.284086 5.456659 4.236676
## [889] 5.513543 5.748037 5.845331 5.080639 3.397809 5.598784
## [895] 4.599174 5.146233 5.890240 5.460518 2.991023 4.800925
## [901] 6.273380 4.836186 6.389591 6.079346 6.435941 5.226177
## [907] 5.999922 5.546468 5.388458 4.385726 5.577619 4.294231
## [913] 4.171666 3.637247 3.219538 3.386745 3.606575 3.278514
## [919] 4.377458 5.110530 5.821696 5.070485 5.683285 4.969636
## [925] 3.457195 5.725274 2.894796 2.977862 4.518220 6.198678
## [931] 3.432611 3.703575 6.090134 10.054005 4.673132 2.910017
## [937] 5.590084 4.111423 3.810304 5.228753 3.595884 5.748100
## [943] 3.289506 2.938400 5.065622 4.130990 4.842647 4.640098
## [949] 6.191369 5.276383 2.916453 3.077904 4.532386 5.788471
## [955] 3.274203 3.013976 3.242819 3.534077 4.452149 3.546108
## [961] 3.238054 6.103833 4.857612 5.490084 2.940108 3.016277
## [967] 5.348707 4.457608 6.402923 3.380577 4.190340 6.073187
## [973] 5.366909 3.968270 4.574740 3.755307 5.306789 2.870863
## [979] 5.578195 6.370582 3.908993 2.671955 6.807234 6.764822
## [985] 3.635366 6.270706 3.081976 4.833116 5.781846 5.049822
## [991] 4.444125 8.240380 4.752842 5.305445 5.016145 5.525463
## [997] 5.650349 4.472256 4.481038 2.864188 4.971476 3.851505
## [1003] 3.654270 2.919075 4.517723 5.647783 4.249567 3.646351
## [1009] 3.412277 5.522298 2.941541 5.544378 4.009344 7.100249
## [1015] 6.434525 4.527478 5.162197 3.158921 4.170115 3.053571
## [1021] 4.969723 4.724567 4.182856 3.647176 2.771013 5.328697
## [1027] 5.442419 6.141308 3.993510 5.361679 5.859191 5.101421
## [1033] 5.234671 4.726467 3.041750 5.380798 6.472970 4.619492
## [1039] 5.541597 3.911819 2.873927 3.840806 5.320669 5.151503
## [1045] 5.921997 5.448499 5.519283 4.456189 5.317362 3.006738
## [1051] 5.169768 5.296053 6.377105 3.042818 4.503266 5.669040
## [1057] 2.888179 5.497614 5.073337 2.603466 5.147011 4.849875
## [1063] 4.258210 4.638517 5.270513 2.823769 5.429074 5.880006
## [1069] 5.224466 4.678133 6.078210 3.737755 5.526827 4.575305
## [1075] 5.606010 3.036665 6.244928 3.644350 10.535141 2.782132
## [1081] 2.838007 4.548252 4.942725 4.501884 3.768957 4.337869
## [1087] 5.105911 5.557601 4.087256 5.311869 4.108902 4.430653
## [1093] 5.927729 3.142983 5.516919 5.975491 3.005637 4.832956
## [1099] 7.852423 3.426988 5.101984 4.680827 3.113416 6.238377
## [1105] 5.502566 3.908122 2.684104 5.001421 3.099298 4.798570
## [1111] 3.134015 5.853281 3.361007 6.165897 6.894122 4.262993
## [1117] 3.775052 2.824518 3.188579 4.355159 5.185473 2.797957
## [1123] 3.075109 4.622216 2.783577 3.253021 3.288194 5.104520
## [1129] 9.651534 6.188985 6.225907 4.115233 3.783692 5.532361
## [1135] 4.661948 4.913577 3.447617 5.354885 3.160253 6.563731
## [1141] 4.693182 4.908942 4.056068 7.497266 5.547955 4.272694
## [1147] 5.065944 2.846803 2.765597 5.302019 3.971622 4.737567
## [1153] 6.028443 5.312372 4.332681 4.534004 4.721629 5.000810
## [1159] 3.878559 7.685547 4.382303 4.107999 4.906702 2.920244
## [1165] 4.159336 4.837650 5.143078 5.395700 5.685510 4.997692
## [1171] 4.630877 5.787200 4.167411 5.095416 3.226102 4.389668
## [1177] 5.395552 3.765459 5.634123 6.275884 5.588410 6.259226
## [1183] 3.852071 4.420375 3.278325 4.501052 3.948420 4.338516
## [1189] 3.764569 5.343000 4.334210 5.319161 5.466313 4.309276
## [1195] 4.832525 3.865599 3.209571 3.219318 7.017945 3.262612
## [1201] 4.468773 7.133924 2.700126 4.942723 5.791756 2.972607
## [1207] 5.124190 5.927931 4.784067 4.604898 5.870554 4.856889
## [1213] 6.815254 2.482042 4.228856 6.553288 3.321045 4.057883
## [1219] 4.404780 4.606298 4.633589 5.477083 3.251990 6.298986
## [1225] 6.397019 4.984944 5.244412 5.898854 4.858802 5.170384
## [1231] 2.881898 2.704957 4.796862 6.281435 5.118643 3.843756
## [1237] 2.686252 4.964744 3.643627 5.170328 2.886988 3.538427
## [1243] 3.005016 4.412979 4.747029 4.453010 4.778393 5.598436
## [1249] 3.839807 3.666311 2.923756 7.375453 4.826008 4.294483
## [1255] 4.303387 2.711771 5.617681 5.218730 5.392647 2.952134
## [1261] 4.667766 5.301609 4.441361 6.116906 4.895248 5.078173
## [1267] 5.144587 4.527983 5.607058 5.050010 3.331662 3.350028
## [1273] 3.883183 4.342350 4.499139 2.925353 4.973937 4.260532
## [1279] 3.097460 5.927406 5.185273 4.496200 7.400172 5.421700
## [1285] 5.727154 4.231068 5.062264 3.030046 5.294500 5.199047
## [1291] 2.669294 5.271738 6.567697 4.912673 3.835116 6.491135
## [1297] 5.462865 3.178008 5.648140 3.239316 4.765269 5.801388
## [1303] 4.888183 5.670688 4.243432 5.332373 4.152797 5.056180
## [1309] 4.824089 4.713453 4.384252 3.249169 5.449366 4.134245
## [1315] 5.046982 4.352417 3.971657 4.557812 5.425038 3.206338
## [1321] 5.755329 4.632918 6.406202 6.573235 5.555075 4.889096
## [1327] 4.533382 6.573153 4.677608 5.277885 3.259083 3.278625
## [1333] 3.992004 5.230045 5.486394 4.365337 4.323899 4.493266
## [1339] 5.472293 4.945495 4.395355 3.789611 3.194687 4.040152
## [1345] 3.814527 3.176583 6.730987 4.711023 2.958140 5.010479
## [1351] 2.958593 5.037560 4.499851 4.697468 7.066907 4.029239
## [1357] 3.112479 3.473662 5.137553 4.909229 3.148598 4.723174
## [1363] 7.572269 4.320795 6.392393 5.208151 5.447878 4.832349
## [1369] 5.912312 3.376090 5.790062 3.492157 4.242488 4.036448
## [1375] 3.284176 5.896204 5.032921 5.760144 3.449460 4.805107
## [1381] 5.112607 3.698283 4.351035 4.232599 5.705458 6.432926
## [1387] 5.546059 9.470291 3.278593 3.484585 3.975163 6.009859
## [1393] 8.159249 4.075912 5.054381 4.834397 5.917799 6.832916
## [1399] 5.725238 4.462897 6.910025 5.807184 2.822436 4.535688
## [1405] 2.747849 3.333112 4.580956 4.557867 5.076677 4.553955
## [1411] 5.929259 4.731255 5.737776 3.667772 4.066680 4.642338
## [1417] 5.509262 6.785343 5.639232 4.334844 4.374324 3.997881
## [1423] 3.499347 3.156098 5.477047 6.005110 3.211457 3.054881
## [1429] 4.168721 4.607273 4.207809 5.081252 4.159242 5.656680
## [1435] 5.448943 4.436549 4.503650 4.930326 2.980384 3.107259
## [1441] 4.477351 5.972707 3.378949 5.677136 3.289314 5.029822
## [1447] 6.069565 4.556430 5.952883 4.478531 5.033390 4.885635
## [1453] 4.102491 6.362526 7.572368 3.228822 5.932873 4.415369
## [1459] 4.779450 3.833663 5.860968 5.269941 5.224898 4.033571
## [1465] 2.940046 6.107510 2.858911 5.144404 4.676280 5.167682
## [1471] 2.576920 5.519890 6.129774 4.146932 5.256502 2.769801
## [1477] 5.013673 4.042100 5.477456 4.376495 3.843092 5.889485
## [1483] 5.708444 5.288928 5.074157 3.032111 5.706295 4.356617
## [1489] 3.669023 3.089513 3.223469 5.914492 5.903038 3.184260
## [1495] 6.666170 3.247824 4.295499 3.505547 5.683366 5.645072
## [1501] 5.138296 5.167240 2.967652 2.970266 3.321972 5.181138
## [1507] 4.996602 2.777327 2.674663 5.910458 4.201572 3.082802
## [1513] 2.712279 4.104840 4.771845 5.323359 5.443659 4.844579
## [1519] 4.355028 5.099379 3.116793 5.672422 4.414656 3.013273
## [1525] 5.784238 5.482220 5.704401 5.275349 4.005182 4.437242
## [1531] 5.233346 5.604181 4.756325 3.184704 4.882746 5.722596
## [1537] 4.884790 6.094475 5.169004 2.987669 4.751486 5.851321
## [1543] 4.105271 4.336932 3.519122 3.245020 5.028171 6.045271
## [1549] 4.854741 3.538905 5.236070 6.161120 4.083729 5.311671
## [1555] 4.605333 4.326620 4.685695 4.837318 5.324190 3.693822
## [1561] 5.755274 2.942046 3.455268 4.063046 5.568343 3.073903
## [1567] 4.597545 5.229872 4.520688 5.920419 4.929340 7.429703
## [1573] 3.346969 5.317358 6.036598 3.818053 4.816264 5.250349
## [1579] 4.826364 4.711855 5.670559 3.566282 5.396628 5.588058
## [1585] 5.534811 5.168693 2.969949 3.109278 5.810744 5.478925
## [1591] 5.738353 4.750447 6.472914 5.323695 3.219376 4.190094
## [1597] 6.967063 5.127470 4.652256 4.759685 3.320816 5.490816
## [1603] 2.946665 7.420058 5.590544 6.339398 5.231898 4.020269
## [1609] 4.324780 3.542965 4.796952 3.521859 4.215359 5.615156
## [1615] 5.529387 4.878619 2.885858 3.888582 5.794901 3.267953
## [1621] 6.025550 4.888317 5.364275 4.326635 4.229481 6.960101
## [1627] 3.460120 4.508516 5.174392 4.826238 5.938618 2.990436
## [1633] 4.521928 4.685463 5.172165 4.842258 3.762840 6.477243
## [1639] 4.561865 4.685938 3.659121 5.736304 2.998690 5.419843
## [1645] 3.944400 6.967593 5.416285 5.540923 3.415568 5.006832
## [1651] 4.648953 2.919765 5.744744 3.337354 5.750973 5.078351
## [1657] 5.062267 2.983061 4.196900 3.553007 4.258149 3.934411
## [1663] 6.497694 5.109535 6.459211 5.219639 5.707487 5.981371
## [1669] 3.693219 4.385823 5.128715 6.420201 4.553499 5.543397
## [1675] 5.513120 4.542330 4.917491 5.535147 6.081764 5.435489
## [1681] 6.305593 5.239806 3.407059 3.453936 4.606610 2.881233
## [1687] 3.220711 3.359587 4.029926 4.622444 4.895393 5.184156
## [1693] 5.916727 3.497768 4.746526 4.865805 4.600382 6.024402
## [1699] 5.043140 3.958420 5.486714 3.945122 6.014828 5.606251
## [1705] 3.301311 5.219505 6.051613 3.280132 4.158928 4.503892
## [1711] 7.066118 6.268038 5.808998 7.250537 4.233630 6.509483
## [1717] 2.863489 4.980261 4.795248 3.500939 4.825190 5.025852
## [1723] 4.558031 4.449653 5.948791 5.207272 7.181633 3.561359
## [1729] 5.912689 3.709130 5.000692 4.438326 3.486962 4.977813
## [1735] 5.596294 5.016987 3.531098 5.569591 5.888020 4.037405
## [1741] 2.817714 2.954498 5.239886 3.150996 4.460714 6.183400
## [1747] 5.539776 4.046492 4.178064 6.626568 3.467828 4.914014
## [1753] 3.161549 6.838221 3.989517 3.185700 4.262701 5.513191
## [1759] 3.309957 3.916281 6.380954 3.531153 3.348181 3.179258
## [1765] 4.491520 4.798473 4.778589 5.884651 4.486997 2.745759
## [1771] 4.146122 5.730191 4.851395 4.636835 8.242188 5.879185
## [1777] 5.375545 7.184791 3.029017 5.070408 2.983754 3.387141
## [1783] 4.799080 4.716830 5.387980 4.760767 5.455742 4.506327
## [1789] 5.397888 4.209459 3.030982 5.527752 4.269284 5.574760
## [1795] 4.043819 3.302674 4.752406 4.830239 5.302575 5.186184
## [1801] 5.679037 3.981821 3.258993 4.078922 3.806429 4.438017
## [1807] 5.731815 4.730548 5.285072 4.526911 5.645066 5.141200
## [1813] 3.306085 3.973152 5.000060 4.492698 4.624829 5.586461
## [1819] 4.439172 3.694778 3.030012 3.675866 3.101616 6.187751
## [1825] 4.304852 3.142618 3.763013 5.229733 4.533564 8.063903
## [1831] 7.487939 5.607157 5.342930 5.457596 4.993023 3.727398
## [1837] 2.703296 5.054934 6.818962 3.656325 4.300052 3.398366
## [1843] 3.608748 4.627545 5.196455 3.843626 4.179319 4.838939
## [1849] 5.707125 8.775370 4.677257 5.159406 6.977981 5.578439
## [1855] 7.482702 3.451681 6.057950 3.150060 8.137585 5.035083
## [1861] 3.993303 3.934410 3.607058 5.748236 3.351397 3.278926
## [1867] 6.634748 4.217808 4.718883 3.717628 4.898237 5.054734
## [1873] 5.902566 4.701922 5.488101 9.091592 5.490717 4.829185
## [1879] 3.528147 4.398787 4.039393 6.442259 2.815397 4.907756
## [1885] 5.169002 3.834864 4.072032 7.691690 5.144014 6.672464
## [1891] 4.569984 4.127356 5.167016 4.757515 3.044811 4.538252
## [1897] 7.993724 3.960234 2.763750 3.321727 6.464631 4.703318
## [1903] 4.479978 5.286885 3.715579 4.046242 4.396524 5.506413
## [1909] 5.937371 4.769160 8.611328 5.606435 4.529340 3.630346
## [1915] 5.183078 3.213267 4.732698 6.557665 5.608841 5.840964
## [1921] 5.716994 3.940083 6.094483 4.991320 5.539742 4.495521
## [1927] 5.802593 5.682134 6.610331 5.270894 4.232690 3.513691
## [1933] 4.960088 4.368024 5.590363 5.111128 5.630533 5.939430
## [1939] 5.613859 6.079570 5.411991 4.508410 5.683798 4.356166
## [1945] 3.140014 5.988512 4.484304 3.326184 4.809627 3.244314
## [1951] 3.487864 4.520372 4.023983 4.960567 5.150893 6.902199
## [1957] 3.832249 5.191998 3.373339 7.193672 5.750938 7.002262
## [1963] 6.249626 6.199410 5.589773 5.513536 5.143640 6.452661
## [1969] 4.502384 4.083700 6.247730 5.332957 5.891397 4.943694
## [1975] 5.232986 5.741766 5.901534 3.849692 4.094049 6.332968
## [1981] 4.215101 4.423564 4.675451 4.340720 5.460771 4.567065
## [1987] 3.173597 3.751308 3.778464 3.925005 4.906169 6.005829
## [1993] 5.542689 4.991202 6.891020 4.760260 4.135384 2.938848
## [1999] 4.559009 5.241527 5.518596 4.989763 5.886036 6.286426
## [2005] 6.568365 4.631376 5.246846 3.054427 2.918751 4.123778
## [2011] 4.990680 4.641868 5.572623 4.437782 3.509842 5.069171
## [2017] 3.949309 3.950618 3.095335 5.073146 5.350854 5.553946
## [2023] 6.115141 3.465695 4.545017 2.971302 5.251523 5.161001
## [2029] 6.612080 4.027547 4.228815 4.452964 4.923443 4.363447
## [2035] 6.287979 4.831601 4.422696 4.654404 6.032741 4.520129
## [2041] 5.769736 4.226901 5.670155 3.158050 4.397569 4.877009
## [2047] 5.521813 3.692749 6.313650 4.532439 4.527493 5.497943
## [2053] 4.530568 3.395856 3.500174 6.069715 4.174028 3.087451
## [2059] 4.813690 4.687887 3.840262 5.041875 4.630912 5.544345
## [2065] 3.911405 3.809546 6.420933 4.956552 6.065997 3.535446
## [2071] 2.989970 5.187528 4.828099 4.498649 3.695181 2.697272
## [2077] 4.973303 5.708182 5.722085 4.189513 5.799617 4.906539
## [2083] 5.613954 4.301527 4.316596 4.930963 5.118992 4.967320
## [2089] 4.845614 6.252757 5.873972 4.822934 3.816034 4.066371
## [2095] 4.857200 3.112994 4.517947 4.981967 3.988568 5.238921
## [2101] 4.559731 5.688650 5.128530 5.824484 3.480121 5.900631
## [2107] 4.342720 3.814257 6.184513 5.304658 3.393981 6.261363
## [2113] 5.034281 4.579863 5.479478 3.770863 4.762897 3.564220
## [2119] 5.395321 3.652632 5.627178 5.731838 3.178727 3.866565
## [2125] 4.471673 3.262742 3.176939 3.952691 4.203136 6.223729
## [2131] 3.867166 4.406962 5.889955 5.189589 3.700869 5.161962
## [2137] 4.256119 3.828792 4.370469 5.136540 2.945604 6.622323
## [2143] 2.967113 4.077781 3.122321 4.115928 4.480965 4.868584
## [2149] 3.295141 3.692549 4.425159 4.213820 3.654566 3.163616
## [2155] 3.671270 2.918671 3.212985 2.836302 3.912642 3.106038
## [2161] 2.893985 3.873566 3.506136 6.275318 3.394727 5.503959
## [2167] 4.757443 5.615018 4.545302 5.531191 4.185552 5.923408
## [2173] 5.653786 5.080720 7.580912 5.293285 9.415721 3.063166
## [2179] 5.398870 4.361411 4.840182 2.402049 4.437077 4.823409
## [2185] 4.368455 4.171995 5.149962 3.119827 2.733970 4.411062
## [2191] 3.513807 5.175248 4.292997 6.323223 5.171140 4.370255
## [2197] 4.166576 5.540309 2.655022 5.671703 4.688058 7.078323
## [2203] 2.729997 5.588006 4.403448 3.289156 2.791474 4.184590
## [2209] 3.046151 5.992490 3.982467 3.488701 5.278850 5.513939
## [2215] 5.758056 5.388226 6.391940 3.204488 4.317798 5.357482
## [2221] 6.871411 4.899968 4.506491 4.701409 6.670423 3.300085
## [2227] 3.913918 6.371267 3.220252 3.229907 5.346060 4.867063
## [2233] 4.919714 5.814192 5.629530 5.440245 2.685116 4.786830
## [2239] 2.927689 2.993772 4.028481 7.222116 4.300997 5.066113
## [2245] 4.578365 4.399171 5.505016 3.124126 3.186430 4.719141
## [2251] 8.682896 5.849085 4.490067 4.823291 3.316856 2.853448
## [2257] 3.909183 2.983761 4.610893 4.534960 6.918278 3.872478
## [2263] 4.675784 6.766452 5.522533 6.182502 2.861631 4.325751
## [2269] 4.986817 2.785460 4.009089 4.681920 3.632908 3.777430
## [2275] 4.914918 5.040264 3.110158 6.492636 5.744320 3.437357
## [2281] 4.910650 5.124051 3.952577 5.748414 2.989143 4.050099
## [2287] 2.849949 9.539387 4.984763 5.284651 3.760223 3.959381
## [2293] 4.051614 4.687275 3.557023 4.047886 5.994344 3.438261
## [2299] 4.867882 5.599091 6.485755 5.386032 2.768536 3.249284
## [2305] 4.958872 3.101999 4.868623 5.878626 3.706344 6.009607
## [2311] 4.438221 4.732892 3.800243 5.121066 4.258423 6.431043
## [2317] 3.801080 3.008739 2.665417 5.851826 6.016880 3.293393
## [2323] 5.085701 4.369038 3.624911 5.209239 3.001277 5.638364
## [2329] 4.796753 5.164228 6.224518 4.331254 4.955372 4.956744
## [2335] 5.383060 6.495786 5.539587 3.172167 9.670627 8.637555
## [2341] 5.987015 5.539424 4.513721 4.701175 5.778438 3.829178
## [2347] 5.614084 4.448297 4.565293 4.933299 3.618080 4.831415
## [2353] 4.880004 5.367433 3.598875 5.356246 5.060076 6.670461
## [2359] 6.472932 7.033509 5.241978 5.971594 4.289615 5.873913
## [2365] 4.925433 3.442109 6.834302 8.716245 3.622126 4.308935
## [2371] 7.212409 4.042303 4.924968 5.421820 5.380819 6.018324
## [2377] 4.462554 2.909172 6.519076 4.684949 7.027856 4.257163
## [2383] 5.682073 2.934077 3.435790 4.961530 5.124889 4.496225
## [2389] 3.974387 4.366298 4.170519 4.154898 5.106835 2.960764
## [2395] 4.245210 4.608524 4.711677 5.307190 4.151400 5.974996
## [2401] 5.319822 4.653049 3.506183 5.863061 6.661215 5.704651
## [2407] 6.286058 5.245555 5.167336 3.794648 3.503794 3.844169
## [2413] 7.514778 5.716067 4.071367 7.318214 3.488178 6.391163
## [2419] 4.177187 2.981395 7.461685 6.453078 5.663089 4.185071
## [2425] 2.761144 2.928836 3.992322 4.739841 4.152274 3.994940
## [2431] 5.670621 6.050457 5.570188 4.533265 6.464644 5.587859
## [2437] 4.913415 4.660319 3.001600 4.646986 2.846985 5.954408
## [2443] 5.100577 5.145634 6.203110 5.335858 5.688105 3.194114
## [2449] 2.982996 5.111787 6.063468 5.951782 4.979502 4.662187
## [2455] 5.215707 4.690083 5.275761 4.052722 5.416999 4.607988
## [2461] 5.253193 5.293295 4.632309 3.988911 5.598438 4.360041
## [2467] 5.640227 4.658935 3.943328 3.095621 4.330439 3.308309
## [2473] 2.820463 6.138682 4.561113 5.562169 3.553123 4.449955
## [2479] 7.505964 3.245844 4.308259 4.383846 3.675023 4.916941
## [2485] 3.568303 5.665593 7.392599 3.785740 6.947618 4.209921
## [2491] 3.481941 5.948111 6.829447 2.805088 5.995030 4.196546
## [2497] 6.639500 5.362400 6.185194 4.106942 5.632646 5.448720
## [2503] 5.188891 5.174052 3.599214 6.120785 4.987531 5.136315
## [2509] 4.458299 3.226198 4.247679 6.673218 6.265608 4.568257
## [2515] 2.731156 5.424293 4.541706 3.465813 5.769631 6.454187
## [2521] 5.064746 4.265103 5.361430 6.204729 3.691156 4.818258
## [2527] 4.857342 4.741587 4.931976 3.338538 3.381728 5.608730
## [2533] 5.726322 3.673865 5.265990 4.480611 4.721677 5.718592
## [2539] 4.490129 2.852162 2.794083 5.071622 4.103969 3.030672
## [2545] 2.831536 5.065319 3.595979 5.752933 5.398545 3.727901
## [2551] 6.154679 4.311039 2.821073 5.841945 2.748608 5.077665
## [2557] 3.954490 5.912045 2.890755 4.937481 4.466451 4.570713
## [2563] 4.640952 5.173229 5.893628 3.081230 3.923186 5.093551
## [2569] 4.846571 4.460954 4.990736 6.338534 4.148542 5.705101
## [2575] 5.559045 3.895801 5.859526 3.442370 5.721059 4.538785
## [2581] 3.606184 4.374119 2.895345 9.244669 4.116612 2.748750
## [2587] 6.693241 4.903370 4.984790 4.358445 5.195096 5.999682
## [2593] 4.257548 4.821365 4.298417 4.232868 3.465887 3.431481
## [2599] 2.998161 3.185226 4.427510 4.398814 4.641286 4.040815
## [2605] 4.508280 5.835520 2.770852 10.466462 5.458837 3.037169
## [2611] 3.193916 2.983112 4.572945 6.503653 3.135176 3.223775
## [2617] 5.311783 7.520214 3.326352 5.136126 5.432660 5.170427
## [2623] 6.337117 4.353190 4.571207 3.753088 2.885022 6.244134
## [2629] 5.208162 5.851068 5.131418 5.771688 5.603292 6.609884
## [2635] 5.473367 3.884183 6.586936 5.782672 5.662491 2.985543
## [2641] 6.924301 4.834087 5.193740 2.986547 5.278966 3.050184
## [2647] 5.207134 2.995734 4.348995 3.519182 5.427971 5.543085
## [2653] 7.386273 4.432074 4.122964 3.442771 4.590385 6.443794
## [2659] 5.246334 4.546337 4.423189 4.583464 3.922702 3.939555
## [2665] 4.281647 4.881563 3.361223 4.190466 5.804274 4.968701
## [2671] 4.095696 4.951578 3.827941 3.043844 5.285158 4.982202
## [2677] 6.561566 6.039943 5.288777 3.716640 4.249025 4.026393
## [2683] 5.437836 5.576661 4.774310 5.986434 4.729025 4.348279
## [2689] 5.164761 3.718977 4.036036 5.001782 3.633019 3.947233
## [2695] 2.944797 4.014719 4.825120 4.106457 4.706429 5.179359
## [2701] 3.381699 3.169512 5.373919 5.883017 2.880428 4.213011
## [2707] 6.084404 2.846152 6.517626 4.711601 5.548639 4.960280
## [2713] 3.052983 6.651965 2.919662 4.752594 4.534147 3.316876
## [2719] 7.017075 2.960039 3.673483 4.622329 5.898752 2.698053
## [2725] 5.503047 5.810421 6.273687 5.543121 5.236750 2.720766
## [2731] 3.260269 3.924833 5.167156 2.753491 4.969915 4.778746
## [2737] 4.238798 4.378884 4.666489 4.186381 2.784518 4.465816
## [2743] 9.012376 4.629655 5.115620 5.099101 2.893392 4.928489
## [2749] 5.439441 5.163566 4.197491 4.859099 4.997611 6.251184
## [2755] 3.042034 4.701663 5.788749 4.355482 5.247226 3.240140
## [2761] 3.629257 4.209199 5.577419 5.708148 4.506850 5.841295
## [2767] 6.057226 4.424753 3.193698 4.616931 3.747664 5.716244
## [2773] 3.643194 4.283873 3.419038 3.614938 5.794107 4.814450
## [2779] 5.363963 3.629492 4.179972 8.465291 5.443025 6.136594
## [2785] 3.367343 4.351494 4.644689 3.845516 3.346218 3.477886
## [2791] 5.877096 6.212996 3.873421 6.432540 4.612661 4.788157
## [2797] 5.878094 4.775118 5.099070 4.871071 5.173363 3.066231
## [2803] 3.496091 6.461988 4.492373 8.727731 5.350994 4.227471
## [2809] 6.250479 4.582745 5.437211 4.058881 4.052275 6.106268
## [2815] 4.050395 3.587772 3.926305 5.099021 4.383298 6.302519
## [2821] 6.015919 3.697540 5.107015 4.845747 4.630281 5.535227
## [2827] 4.862743 3.849085 4.294748 3.824697 3.062103 4.385808
## [2833] 6.931231 4.003979 6.042192 3.414479 5.131383 3.130796
## [2839] 6.378904 4.128299 6.781637 4.469570 4.741035 2.928385
## [2845] 3.182058 4.678161 2.824101 4.983254 4.641650 5.469428
## [2851] 6.533819 5.104936 3.809814 10.077169 7.100330 4.358166
## [2857] 3.476859 4.811665 4.078358 4.561702 3.510435 3.335694
## [2863] 9.839152 5.330903 5.426940 3.928091 6.326160 5.477512
## [2869] 4.108607 4.915966 2.614318 4.895570 3.976359 4.603665
## [2875] 5.615947 5.208831 3.079572 5.697746 5.145267 5.004518
## [2881] 6.571372 6.480655 5.324265 9.651650 4.518112 3.763766
## [2887] 3.195440 4.616619 5.134703 5.614164 3.352255 5.751031
## [2893] 4.816931 5.636438 3.825186 6.285224 2.868438 4.936211
## [2899] 3.035431 3.428079 4.462555 4.538436 4.559591 4.112762
## [2905] 4.487676 3.035412 5.523402 5.307863 4.303160 5.943795
## [2911] 4.094396 3.935253 5.018729 3.901449 7.342644 2.920571
## [2917] 5.153197 2.687939 3.155526 4.253252 4.646635 3.561011
## [2923] 2.888674 4.642031 4.928963 4.011871 5.438252 5.483852
## [2929] 5.540115 5.418484 5.060893 3.101701 4.457970 5.538189
## [2935] 5.008372 4.137440 3.545309 5.041284 4.846792 5.324160
## [2941] 5.442159 4.633708 3.975202 3.662557 7.703947 7.596062
## [2947] 3.488464 5.448375 3.953279 5.270331 5.262286 4.775825
## [2953] 5.875440 3.738136 6.070545 5.777370 6.351781 3.912419
## [2959] 3.316203 5.744467 4.305253 4.042359 5.686139 6.123754
## [2965] 3.029087 5.705400 5.998590 4.483824 4.659477 5.445097
## [2971] 4.861395 4.758569 3.428885 3.884117 4.153188 6.770095
## [2977] 7.086192 3.759997 4.380669 2.962611 4.009615 4.910174
## [2983] 4.877011 2.855109 3.690054 6.865114 5.450716 4.223337
## [2989] 6.354476 3.191328 5.619124 4.495076 4.142730 2.917742
## [2995] 4.176993 4.179720 4.100842 4.489227 4.543799 2.870410
## [3001] 5.501226 6.397600 5.068428 6.242427 4.269588 4.551291
## [3007] 3.187019 3.193805 4.420590 6.082151 4.139980 4.163293
## [3013] 3.024934 6.025882 3.938845 4.818759 3.987730 6.319986
## [3019] 5.657519 3.139821 5.838342 3.291198 5.555481 6.695091
## [3025] 5.140402 5.553058 9.838800 5.208683 4.732209 3.043890
## [3031] 5.133043 4.897927 4.410837 4.598791 2.655455 2.756193
## [3037] 5.278695 2.962458 5.123360 2.859733 5.254104 2.891002
## [3043] 4.896321 4.949983 5.703523 4.934466 4.791106 4.289253
## [3049] 4.638043 3.959545 6.006089 4.091567 3.200051 5.730555
## [3055] 4.851858 5.708922 2.966792 4.254115 4.521968 4.964231
## [3061] 4.192376 6.231145 5.412993 4.675319 5.295188 2.873942
## [3067] 4.740521 2.974222 4.849314 5.072920 4.854698 6.319670
## [3073] 4.085898 4.104683 4.772490 5.646862 4.887444 2.950475
## [3079] 2.746153 4.884163 4.847114 4.323920 4.003825 2.681516
## [3085] 4.349441 3.317668 3.792521 3.842570 6.051048 5.944644
## [3091] 6.373821 5.983462 4.558988 5.203742 4.056213 3.017151
## [3097] 5.157657 4.529003 4.974377 5.621788 5.694933 5.845448
## [3103] 5.170991 4.170328 5.520612 3.888536 4.271124 4.331305
## [3109] 4.352195 3.974455 6.143255 5.469532 4.626080 4.279392
## [3115] 3.296212 5.461034 4.970980 5.874994 4.318083 5.969142
## [3121] 5.649898 5.639549 5.300120 4.068690 4.513875 3.266759
## [3127] 7.173495 4.340805 4.819064 4.819810 4.965650 6.149360
## [3133] 2.849054 4.826264 3.290869 4.116571 3.119986 8.939010
## [3139] 3.378292 5.707571 4.137866 3.263227 5.472381 4.089248
## [3145] 4.142998 8.273890 3.624132 5.066551 3.739630 5.039311
## [3151] 3.030304 3.615287 3.464740 6.034229 4.821246 2.774303
## [3157] 5.108024 5.413026 4.915731 3.560340 3.263216 6.054693
## [3163] 4.887322 3.452457 3.620226 6.097257 5.083730 4.739800
## [3169] 6.556335 4.991760 3.665391 3.049991 5.502004 4.707504
## [3175] 4.991904 4.854952 5.534010 5.414820 5.400019 4.068964
## [3181] 2.953223 4.060841 4.296819 3.071677 2.641217 4.024303
## [3187] 4.143432 5.803134 5.304946 4.313451 3.828635 6.014267
## [3193] 4.908543 5.476636 2.740183 5.068910 3.187000 6.367366
## [3199] 5.716579 5.655487 3.052683 4.031819 6.419286 6.027385
## [3205] 4.313974 4.957355 3.548595 4.890446 3.041641 5.028300
## [3211] 5.345143 4.400894 4.984178 5.753814 3.347552 5.999036
## [3217] 5.985978 5.492062 5.950564 4.230537 3.923472 4.809995
## [3223] 6.120436 5.469618 2.734938 4.539461 6.221242 3.838602
## [3229] 5.743212 3.469955 4.121735 4.707548 5.129229 4.787425
## [3235] 4.355562 5.633737 3.993074 5.198898 4.901363 5.549429
## [3241] 5.162474 5.808789 5.532663 5.023200 5.461951 5.853916
## [3247] 4.589056 5.081322 3.968067 5.773864 5.140425 5.180848
## [3253] 4.241770 2.997568 3.616567 11.104902 4.532707 4.554590
## [3259] 2.949684 5.780946 4.528793 4.345802 4.872458 4.985173
## [3265] 3.281578 4.997336 5.868080 3.921859 3.624194 4.844296
## [3271] 3.980196 3.325279 4.490641 4.932085 5.556529 3.624376
## [3277] 3.567018 3.989433 3.091765 4.709282 4.873816 3.017096
## [3283] 6.238497 5.963073 3.480607 4.957292 4.194134 5.087802
## [3289] 4.059748 5.190651 5.347003 4.634353 2.844533 4.415034
## [3295] 3.652796 4.483870 6.950061 5.853215 6.351115 6.854365
## [3301] 5.079983 7.371279 3.980893 4.708999 4.267316 5.273043
## [3307] 4.566214 4.947188 4.610686 5.391680 4.159770 3.048269
## [3313] 8.418067 4.211725 5.238561 7.016564 4.293215 5.857290
## [3319] 5.777328 3.252636 4.893910 5.332824 4.186364 4.033130
## [3325] 3.877671 6.210914 3.736336 3.853789 2.804198 4.702035
## [3331] 4.901146 4.019801 5.319712 5.700696 4.238509 5.060719
## [3337] 3.661139 5.165499 5.699326 3.815708 4.436631 5.000707
## [3343] 3.754320 5.241775 5.704344 5.092616 5.847975 6.124706
## [3349] 3.035377 5.417947 4.447520 4.000010 6.299753 4.065199
## [3355] 5.384425 4.156135 5.373137 5.418818 5.391927 4.099649
## [3361] 3.167901 6.016562 4.118101 4.112225 5.173953 6.175317
## [3367] 3.880091 5.029117 4.742679 5.934404 7.007147 3.721543
## [3373] 4.568420 4.574333 3.943156 5.246110 5.246100 6.081857
## [3379] 3.312677 3.383690 3.360693 5.712936 4.476547 4.527252
## [3385] 4.148911 4.844120 4.625913 5.556905 3.706791 5.469864
## [3391] 2.837844 6.248984 5.305303 3.455046 4.902813 3.064972
## [3397] 7.199480 4.645581 5.442027 5.173621 6.720261 6.042189
## [3403] 4.672594 4.711455 3.201390 5.011837 4.252331 3.327394
## [3409] 4.472270 4.210028 3.142709 3.336141 2.959364 3.216409
## [3415] 5.022907 7.114032 4.911487 3.210017 5.741785 5.079820
## [3421] 4.060565 5.078343 7.767258 4.663909 5.917290 5.629722
## [3427] 4.701906 2.883740 3.506503 3.237398 5.509170 5.043452
## [3433] 4.694299 3.954771 3.584398 3.605773 3.684623 4.295908
## [3439] 5.776696 5.159684 4.532773 6.372667 9.926263 4.489796
## [3445] 4.534197 3.188411 3.166798 3.227168 4.534125 3.369493
## [3451] 2.999432 4.262337 3.948026 4.585840 5.364262 6.280686
## [3457] 4.862100 2.685831 4.902307 4.585689 2.790821 3.211373
## [3463] 3.183558 3.726920 5.628485 5.199835 4.604743 5.742130
## [3469] 6.603057 5.536773 4.287304 6.807295 4.817724 3.970716
## [3475] 3.323387 5.066932 4.429866 4.858620 5.158046 5.305126
## [3481] 5.015127 3.866870 9.201446 4.608913 5.568521 2.842015
## [3487] 3.986009 2.957918 3.263352 5.274019 4.531729 4.319407
## [3493] 3.182490 3.599977 3.558865 5.648386 4.459286 4.394114
## [3499] 4.979591 5.373809 5.335907 5.726765 4.812393 3.468695
## [3505] 3.559833 5.413753 2.895288 3.889750 3.537541 5.281485
## [3511] 5.180454 4.246845 6.012595 3.839101 5.226345 3.165494
## [3517] 4.260688 5.217125 12.429154 3.556990 5.430807 4.005752
## [3523] 5.537674 4.081979 3.539120 5.118365 5.794528 6.218186
## [3529] 5.223063 5.714286 4.551734 5.530619 4.116344 4.262508
## [3535] 5.219677 2.472264 3.226737 5.584513 7.935440 6.109581
## [3541] 5.478513 3.908274 3.038326 4.623645 4.203532 5.877661
## [3547] 3.550096 3.913761 5.359728 3.724807 5.208887 5.655151
## [3553] 3.141073 5.285420 5.523207 5.127543 5.724402 5.896584
## [3559] 4.124428 4.758647 4.587078 3.279866 4.502735 2.920767
## [3565] 5.837680 2.933961 4.140799 4.002086 3.537434 4.289562
## [3571] 4.061107 5.101848 5.595128 3.481034 5.498122 5.435624
## [3577] 5.065192 4.373397 5.594099 4.623349 6.933003 6.957070
## [3583] 3.748358 7.304236 3.850488 4.507695 4.219326 6.335354
## [3589] 5.527126 6.037529 3.722559 5.947548 4.589679 3.706512
## [3595] 3.114010 4.286734 4.976959 7.354753 4.428026 7.755323
## [3601] 4.498521 4.071109 4.224731 4.169339 4.095964 5.433036
## [3607] 4.048204 2.898335 5.174893 5.493606 4.664539 5.440041
## [3613] 3.957572 2.955872 6.497642 4.244844 5.103178 3.597805
## [3619] 3.353472 5.178322 4.166030 4.527116 4.295290 4.325794
## [3625] 4.878741 4.906954 5.959021 4.824533 5.003992 5.565739
## [3631] 4.634883 6.144435 7.956352 6.450351 4.540171 6.312245
## [3637] 4.665694 5.919491 4.937271 6.767154 4.856357 5.869929
## [3643] 4.107833 5.408685 3.243919 4.008197 3.454457 4.297399
## [3649] 2.950880 4.490566 4.685877 4.416341 4.311548 2.742404
## [3655] 4.273869 5.961865 3.719866 5.589131 3.975575 6.159918
## [3661] 4.865887 5.974414 5.785351 3.903051 5.233250 7.860523
## [3667] 3.531128 4.164857 3.025055 5.103742 7.243833 5.148240
## [3673] 3.948115 7.835378 4.978426 4.510374 5.338782 6.534335
## [3679] 5.692026 4.601105 2.986642 4.755318 5.889477 4.609849
## [3685] 2.789758 5.476485 5.813137 4.712892 4.952264 4.496606
## [3691] 3.314567 3.931309 3.601207 5.076364 4.765549 7.601155
## [3697] 3.263090 4.284319 3.997531 5.884965 5.719509 4.025232
## [3703] 4.970566 3.880810 4.103418 4.010756 3.161488 4.290647
## [3709] 5.095172 5.744432 3.728883 3.768215 8.190864 4.598667
## [3715] 4.058356 3.838228 7.256557 6.185104 4.672014 3.211460
## [3721] 6.871873 4.047135 3.789418 3.481305 4.862931 2.568955
## [3727] 4.969782 6.179274 4.524459 6.317253 6.392842 3.826309
## [3733] 5.647376 3.739507 6.060884 4.118581 6.141528 4.452167
## [3739] 2.733871 6.645647 5.399461 4.984732 5.581639 3.913989
## [3745] 4.905398 4.626206 3.952429 5.279893 7.264334 4.709375
## [3751] 4.760544 4.722536 5.153017 3.233406 4.732716 4.253025
## [3757] 4.176845 2.873974 4.500451 3.356886 6.282649 6.358355
## [3763] 8.932216 5.527708 2.854554 5.973148 4.196781 5.189983
## [3769] 3.954271 4.001699 4.513659 5.424139 3.703436 3.739897
## [3775] 5.047875 6.389540 3.574014 6.482701 6.406979 4.913657
## [3781] 4.959008 6.373302 3.816349 5.286148 4.416005 4.028333
## [3787] 5.504558 3.679129 5.234396 6.747045 3.695137 5.363752
## [3793] 5.204804 5.070215 4.596401 5.830871 5.429657 7.087526
## [3799] 5.592404 5.768061 5.965666 3.927458 3.959143 6.505597
## [3805] 4.915046 2.776195 6.538217 4.887240 2.817167 6.106399
## [3811] 4.465075 3.995638 4.644431 3.466064 4.302181 3.995726
## [3817] 6.635983 8.681779 3.167979 3.926980 3.238942 3.028562
## [3823] 5.382231 2.817204 5.300776 6.581456 5.105911 5.327192
## [3829] 5.223465 4.652146 4.352719 4.455257 4.411508 4.579703
## [3835] 5.687801 5.214339 4.695162 3.441428 4.420966 4.869611
## [3841] 4.993165 5.829160 3.956958 3.221472 4.483175 3.223127
## [3847] 4.512853 4.905698 4.675537 4.830055 4.769328 5.232269
## [3853] 4.514861 4.737638 3.973368 3.246990 4.224726 4.191982
## [3859] 5.183328 3.098142 4.893524 2.634408 4.834424 4.272772
## [3865] 4.500706 4.499992 5.578370 5.859092 4.092968 4.999241
## [3871] 5.358168 4.629529 4.153283 4.929137 3.113230 5.218412
## [3877] 4.333760 5.434913 4.465808 5.805566 4.319279 4.497318
## [3883] 3.631038 3.174620 3.186002 2.798522 3.127492 4.420439
## [3889] 3.212918 4.139082 6.554014 4.711495 5.715104 5.981400
## [3895] 3.953033 3.290659 3.350143 4.593464 5.475725 4.342376
## [3901] 5.415564 2.739270 4.984152 4.042882 5.635323 2.959254
## [3907] 4.979963 5.409793 6.015460 4.118798 5.068459 5.856104
## [3913] 6.508279 3.031507 3.448052 5.153102 4.938503 4.519867
## [3919] 3.039915 3.876392 2.872890 6.674653 4.608410 3.979023
## [3925] 5.897211 3.214028 4.457455 4.000989 3.498507 5.071111
## [3931] 5.025985 2.910950 5.762182 3.881379 4.804306 2.763980
## [3937] 4.956513 5.778765 4.576404 3.919373 3.137455 5.654924
## [3943] 6.127961 5.037564 4.927376 5.122641 6.186036 4.969825
## [3949] 3.700508 6.508954 5.417075 5.886065 3.003675 5.053036
## [3955] 4.263860 4.857911 5.413378 4.016044 6.244669 4.942697
## [3961] 5.825496 4.972444 3.324501 4.769788 4.992819 5.136622
## [3967] 5.501607 3.987051 6.098333 4.702805 5.425859 4.024446
## [3973] 6.388579 5.703068 5.552166 5.066012 5.512580 5.167095
## [3979] 5.217599 3.666915 4.027461 6.493969 5.559748 4.212897
## [3985] 3.204206 5.855826 4.408569 5.808130 4.994976 4.698481
## [3991] 5.148015 4.922851 5.813859 4.849210 4.764587 4.738364
## [3997] 2.710828 7.380091 4.785036 6.080133 3.162568 3.021668
## [4003] 4.716653 4.481519 5.353664 4.813635 5.364304 5.845113
## [4009] 2.982091 5.138320 4.207045 4.837687 3.883481 5.629057
## [4015] 4.534343 5.173102 4.989452 6.351694 4.491696 5.425574
## [4021] 4.642843 5.172050 4.130715 5.367688 5.290434 4.941831
## [4027] 6.008692 5.635006 5.160288 5.579194 2.953068 5.215516
## [4033] 2.987554 5.756226 5.534953 6.132934 7.057422 4.135283
## [4039] 4.874572 7.511187 5.602140 2.790093 4.201850 3.069075
## [4045] 3.691014 5.479952 3.541897 3.649442 3.094090 5.082439
## [4051] 4.452567 5.139356 4.496589 4.709670 5.402497 5.789857
## [4057] 5.150773 6.662191 4.513634 5.940021 5.614448 4.669306
## [4063] 3.664048 4.029784 5.302510 5.145041 4.013619 5.976563
## [4069] 4.914471 4.278541 3.940749 5.262677 16.191986 4.634820
## [4075] 3.196610 5.204247 4.554981 5.803860 3.904904 4.710988
## [4081] 4.300365 4.704306 3.020262 3.317358 5.500980 5.542256
## [4087] 5.841770 4.465999 4.957897 6.276555 5.708544 3.074762
## [4093] 4.063360 2.990531 3.797048 4.609634 5.223617 4.908513
## [4099] 5.470357 6.868641 4.545884 5.452449 2.992729 2.753505
## [4105] 5.280417 4.828799 4.925699 3.886487 4.228383 5.833350
## [4111] 2.712128 5.844358 5.022364 2.810778 5.173534 5.693989
## [4117] 3.667551 5.455480 2.945847 5.603984 5.189572 4.257325
## [4123] 4.867241 6.981748 5.277044 5.357508 4.379645 3.152326
## [4129] 3.082743 6.211505 2.870493 5.393010 4.612311 4.002397
## [4135] 5.027432 5.090464 5.636685 5.116708 4.397715 5.375133
## [4141] 5.201449 4.189596 5.451609 5.471858 4.387219 4.654815
## [4147] 3.864048 6.261810 3.083595 5.348175 3.065814 5.461981
## [4153] 7.171455 2.969959 2.994568 3.133100 5.736243 3.152002
## [4159] 5.449824 2.989808 3.633843 6.362563 4.367998 3.264148
## [4165] 4.581029 5.865407 5.144913 3.216955 6.254685 5.617054
## [4171] 3.569793 6.091019 5.034117 5.171549 5.706270 5.592942
## [4177] 2.951281 5.906493 4.152801 4.767344 5.644408 4.852020
## [4183] 3.111334 5.061044 5.155615 4.915965 4.079382 3.792476
## [4189] 4.936902 2.904662 4.126200 4.753134 4.691707 3.528081
## [4195] 5.018728 3.285759 4.440172 4.299992 2.691977 4.543121
## [4201] 6.492976 5.299484 4.975295 2.795314 4.155646 5.164603
## [4207] 3.449448 3.138219 6.855280 2.868949 7.870678 4.928414
## [4213] 6.572798 4.295890 5.063002 3.792171 5.091471 5.415453
## [4219] 6.386796 4.429333 3.711863 5.048197 5.624490 3.215924
## [4225] 3.883382 2.647113 3.130612 3.266809 5.705300 5.187429
## [4231] 5.808627 4.910960 5.606653 2.786024 4.224927 3.117828
## [4237] 4.901313 5.449984 5.811414 3.796784 5.211012 5.350813
## [4243] 4.588055 4.090247 4.511227 7.692944 5.626287 2.952618
## [4249] 5.678266 2.841970 3.800017 3.131652 5.544081 3.555988
## [4255] 4.010064 6.711261 3.122492 5.571919 5.542241 5.448195
## [4261] 3.355145 3.103897 5.314812 5.359716 5.006050 4.591427
## [4267] 3.635366 5.158998 5.374067 7.483812 4.170147 5.473219
## [4273] 3.563249 4.149406 6.693166 3.552119 5.564424 5.249566
## [4279] 4.797177 3.892135 5.431376 4.899850 5.509368 3.877309
## [4285] 3.063180 4.613259 3.949583 5.633925 5.335896 5.711875
## [4291] 2.946450 4.459431 3.671814 4.110036 5.604205 4.848099
## [4297] 5.458378 5.977769 5.191994 3.756871 4.105802 4.619087
## [4303] 4.661233 5.588050 6.185497 5.428374 6.755218 5.304635
## [4309] 4.161192 3.971192 5.326912 4.281517 2.840316 5.631413
## [4315] 3.523186 5.528011 3.607590 4.720797 4.743737 5.845775
## [4321] 5.132221 4.657035 5.188241 3.342429 3.974833 3.705677
## [4327] 4.606171 4.815089 14.760753 5.546730 3.452532 5.298727
## [4333] 4.777435 4.554182 4.371975 6.793371 5.221997 4.457446
## [4339] 5.392222 7.780206 3.548187 2.815437 3.862965 3.751575
## [4345] 7.183535 3.848829 3.752124 3.947276 5.262916 6.995092
## [4351] 5.556507 5.183819 4.716593 3.902372 5.724998 7.946552
## [4357] 4.380616 2.904595 4.912030 5.244506 3.065156 5.930751
## [4363] 4.276035 3.295234 5.310867 5.741477 4.980143 4.228132
## [4369] 4.681027 4.631425 4.905825 4.721263 4.386425 4.019571
## [4375] 6.142040 3.045964 4.651189 6.168258 2.854579 5.107629
## [4381] 5.242055 3.417459 5.018743 5.517222 3.122219 5.702068
## [4387] 4.829851 5.186718 4.401821 5.251969 2.951488 4.959820
## [4393] 5.612786 3.830128 6.308421 5.056326 4.060638 5.111609
## [4399] 5.629753 3.953163 5.089320 5.552711 6.462731 3.212175
## [4405] 3.015994 3.742101 3.249821 4.806687 4.049625 4.692485
## [4411] 5.535422 5.555648 5.544616 6.165971 4.287939 6.006557
## [4417] 5.212027 4.780001 2.654553 3.468904 5.719734 3.996748
## [4423] 4.604286 5.542635 3.846484 5.582259 3.138311 2.630734
## [4429] 2.767999 3.471991 5.984959 2.987528 4.544056 3.291712
## [4435] 4.322140 4.314018 3.757362 3.212199 6.106697 5.944307
## [4441] 3.914686 4.953298 5.050793 4.937295 3.048023 5.122777
## [4447] 5.604109 4.227138 5.607375 5.808498 5.404996 4.290788
## [4453] 3.221314 6.655443 5.260266 4.405465 3.849741 3.042492
## [4459] 3.795414 4.736652 5.845431 3.730099 4.769863 6.049933
## [4465] 4.875503 5.824972 7.051088 5.980917 4.476162 6.902311
## [4471] 3.890598 5.741156 3.427328 5.612267 4.775863 5.003387
## [4477] 4.643354 2.868420 5.459874 5.804331 4.506700 6.030820
## [4483] 4.977213 5.780424 3.794650 5.553620 7.437957 4.405258
## [4489] 5.014255 5.532391 5.965838 3.903520 3.071995 2.786484
## [4495] 5.478801 3.829834 4.663001 6.045915 6.247763 5.544015
## [4501] 7.082135 5.026748 4.901349 4.109788 3.648341 3.236568
## [4507] 6.495767 6.101378 5.054773 4.034206 2.954570 6.183812
## [4513] 4.972781 5.250304 5.255946 5.167399 5.386937 4.801585
## [4519] 5.017278 3.195305 5.402075 3.888374 6.954103 4.153493
## [4525] 5.105971 4.780852 5.422262 5.214853 5.054565 5.126838
## [4531] 4.282436 3.437971 5.531341 5.269821 4.553040 5.299537
## [4537] 3.310578 5.567163 5.104863 5.201070 7.141295 6.009153
## [4543] 5.550740 5.202988 5.564401 5.385605 5.015255 5.094565
## [4549] 6.450988 5.213057 4.458191 2.758905 2.953645 4.656569
## [4555] 3.497309 5.917461 4.478479 4.845592 5.504239 3.689039
## [4561] 5.320057 3.788504 3.788002 6.505382 5.852280 5.888913
## [4567] 5.697452 2.948930 4.253859 7.268836 5.876559 5.548402
## [4573] 5.741987 5.086269 5.125513 3.965413 3.767740 4.607172
## [4579] 3.132943 6.562760 4.664081 3.633117 5.160265 5.555119
## [4585] 4.408603 6.254732 4.757004 4.142904 5.085549 4.907862
## [4591] 3.643555 6.380804 4.947683 4.914519 5.134391 4.063039
## [4597] 3.058067 5.093553 3.097429 5.935538 5.333287 3.768689
## [4603] 5.498016 5.367865 7.374186 9.511278 5.534157 4.299113
## [4609] 4.720538 3.181928 3.497633 2.866114 6.044313 2.647502
## [4615] 4.569778 5.898099 5.986973 6.539445 5.655419 5.194148
## [4621] 6.231175 8.198931 4.499932 6.508364 5.592249 3.056148
## [4627] 5.059040 5.349702 5.022287 4.681166 7.092968 5.434000
## [4633] 3.976326 4.078652 4.974193 5.039809 5.461015 5.709585
## [4639] 5.352097 4.006809 3.999331 4.894770 4.857743 4.399526
## [4645] 5.690519 3.418854 7.362069 4.165599 4.778948 4.981429
## [4651] 5.180832 4.006332 4.023203 5.157089 5.296338 6.577839
## [4657] 3.210712 4.141371 5.384158 4.237694 4.731213 4.497435
## [4663] 4.762719 4.479339 4.714007 6.224667 4.970265 4.621760
## [4669] 4.838954 5.185061 3.469749 5.608183 4.789529 4.707093
## [4675] 5.536215 4.890896 5.559206 3.755954 4.948563 5.232520
## [4681] 4.695272 4.801728 4.652215 6.115403 4.803102 4.783263
## [4687] 3.846936 3.609604 4.647393 2.736768 6.873178 5.804351
## [4693] 4.771489 3.047571 3.560172 4.046299 3.507536 4.860683
## [4699] 3.208463 5.759406 2.853478 6.041875 5.251672 3.909413
## [4705] 3.888122 4.313428 6.009626 3.121241 3.535951 4.272526
## [4711] 3.069958 5.432638 5.363007 4.909746 5.511334 3.438186
## [4717] 5.742418 5.113833 5.136508 4.751935 5.538530 2.902601
## [4723] 5.052157 4.810613 4.147376 4.625574 5.522686 5.839327
## [4729] 5.328344 3.572327 3.882546 5.679372 4.496137 5.050930
## [4735] 4.934264 4.509991 3.573647 6.080888 3.254461 3.478346
## [4741] 3.922236 3.405777 3.251055 4.510343 4.428648 4.357565
## [4747] 6.005849 2.999643 4.227389 4.636923 4.720080 4.616993
## [4753] 4.676283 5.592113 3.736355 3.771065 4.182461 7.250487
## [4759] 3.975103 5.899011 4.565017 3.719287 4.387973 7.889417
## [4765] 5.015490 4.022097 3.923286 5.319714 5.063146 5.820699
## [4771] 5.503531 5.373923 4.375892 4.025082 3.921112 5.715092
## [4777] 5.628780 5.167716 2.945819 6.865839 4.130831 4.029812
## [4783] 3.044522 4.480509 7.481762 5.870007 4.044056 7.419597
## [4789] 3.992683 3.296191 5.643385 3.039127 5.147759 6.420607
## [4795] 5.342056 7.984756 4.935927 4.281509 4.227678 4.417277
## [4801] 4.018963 5.186385 5.216848 5.245553 3.426289 6.129276
## [4807] 5.887830 3.796526 4.286219 4.180364 4.135249 2.904143
## [4813] 5.636283 5.276834 4.137701 2.776004 3.705928 3.261195
## [4819] 5.541065 3.770523 5.482361 3.789565 5.795700 4.535507
## [4825] 5.571374 3.346525 5.927637 6.095802 5.607383 5.618529
## [4831] 2.994203 6.325462 4.376860 4.334187 4.080700 4.739556
## [4837] 3.779019 3.976312 5.192377 5.366109 4.759743 5.836285
## [4843] 4.636822 3.173971 5.419899 5.626997 5.677056 5.552770
## [4849] 6.591951 6.334375 3.058049 7.455092 4.746318 3.916684
## [4855] 4.430023 5.281634 3.644328 3.018893 6.086783 4.576887
## [4861] 6.248214 3.978228 4.201006 3.716873 3.010328 3.596986
## [4867] 6.652053 5.324746 5.677416 2.971083 3.351150 4.223704
## [4873] 4.944964 4.295967 4.039829 6.041375 4.883094 5.348302
## [4879] 3.316894 4.909917 5.577879 4.222313 5.107569 4.883884
## [4885] 5.219194 9.028002 5.461750 3.940493 3.797153 3.066054
## [4891] 5.406631 3.947564 5.606053 5.000098 4.589563 4.186383
## [4897] 4.259660 5.088072 7.412691 5.348182 5.618902 3.109759
## [4903] 4.857554 3.166617 4.898908 5.992683 5.405863 2.864713
## [4909] 3.186751 4.861240 7.334051 6.107677 4.174396 5.531254
## [4915] 4.847899 5.571753 5.256612 3.295898 5.595709 5.928517
## [4921] 5.279139 5.762555 4.189058 4.230880 5.278369 4.176062
## [4927] 4.657758 3.749303 6.784601 6.144715 4.681308 5.774213
## [4933] 5.358861 3.424782 3.126688 5.726895 5.952491 5.263907
## [4939] 5.169869 4.811002 4.856101 4.494713 6.080039 2.812885
## [4945] 4.372190 4.092006 5.217033 7.453669 6.037795 5.611215
## [4951] 3.601663 6.179908 4.339757 5.369655 3.068018 7.833572
## [4957] 6.364665 4.903155 2.762655 2.966026 4.225796 4.530055
## [4963] 4.725592 4.670116 6.351826 4.819290 6.384532 3.743998
## [4969] 3.324800 4.295651 4.048451 5.332408 4.624588 3.918484
## [4975] 2.891869 2.966324 5.915848 5.236842 5.565703 5.247758
## [4981] 5.053960 4.231947 6.025440 5.374146 5.555455 7.821307
## [4987] 3.155411 4.362266 3.700873 4.785545 5.288011 2.937512
## [4993] 4.266323 2.921637 4.128285 4.585360 5.411266 6.280718
## [4999] 3.262013 5.273153 4.601374 6.490857 4.514127 4.420771
## [5005] 2.886257 5.499658 6.103432 3.957491 2.827265 2.736691
## [5011] 4.902988 2.982073 4.734275 4.831295 5.681223 4.931097
## [5017] 5.262552 2.981417 4.794993 5.496583 4.035801 5.129021
## [5023] 3.778391 5.336761 5.253538 4.806690 5.533191 6.050996
## [5029] 3.462752 5.482267 6.011735 2.918958 4.346969 4.469022
## [5035] 5.109977 3.902661 5.277310 3.613324 5.133135 3.180303
## [5041] 5.097903 5.486147 4.172490 3.444705 5.030975 3.688872
## [5047] 4.871486 2.813151 5.513495 5.667885 2.862283 3.366050
## [5053] 2.959956 5.467661 4.629643 4.929469 5.510103 2.902022
## [5059] 4.695476 4.205414 4.367761 3.087127 2.744019 5.176867
## [5065] 3.659324 4.368994 2.588335 5.848644 4.739375 5.044749
## [5071] 4.366704 4.445952 2.627437 3.164119 5.064245 3.055878
## [5077] 4.532589 3.949539 4.554383 4.998355 5.076362 5.559570
## [5083] 5.767801 3.391588 6.309343 5.447606 6.371415 4.295094
## [5089] 3.729838 5.309002 2.968264 2.979367 5.160882 4.549879
## [5095] 5.371036 3.178828 5.173365 6.815312 3.323945 5.099689
## [5101] 4.916884 2.955023 3.897149 9.340439 4.603588 4.368069
## [5107] 5.273393 4.393006 4.607356 6.105121 9.398727 4.836266
## [5113] 2.972887 5.220523 5.975134 6.008355 4.219255 5.256993
## [5119] 3.761059 4.295833 4.600766 7.065415 10.038816 4.548169
## [5125] 5.315821 3.862608 3.759829 4.828868 5.320172 5.894663
## [5131] 5.329478 3.099409 4.843603 3.574355 4.266474 5.021329
## [5137] 6.622141 4.976778 4.957616 3.091358 5.375410 6.929354
## [5143] 3.990384 6.176322 7.995510 3.905517 6.643438 3.272270
## [5149] 5.343957 3.784218 4.523286 5.460206 5.037871 3.966978
## [5155] 5.457500 5.806413 4.304821 5.457066 4.971475 3.216054
## [5161] 4.870134 4.468746 5.033774 3.206202 4.629699 4.844865
## [5167] 5.246610 4.072913 3.165755 5.034083 5.450608 5.193615
## [5173] 4.207362 4.384807 5.607297 5.415474 4.270256 5.128568
## [5179] 4.764643 5.488194 2.977015 5.910055 6.357729 3.091356
## [5185] 7.189087 4.997805 5.932236 3.407236 6.091227 3.334938
## [5191] 6.390449 4.525741 5.572879 4.561594 5.677932 4.023724
## [5197] 3.729372 3.715389 5.461763 5.746552 5.033332 4.718406
## [5203] 8.141987 2.925096 5.990814 4.062618 5.075415 2.781967
## [5209] 5.786820 5.965366 5.383161 7.060260 3.124269 4.934128
## [5215] 2.832405 4.550317 4.774360 4.540254 3.192783 3.731114
## [5221] 3.755859 5.863667 5.361011 2.916732 4.348314 5.963267
## [5227] 3.026759 3.763956 5.911431 4.624782 4.934334 4.274610
## [5233] 3.363374 5.854248 5.281302 5.446942 3.562533 4.020502
## [5239] 4.449716 3.931011 5.538650 4.618968 4.329519 4.325229
## [5245] 3.413529 4.154134 7.430899 6.369416 5.494968 7.287964
## [5251] 4.840362 3.666715 5.687819 5.280031 5.742468 4.171178
## [5257] 6.090629 6.059869 5.268140 2.949170 4.771679 8.119358
## [5263] 5.070193 4.050907 4.745407 5.798627 5.561486 2.923051
## [5269] 5.455429 6.118972 5.056191 4.366719 4.080933 4.543135
## [5275] 4.460147 5.439532 6.466122 2.967074 2.989622 3.527525
## [5281] 5.242093 2.808657 3.871679 4.346339 4.696677 3.053331
## [5287] 5.984665 3.460561 5.104952 4.164267 2.938902 3.081881
## [5293] 3.818550 5.059863 4.945529 5.192617 5.410968 5.826050
## [5299] 5.796436 3.708303 2.988014 4.222874 5.930656 5.486934
## [5305] 2.915905 4.708006 5.518082 2.678128 5.721203 4.271812
## [5311] 4.060224 4.330519 3.538069 8.212110 5.569693 6.003042
## [5317] 7.146423 5.393927 2.798550 6.270155 6.598820 3.160576
## [5323] 2.691699 5.466280 4.972645 5.579589 4.922481 6.393941
## [5329] 5.269343 6.117241 5.585381 5.615860 5.238504 3.662197
## [5335] 5.278426 5.656086 4.903665 6.316155 4.958497 4.753368
## [5341] 5.767882 5.048105 4.872733 2.725764 4.574206 2.633111
## [5347] 4.180209 4.396968 4.414947 4.222242 2.927269 5.529270
## [5353] 3.311011 3.783932 3.207634 4.620421 5.757598 7.141774
## [5359] 7.913622 3.151887 4.943972 5.534906 2.871729 5.875165
## [5365] 3.693920 6.357162 2.950978 2.875343 4.018369 5.256697
## [5371] 2.638743 2.889670 5.380369 4.635575 4.712914 5.035056
## [5377] 6.032159 5.307424 7.533969 5.188671 6.749889 4.588880
## [5383] 4.682319 3.863501 3.621989 5.701848 4.794337 5.735598
## [5389] 4.320263 5.385442 6.043365 5.761163 4.641879 3.323963
## [5395] 3.198782 4.995488 2.858495 5.398927 5.663567 4.568619
## [5401] 5.160432 3.577504 5.734525 5.286830 5.078844 4.083637
## [5407] 5.083300 5.317760 3.243176 5.006366 5.512534 6.365969
## [5413] 4.916532 4.325135 4.995329 3.581577 4.627917 4.734070
## [5419] 3.290844 5.047809 4.341651 4.461405 3.087281 4.672064
## [5425] 5.575417 5.044189 4.860059 3.648141 6.968282 3.212217
## [5431] 4.812925 5.371599 3.981904 2.789183 4.158474 5.918613
## [5437] 6.347434 10.196089 5.739693 5.523772 3.398312 4.315669
## [5443] 4.202484 3.446681 5.076494 3.653079 4.083637 4.411523
## [5449] 6.195492 5.853781 4.588314 4.819585 5.432141 5.116613
## [5455] 6.834529 5.555811 4.494052 5.560432 4.571133 5.180829
## [5461] 3.803024 3.044921 6.034801 4.609627 5.012555 4.730428
## [5467] 4.021959 5.203751 5.847048 5.523598 4.046082 3.440097
## [5473] 4.569571 3.203713 5.232478 5.522501 4.825352 4.387422
## [5479] 3.283019 5.054157 2.906759 8.090752 2.887624 5.288286
## [5485] 4.858723 5.187308 4.570452 3.752121 5.491399 5.971735
## [5491] 3.313659 2.729543 4.355446 5.666682 5.431056 4.004057
## [5497] 6.932961 3.201581 4.735838 5.066860 3.916676 4.999630
## [5503] 4.643345 7.890495 4.677722 3.210837 4.318153 5.260976
## [5509] 6.705665 5.235870 4.426532 4.116822 2.707590 3.799463
## [5515] 4.306967 5.312954 4.017911 3.447586 5.381107 3.027128
## [5521] 2.918641 5.181700 3.541454 4.921782 3.406404 5.779138
## [5527] 7.968381 5.201730 5.440017 4.822170 5.018279 6.247492
## [5533] 5.086345 2.683883 4.253541 5.575587 5.785277 3.460436
## [5539] 5.301097 3.975261 5.823076 2.992949 5.584273 4.718675
## [5545] 5.075517 4.408358 5.745744 3.895785 5.082252 4.248525
## [5551] 4.843333 4.262581 3.159081 5.629980 5.255237 2.994512
## [5557] 3.522411 6.207847 3.893942 4.903002 5.431074 3.032302
## [5563] 5.407406 5.009940 5.250583 3.361927 2.832069 5.365889
## [5569] 11.034004 4.418341 4.368519 4.705019 5.761263 3.307647
## [5575] 2.920459 4.317353 2.663604 3.516805 3.250848 5.074804
## [5581] 4.331941 2.878610 6.658614 5.516688 4.627604 4.682181
## [5587] 5.580160 6.067064 3.040963 4.884002 4.737572 3.457533
## [5593] 5.157220 4.452698 6.350737 4.877159 3.598401 4.135338
## [5599] 5.626098 5.517855 5.804811 6.428020 4.386242 5.559025
## [5605] 4.047500 4.333633 2.437255 4.514227 4.735937 3.615507
## [5611] 5.489441 5.189314 6.643931 5.877896 6.108373 3.079902
## [5617] 3.054681 5.802013 3.288586 5.071152 4.575068 3.657197
## [5623] 7.286479 3.633039 4.596603 4.878062 6.036491 7.292952
## [5629] 6.278987 7.587683 4.597135 6.561179 5.612506 4.193132
## [5635] 5.664563 5.997371 4.828885 6.005211 4.148723 5.244382
## [5641] 6.360370 3.735976 6.046002 4.911275 5.282758 4.403595
## [5647] 5.287714 3.361110 3.826666 4.932469 3.992003 3.664717
## [5653] 3.289819 6.697194 5.060323 5.077347 3.814980 5.804752
## [5659] 5.225975 7.152746 4.208898 4.418294 5.675921 2.777507
## [5665] 4.191244 7.076551 5.396381 5.344371 5.297531 4.629081
## [5671] 4.390235 4.532021 3.377541 5.577566 5.778926 5.903429
## [5677] 4.064708 5.610992 4.359793 5.207959 6.091874 5.922331
## [5683] 5.878256 4.416743 4.860884 3.380175 5.172163 5.419922
## [5689] 5.295923 5.567175 5.574349 2.861740 6.974325 5.212429
## [5695] 5.287726 3.100523 3.585064 4.586497 4.186670 4.021422
## [5701] 3.245248 3.448489 4.923620 3.665750 5.715216 5.263438
## [5707] 4.202585 8.075225 2.814739 5.988740 2.794422 4.355721
## [5713] 5.363287 5.196029 4.363402 3.305672 3.924651 4.447218
## [5719] 3.907870 5.267724 5.854990 5.129077 4.736319 6.506403
## [5725] 3.795494 4.286614 3.214732 2.902095 5.676175 4.825132
## [5731] 6.040753 5.455715 4.258221 3.471725 5.100399 3.519033
## [5737] 5.557395 6.396591 3.107686 6.233303 2.930400 5.104973
## [5743] 3.762371 4.549057 4.175188 7.226225 5.305076 5.411605
## [5749] 5.626570 2.767329 6.190759 5.732811 5.806761 4.973881
## [5755] 2.969679 3.023536 6.242232 5.481381 4.778952 4.349752
## [5761] 3.654315 7.627112 4.332131 5.801345 3.251612 5.530540
## [5767] 2.952787 4.676234 3.737653 4.708162 3.916170 2.809816
## [5773] 5.137983 4.425419 4.022489 5.135192 4.315286 4.574810
## [5779] 3.068665 7.765393 4.347334 4.462640 4.802222 4.337504
## [5785] 5.282779 6.051610 5.491001 6.073712 4.389028 5.500529
## [5791] 3.061634 6.282572 6.719177 3.410586 5.804097 4.345123
## [5797] 2.872821 4.430131 5.733099 2.975788 4.450264 3.445490
## [5803] 5.691561 3.708195 4.624186 4.519762 3.089411 5.132655
## [5809] 4.795803 3.284230 3.019399 3.014650 4.572376 4.828169
## [5815] 5.376538 4.990471 4.543734 4.686580 4.255209 5.552526
## [5821] 4.674922 5.415343 3.324868 4.099695 6.137211 3.144235
## [5827] 3.132481 4.952611 4.600307 5.574789 8.659263 5.415997
## [5833] 4.687475 4.259116 5.415885 3.987684 6.403833 5.354763
## [5839] 3.386392 3.205385 3.778630 5.635868 5.819146 4.008378
## [5845] 2.959396 5.131394 4.577422 5.394220 5.202619 4.566631
## [5851] 4.862762 5.436899 5.567654 5.457826 5.556517 3.639517
## [5857] 4.088765 5.033696 5.387895 5.394031 4.563729 5.011714
## [5863] 5.020063 4.294129 7.399404 4.128296 3.953923 5.061073
## [5869] 4.786795 6.269789 4.027235 3.814607 3.914961 3.314680
## [5875] 5.570095 5.233851 4.270086 6.737780 4.145619 5.257215
## [5881] 3.325795 5.314018 5.355465 5.770661 4.942565 5.080456
## [5887] 6.422805 4.964550 5.503081 2.953866 4.256084 4.596549
## [5893] 4.898003 4.080550 4.922318 5.452035 2.966173 2.857320
## [5899] 5.830754 4.902410 6.107653 5.213917 5.526768 4.169180
## [5905] 6.089204 5.778671 6.751840 7.409555 4.658606 4.117101
## [5911] 5.571704 5.803845 6.648587 2.964979 6.673275 5.000548
## [5917] 5.389145 5.230321 5.097197 2.876179 3.978878 5.536054
## [5923] 3.883575 4.743858 5.836799 5.220800 4.266907 3.299911
## [5929] 5.555672 5.386624 5.751098 9.384036 3.601620 4.463136
## [5935] 4.925086 4.883740 5.282902 5.925535 2.847467 4.117803
## [5941] 3.151935 5.649555 5.657683 4.096348 4.601048 2.742549
## [5947] 3.083706 4.628195 5.674708 5.218536 3.108461 3.210124
## [5953] 3.959844 3.648452 4.536029 6.833885 6.505184 5.434911
## [5959] 5.208655 6.614407 5.739522 4.765113 7.109469 4.554036
## [5965] 4.983955 3.029495 5.435975 3.307744 6.743698 5.403905
## [5971] 2.940255 5.627766 5.630426 5.130303 4.144230 5.687298
## [5977] 2.761776 4.882417 4.943461 3.089617 4.373348 6.898656
## [5983] 2.750139 7.166853 3.253750 5.072722 4.255199 4.849454
## [5989] 5.048236 6.266214 3.706558 5.078654 6.343443 4.478519
## [5995] 5.558545 5.864501 3.424769 4.010964 6.704819 6.096980
## [6001] 4.579096 3.462028 7.514638 3.595960 4.935088 5.552857
## [6007] 4.872577 3.166808 3.163187 3.789378 5.122654 5.157120
## [6013] 4.639619 2.819235 4.698975 5.714554 4.238143 7.162574
## [6019] 4.858799 2.761515 5.058139 8.906431 5.724439 2.986105
## [6025] 5.089333 4.126359 6.124805 5.997954 3.409905 5.210138
## [6031] 4.325379 4.254547 4.853896 3.941736 4.768458 4.120969
## [6037] 3.480865 3.621753 5.405842 3.686145 5.933496 2.980234
## [6043] 6.252699 5.735049 4.392521 3.497519 4.759232 3.031598
## [6049] 3.904888 4.420947 4.102005 4.909626 6.015595 3.010486
## [6055] 2.878093 5.794055 3.973538 5.004061 4.714855 5.070906
## [6061] 5.931921 4.879271 4.314483 4.963778 6.521660 3.364521
## [6067] 2.686504 5.431513 4.413824 5.093388 5.735988 4.430777
## [6073] 3.510378 4.467749 6.632969 4.658493 4.527549 4.814721
## [6079] 5.229253 5.657409 3.321438 4.334638 3.797832 4.064858
## [6085] 5.556122 3.084186 3.326539 5.155135 5.713151 2.952839
## [6091] 4.879292 3.938504 5.681408 5.212622 4.844227 3.329272
## [6097] 3.734420 6.362157 4.909023 6.221850 4.796547 3.663224
## [6103] 4.284683 4.563299 5.192069 7.005113 2.992489 6.016832
## [6109] 3.540699 4.836171 6.205228 3.842368 6.353553 3.720946
## [6115] 3.705964 5.522783 5.230523 5.856297 4.132759 4.246321
## [6121] 5.774977 5.123080 5.888095 5.490254 5.725535 4.589029
## [6127] 5.427908 3.405901 6.894529 2.895958 6.270214 2.740520
## [6133] 4.878049 4.268691 5.158184 4.046205 4.284295 5.637350
## [6139] 3.898610 4.231011 5.410058 3.222671 5.257272 6.178268
## [6145] 2.934896 2.940179 2.625713 6.035770 4.222058 6.330015
## [6151] 4.428573 4.027762 4.120269 5.660155 4.347188 3.327016
## [6157] 5.002982 5.305870 6.475929 5.901945 4.120141 4.172053
## [6163] 2.844523 3.375185 3.595226 5.251091 4.401022 4.857304
## [6169] 5.867341 4.666755 4.717394 5.217443 6.287749 4.923049
## [6175] 5.192329 6.056722 5.142700 5.328994 5.152789 4.050961
## [6181] 3.466916 4.952988 4.839131 6.197856 5.353458 4.328768
## [6187] 4.961404 6.051436 3.061307 5.057585 5.178543 2.898520
## [6193] 4.328422 5.580437 5.919310 2.974882 6.069097 5.823161
## [6199] 4.423890 5.565994 6.187710 4.069556 2.938616 5.321453
## [6205] 4.483875 5.186565 4.171327 2.808495 5.279949 4.173501
## [6211] 4.609538 5.864202 3.410589 2.949710 5.734771 4.633265
## [6217] 5.178402 4.083490 5.092177 2.654301 4.773719 5.049097
## [6223] 3.303681 3.014156 5.654686 5.619961 5.344773 3.104731
## [6229] 3.793804 5.387376 4.412470 5.878456 3.323936 3.169859
## [6235] 5.787416 2.951997 3.639070 5.256177 3.585936 4.409073
## [6241] 5.225139 4.972886 4.202983 4.755792 6.409622 6.349946
## [6247] 5.137696 5.064785 4.466148 3.647371 3.778531 4.669742
## [6253] 4.773774 6.432120 4.903142 5.542770 5.681741 5.008646
## [6259] 5.837812 6.136226 6.212849 2.616716 5.671654 3.101331
## [6265] 4.872776 4.156151 5.169883 4.465149 5.249404 5.471462
## [6271] 6.149469 5.936952 3.717751 5.467422 5.459441 4.000594
## [6277] 4.404236 6.327488 4.418038 2.858010 4.700744 5.044805
## [6283] 3.750574 3.752246 4.251540 3.822603 4.503550 3.426254
## [6289] 8.805122 3.258557 3.349026 5.234952 4.584584 3.576523
## [6295] 5.039389 4.823327 4.012518 4.635616 5.678516 10.161844
## [6301] 5.581947 4.399215 5.027468 5.254303 5.205130 4.896949
## [6307] 7.014353 7.174028 5.729642 4.481676 2.924009 4.020624
## [6313] 4.805907 5.665888 3.009062 3.919614 4.537336 4.425298
## [6319] 4.151453 3.738149 5.006440 5.182789 4.078975 6.405599
## [6325] 7.291525 5.040318 2.739214 3.998960 3.976164 5.116360
## [6331] 3.142417 4.715492 4.653312 4.841882 4.167244 4.766240
## [6337] 6.097141 5.491442 5.062538 3.423336 2.764413 4.434683
## [6343] 5.001310 5.641221 3.736305 4.054944 2.942841 5.555514
## [6349] 4.785881 5.033428 4.325253 5.331567 6.711930 4.313502
## [6355] 4.755040 5.251815 3.807675 5.561250 4.847141 5.429987
## [6361] 6.055651 2.936596 5.543803 5.377557 3.767490 6.216614
## [6367] 4.968851 4.540225 5.056794 4.858597 6.802403 7.333948
## [6373] 4.369143 4.176673 6.943409 4.316204 4.236986 2.911054
## [6379] 4.648741 4.282152 2.802384 3.285218 5.481993 6.471157
## [6385] 3.674590 3.455649 6.335762 5.466346 4.536051 5.663262
## [6391] 5.092872 5.476676 4.968517 4.812420 4.487895 5.049402
## [6397] 3.324787 4.266704 3.535996 6.864569 3.910257 5.639191
## [6403] 7.529733 5.576549 4.831698 3.877203 4.201658 3.717359
## [6409] 3.040728 4.188791 5.762811 2.813456 3.177614min(mif_sim_combined_output_df$R_0)## [1] 0.2246014mif_sim_combined_output_df_end_params = filter(mif_sim_combined_output_df) %>%
filter(msg == "mif1")
min(mif_sim_combined_output_df_end_params$R_0)## [1] 0.2246014range(top_2_LL_end_params$R_0)## [1] 2.402049 16.191986hist(top_2_LL_end_params$R_0)
p = ggplot(data = top_2_LL_end_params,
aes(x = R_0, y = loglik)) +
geom_point() +
rahul_man_figure_theme
p
p = ggplot(data = top_2_LL_end_params,
aes(x = E_0, y = loglik)) +
geom_point() +
rahul_man_figure_theme
p
p = ggplot(data = top_2_LL_end_params,
aes(x = E_0+z_0, y = loglik)) +
geom_point() +
rahul_man_figure_theme
p
p = ggplot(data = top_2_LL_end_params,
aes(x = R_0, y = E_0+z_0)) +
geom_point() +
rahul_man_figure_theme
p
p = ggplot(data = top_2_LL_end_params,
aes(x = R_0, y = p_S)) +
geom_point() +
rahul_man_figure_theme
p
range(top_2_LL_end_params$sigma_M)## [1] 0.2706596 0.2850593Analsyis of top 20 LL
top_25_LL = mif_sim_combined_output_df_end_params %>%
filter(loglik > max(loglik) - 25)
range(top_25_LL$R_0)## [1] 1.136031 234.936099top_20_LL_end_params = mif_sim_combined_output_df_end_params %>%
filter(loglik > max(loglik)-20)
top_5_LL = mif_sim_combined_output_df_end_params %>%
filter(loglik > max(loglik) - 5)
range(top_5_LL$R_0)## [1] 1.969799 21.406953range(top_5_LL$E_0)## [1] 4184.177 46931.589p = ggplot(data = top_5_LL,
aes(x = R_0, y = E_0)) +
geom_point() + rahul_man_figure_theme
p
p = ggplot(data = top_5_LL,
aes(x = p_S, y = R_0)) +
geom_point() + rahul_man_figure_theme
p
Evalulate model performance
nyc_antibdoy_df = read.csv("../Generated_Data/antibody_data_from_nyc_study_with_RS_calc_CI.csv")
p = ggplot(data = nyc_antibdoy_df,
aes(x = Date, y = Prop_Positive)) + geom_ribbon(aes(ymin = lower_CI,
ymax = upper_CI),
fill = 'grey70',
alpha = 0.7) +
geom_point() +
geom_line() + rahul_man_figure_theme
p## geom_path: Each group consists of only one observation. Do you need to
## adjust the group aesthetic?
png("../Figures/Profiles/N_13_Model/Anitbody_data_with_RS_calc_CI_dates.png")
print(p)## geom_path: Each group consists of only one observation. Do you need to
## adjust the group aesthetic?dev.off()## quartz_off_screen
## 2p = ggplot(data = nyc_antibdoy_df,
aes(x = times, y = Prop_Positive)) + geom_ribbon(aes(ymin = lower_CI,
ymax = upper_CI),
fill = 'grey70',
alpha = 0.7) +
geom_point() +
geom_line() + rahul_man_figure_theme + xlab("Days since March 1, 2020")
p
png("../Figures/Profiles/N_13_Model/Anitbody_data_with_RS_calc_CI_days.png")
print(p)
dev.off()## quartz_off_screen
## 2###Load ML combination for model accross all five profiles
MLE = mif_sim_combined_output_df %>%
filter(msg == "mif1") %>%
filter(loglik == max(loglik))
ML_params = MLE %>%
dplyr::select(-param_index, -iter_num,
-msg, -loglik, -nfail,
-trace_num, -loglist.se)
MIF_run_1_MLE_params = ML_params
MIF_run_1_MLE_params## M_0 V_0 K_0 R_0 b_q b_a b_p p_S p_H_cond_S phi_E
## 1 5 13 14 5.870554 0.212427 0 0.9293377 0.217182 0.1748478 1.09
## phi_U phi_S h_V gamma N_0 E_0 z_0 C_0
## 1 1.09 0.2 0.125 154.6271 8e+06 44854.17 7426.871 0
## social_distancing_start_time quarantine_start_time PCR_sens sigma_M
## 1 17 22 0.9 0.2752018
## beta_w_3 beta_w_2 beta_w_1 beta_w_0 g_0 g_F sigma_epsilon
## 1 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## G_w_y_scaling
## 1 0.162write.csv(MLE, file = "../Generated_Data/Profiles/N_13_Model/Grid_Search_MIF_run_1/MLE_Grid_Search_MIF_run_1_with_LL.csv",
row.names = FALSE)
write.csv(MIF_run_1_MLE_params, file = "../Generated_Data/Profiles/N_13_Model/Grid_Search_MIF_run_1/MLE_Grid_Search_MIF_run_1.csv",
row.names = FALSE)
small_E_0_param = top_5_LL %>%
filter(E_0 == min(E_0))
small_E_0_param_combo = small_E_0_param %>%
dplyr::select(-param_index, -iter_num,
-msg, -loglik, -nfail,
-trace_num, -loglist.se)
small_p_S_param = top_2_LL_end_params %>%
filter(p_S == min(p_S))
write.csv(small_p_S_param, file = "../Generated_Data/Profiles/N_13_Model/Grid_Search_MIF_run_1/small_p_S_top_2_LL_comb_with_loglik.csv",
row.names = FALSE)
save(top_2_LL_end_params,file = paste0("../Generated_Data/Profiles/", model_name, "_Model/Grid_Search_MIF_run_1/top_2_LL_end_params.RData"))
small_p_S_param_combo = small_p_S_param %>%
dplyr::select(-param_index, -iter_num,
-msg, -loglik, -nfail,
-trace_num, -loglist.se)
small_p_S_param## M_0 V_0 K_0 R_0 b_q b_a b_p p_S p_H_cond_S phi_E
## 1 5 13 14 11.19858 0.1709458 0 0.3876922 0.1939619 0.1660887 1.09
## phi_U phi_S h_V gamma N_0 E_0 z_0 C_0
## 1 1.09 0.2 0.125 7.283974 8e+06 42827.38 10036.17 0
## social_distancing_start_time quarantine_start_time PCR_sens sigma_M
## 1 17 22 0.9 0.2783384
## beta_w_3 beta_w_2 beta_w_1 beta_w_0 g_0 g_F sigma_epsilon
## 1 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## G_w_y_scaling msg iter_num param_index loglik nfail trace_num
## 1 0.162 mif1 10 32 -1.451009 NA NA
## loglist.se
## 1 0.008818454# small_R_0_ML_params = small_R_0_MLE %>%
# dplyr::select(-param_index, -iter_num,
# -msg, -loglik, -nfail,
# -trace_num, -loglist.se)
# small_R_0_ML_paramsSimulate trajectories from MLE parameters for baseline model
We simulate 100 stochastic trajectories (both process and environmental noise) from the overall MLE for the baseline model. We calculate the mean and the 2.5\(\%\) and 97.5\(\%\) quantile for values of the trajectories.
##Simulation from ML
sim_data = simulate(nsim = 100,
seed = 12345,
times = Observed_data$times,
t0 = t0,
rprocess = pomp::euler(rproc,delta.t = 1),
params = ML_params,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
partrans = par_trans,
covar = covar,
format = "data.frame")
#head(sim_data)
sim_data_median_Y = aggregate(Y ~ time, sim_data, median)
sim_data_quant = aggregate(Y ~ time, sim_data, quantile, probs = c(0.025, 0.975))
sim_data_quant$Y = as.data.frame(sim_data_quant$Y)
colnames(sim_data_quant$Y) = c("Q2.5", "Q97.5")Compare simulated trajectories with that of real data
The plots below show the real observed dengue case trajectory versus the mean and 2.5\(\%\) and 97.5\(\%\) quantile from the stochastic simulation of the baseline model MLE.
comp_data = data.frame(time = sim_data_median_Y$time,
sim_data_median = sim_data_median_Y$Y,
sim_data_low_Q = sim_data_quant$Y$Q2.5,
sim_data_high_Q = sim_data_quant$Y$Q97.5,
true_data = Observed_data$Y)
comp_data_melt = melt(comp_data, id.vars = c("time", "sim_data_low_Q",
"sim_data_high_Q"))
p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = sim_data_low_Q,
ymax = sim_data_high_Q), fill = "grey70") +
geom_line(aes(x = time, y = value, color = variable)) +
geom_point(aes(x = time, y = value, color = variable), size = 3) +
rahul_theme +
theme_white_background +
median_legend_lab + rahul_man_figure_theme +
xlab("Days since March 1, 2020")+
ylab("Observed Daily Cases")
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/MIF_Run_1/cases_over_time_simulation_from_ML_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = log(sim_data_low_Q),
ymax = log(sim_data_high_Q)), fill = "grey70") +
geom_line(aes(x = time, y = log(value), color = variable)) +
geom_point(aes(x = time, y = log(value), color = variable), size = 3) +
rahul_theme +
theme_white_background +
median_legend_lab_with_fit_data + rahul_man_figure_theme +
xlab("Days since March 1, 2020")+
ylab("log(Observed Daily Cases)")
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/MIF_Run_1/log_cases_over_time_simulation_from_ML_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = log(sim_data_low_Q),
ymax = log(sim_data_high_Q)), fill = "grey70") +
geom_line(aes(x = time, y = log(value), color = variable)) +
geom_point(aes(x = time, y = log(value), color = variable),
size = 3) +
rahul_theme +
theme_white_background +
median_legend_lab_with_fit_data +rahul_man_figure_theme+
xlab("Days since March 1, 2020")+
ylab("log(Daily Reported Cases)")
p
S over N
sim_data$S_over_N = sim_data$S/sim_data$N
sim_data_S_over_N_median = aggregate(S_over_N ~ time, sim_data, median)
sim_data_S_over_N_quant = aggregate(S_over_N ~ time, sim_data, quantile, probs = c(0.025, 0.975))
sim_data_S_over_N_quant$S_over_N = as.data.frame(sim_data_S_over_N_quant$S_over_N)
colnames(sim_data_S_over_N_quant$S_over_N) = c("Q2.5", "Q97.5")
comp_data = data.frame(time = sim_data_S_over_N_median$time,
sim_data_median = sim_data_S_over_N_median$S_over_N,
sim_data_low_Q = sim_data_S_over_N_quant$S_over_N$Q2.5,
sim_data_high_Q = sim_data_S_over_N_quant$S_over_N$Q97.5)
comp_data_melt = melt(comp_data, id.vars = c("time", "sim_data_low_Q",
"sim_data_high_Q"))
p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = sim_data_low_Q,
ymax = sim_data_high_Q), fill = "grey70") +
geom_line(aes(x = time, y = value, color = variable)) +
geom_point(aes(x = time, y = value, color = variable), size = 3) +
rahul_theme +
theme_white_background +
median_legend_lab + rahul_man_figure_theme +
xlab("Days since March 1, 2020")+
ylab("S over N")
p
png("../Figures/Profiles/N_13_Model/MLE_S_over_N.png")
print(p)
dev.off()## quartz_off_screen
## 2Specific trajectories (S/N MLE parameter combination)
select_trajectories = filter(sim_data, .id %in% seq(from = 5, to = 10))
select_trajectories = dplyr::select(select_trajectories, time, .id, S, N)
select_trajectories = select_trajectories %>%
mutate(S_over_N = S/N)
select_trajectories = select_trajectories %>%
dplyr::select(-S, -N)
select_trajectories$type = "Sim"
library(RColorBrewer)
full_blue_pallete = brewer.pal(9, "Blues")
sim_traj_pallete = full_blue_pallete[9:4]
sim_traj_scale = scale_color_manual(name = "Legend", values = c( sim_traj_pallete), labels = c("Sim_Traj_1", "Sim_Traj_2", "Sim_Traj_3", "Sim_Traj_4", "Sim_Traj_5", "Sim_Traj_6"))
p = ggplot(data = select_trajectories,
aes(x = time, y = S_over_N, color = .id)) + geom_point(size = 2) + geom_line(aes(group = .id)) + rahul_theme + rahul_man_figure_theme + theme_white_background +
sim_traj_scale
p
png("../Figures/Profiles/N_13_Model/MIF_Run_1/Specific_traj_S_over_N_MLE.png")
print(p)
dev.off()## quartz_off_screen
## 2R over N (MLE parameter combination)
sim_data$R_over_N = (sim_data$R_A +sim_data$R_F + sim_data$R_H)/sim_data$N
sim_data_R_over_N_median = aggregate(R_over_N ~ time, sim_data, median)
sim_data_R_over_N_quant = aggregate(R_over_N ~ time, sim_data, quantile, probs = c(0.025, 0.975))
sim_data_R_over_N_quant$R_over_N = as.data.frame(sim_data_R_over_N_quant$R_over_N)
colnames(sim_data_R_over_N_quant$R_over_N) = c("Q2.5", "Q97.5")
comp_data = data.frame(time = sim_data_R_over_N_median$time,
sim_data_median = sim_data_R_over_N_median$R_over_N,
sim_data_low_Q = sim_data_R_over_N_quant$R_over_N$Q2.5,
sim_data_high_Q = sim_data_R_over_N_quant$R_over_N$Q97.5)
comp_data_melt = melt(comp_data, id.vars = c("time", "sim_data_low_Q",
"sim_data_high_Q"))
p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = sim_data_low_Q,
ymax = sim_data_high_Q), fill = "grey70") +
geom_line(aes(x = time, y = value, color = variable)) +
geom_point(aes(x = time, y = value, color = variable), size = 3) +
rahul_theme +
theme_white_background +
median_legend_lab + rahul_man_figure_theme +
xlab("Days since March 1, 2020")+
ylab("R over N")
p
png("../Figures/Profiles/N_13_Model/MLE_param_R_over_N.png")
print(p)
dev.off()## quartz_off_screen
## 2Specific trajectories (R/N MLE combination)
select_trajectories = filter(sim_data, .id %in% seq(from = 5, to = 10))
select_trajectories = dplyr::select(select_trajectories, time, .id, R_A,R_F, R_H, N)
select_trajectories = select_trajectories %>%
mutate(R_over_N = (R_A + R_H + R_F)/N)
select_trajectories = select_trajectories %>%
dplyr::select(-R_A, -R_H, -R_F, -N)
select_trajectories$type = "Sim"
library(RColorBrewer)
full_blue_pallete = brewer.pal(9, "Blues")
sim_traj_pallete = full_blue_pallete[9:4]
sim_traj_scale = scale_color_manual(name = "Legend", values = c( sim_traj_pallete), labels = c("Sim_Traj_1", "Sim_Traj_2", "Sim_Traj_3", "Sim_Traj_4", "Sim_Traj_5", "Sim_Traj_6"))
p = ggplot(data = select_trajectories,
aes(x = time, y = R_over_N, color = .id)) + geom_point(size = 2) + geom_line(aes(group = .id)) + rahul_theme + rahul_man_figure_theme + theme_white_background +
sim_traj_scale
p
png("../Figures/Profiles/N_13_Model/MIF_Run_1/Specific_traj_R_over_N_MLE_comb.png")
print(p)
dev.off()## quartz_off_screen
## 2Compare R/N with anitbody data (MLE parameter combination)
p = ggplot() +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = sim_data_low_Q,
ymax = sim_data_high_Q), fill = "grey70") +
geom_line(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
geom_point(data = comp_data_melt,
aes(x = time, y = value, color = variable), size = 3) +
rahul_theme +
theme_white_background +
median_legend_lab + rahul_man_figure_theme +
xlab("Days since March 1, 2020")+
ylab("R over N") +
geom_ribbon(data = nyc_antibdoy_df,aes(x = times, ymin = lower_CI,
ymax = upper_CI),
fill = 'grey70',
alpha = 0.7) +
geom_point(data = nyc_antibdoy_df,
aes(x = times, y = Prop_Positive), color = 'blue') +
geom_line(data = nyc_antibdoy_df,
aes(x = times, y = Prop_Positive), color = 'blue')
p
png("../Figures/Profiles/N_13_Model/MLE_param_R_over_N_vs_anitbody_test.png")
print(p)
dev.off()## quartz_off_screen
## 2Simulate trajectories from small p_S param
We simulate 100 stochastic trajectories (both process and environmental noise) from the overall MLE for the baseline model. We calculate the mean and the 2.5\(\%\) and 97.5\(\%\) quantile for values of the trajectories.
##Simulation from ML
sim_data = simulate(nsim = 100,
seed = 12345,
times = Observed_data$times,
t0 = t0,
rprocess = pomp::euler(rproc,delta.t = 1),
params = small_p_S_param_combo,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
partrans = par_trans,
covar = covar,
format = "data.frame")
#head(sim_data)
sim_data_median_Y = aggregate(Y ~ time, sim_data, median)
sim_data_quant = aggregate(Y ~ time, sim_data, quantile, probs = c(0.025, 0.975))
sim_data_quant$Y = as.data.frame(sim_data_quant$Y)
colnames(sim_data_quant$Y) = c("Q2.5", "Q97.5")Compare simulated trajectories with that of real data
The plots below show the real observed dengue case trajectory versus the mean and 2.5\(\%\) and 97.5\(\%\) quantile from the stochastic simulation of the baseline model MLE.
comp_data = data.frame(time = sim_data_median_Y$time,
sim_data_median = sim_data_median_Y$Y,
sim_data_low_Q = sim_data_quant$Y$Q2.5,
sim_data_high_Q = sim_data_quant$Y$Q97.5,
true_data = Observed_data$Y)
comp_data_melt = melt(comp_data, id.vars = c("time", "sim_data_low_Q",
"sim_data_high_Q"))
p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = sim_data_low_Q,
ymax = sim_data_high_Q), fill = "grey70") +
geom_line(aes(x = time, y = value, color = variable)) +
geom_point(aes(x = time, y = value, color = variable), size = 3) +
rahul_theme +
theme_white_background +
median_legend_lab + rahul_man_figure_theme +
xlab("Days since March 1, 2020")+
ylab("Observed Daily Cases")
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/MIF_Run_1/cases_over_time_simulation_from_small_p_S_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = log(sim_data_low_Q),
ymax = log(sim_data_high_Q)), fill = "grey70") +
geom_line(aes(x = time, y = log(value), color = variable)) +
geom_point(aes(x = time, y = log(value), color = variable), size = 3) +
rahul_theme +
theme_white_background +
median_legend_lab_with_fit_data + rahul_man_figure_theme +
xlab("Days since March 1, 2020")+
ylab("log(Observed Daily Cases)")
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/MIF_Run_1/log_cases_over_time_simulation_from_small_p_S_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = log(sim_data_low_Q),
ymax = log(sim_data_high_Q)), fill = "grey70") +
geom_line(aes(x = time, y = log(value), color = variable)) +
geom_point(aes(x = time, y = log(value), color = variable),
size = 3) +
rahul_theme +
theme_white_background +
median_legend_lab_with_fit_data +rahul_man_figure_theme+
xlab("Days since March 1, 2020")+
ylab("log(Daily Reported Cases)")
p
S over N
sim_data$S_over_N = sim_data$S/sim_data$N
sim_data_S_over_N_median = aggregate(S_over_N ~ time, sim_data, median)
sim_data_S_over_N_quant = aggregate(S_over_N ~ time, sim_data, quantile, probs = c(0.025, 0.975))
sim_data_S_over_N_quant$S_over_N = as.data.frame(sim_data_S_over_N_quant$S_over_N)
colnames(sim_data_S_over_N_quant$S_over_N) = c("Q2.5", "Q97.5")
comp_data = data.frame(time = sim_data_S_over_N_median$time,
sim_data_median = sim_data_S_over_N_median$S_over_N,
sim_data_low_Q = sim_data_S_over_N_quant$S_over_N$Q2.5,
sim_data_high_Q = sim_data_S_over_N_quant$S_over_N$Q97.5)
comp_data_melt = melt(comp_data, id.vars = c("time", "sim_data_low_Q",
"sim_data_high_Q"))
p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = sim_data_low_Q,
ymax = sim_data_high_Q), fill = "grey70") +
geom_line(aes(x = time, y = value, color = variable)) +
geom_point(aes(x = time, y = value, color = variable), size = 3) +
rahul_theme +
theme_white_background +
median_legend_lab + rahul_man_figure_theme +
xlab("Days since March 1, 2020")+
ylab("S over N")
p
png("../Figures/Profiles/N_13_Model/Small_E_0_param_S_over_N.png")
print(p)
dev.off()## quartz_off_screen
## 2Specific trajectories (S/N small p_s_param combination)
select_trajectories = filter(sim_data, .id %in% seq(from = 5, to = 10))
select_trajectories = dplyr::select(select_trajectories, time, .id, S, N)
select_trajectories = select_trajectories %>%
mutate(S_over_N = S/N)
select_trajectories = select_trajectories %>%
dplyr::select(-S, -N)
select_trajectories$type = "Sim"
library(RColorBrewer)
full_blue_pallete = brewer.pal(9, "Blues")
sim_traj_pallete = full_blue_pallete[9:4]
sim_traj_scale = scale_color_manual(name = "Legend", values = c( sim_traj_pallete), labels = c("Sim_Traj_1", "Sim_Traj_2", "Sim_Traj_3", "Sim_Traj_4", "Sim_Traj_5", "Sim_Traj_6"))
p = ggplot(data = select_trajectories,
aes(x = time, y = S_over_N, color = .id)) + geom_point(size = 2) + geom_line(aes(group = .id)) + rahul_theme + rahul_man_figure_theme + theme_white_background +
sim_traj_scale
p
png("../Figures/Profiles/N_13_Model/MIF_Run_1/Specific_traj_S_over_N_small_p_S_comb.png")
print(p)
dev.off()## quartz_off_screen
## 2R over N (small \(p_S\) parameter combination)
sim_data$R_over_N = (sim_data$R_A +sim_data$R_F + sim_data$R_H)/sim_data$N
sim_data_R_over_N_median = aggregate(R_over_N ~ time, sim_data, median)
sim_data_R_over_N_quant = aggregate(R_over_N ~ time, sim_data, quantile, probs = c(0.025, 0.975))
sim_data_R_over_N_quant$R_over_N = as.data.frame(sim_data_R_over_N_quant$R_over_N)
colnames(sim_data_R_over_N_quant$R_over_N) = c("Q2.5", "Q97.5")
comp_data = data.frame(time = sim_data_R_over_N_median$time,
sim_data_median = sim_data_R_over_N_median$R_over_N,
sim_data_low_Q = sim_data_R_over_N_quant$R_over_N$Q2.5,
sim_data_high_Q = sim_data_R_over_N_quant$R_over_N$Q97.5)
comp_data_melt = melt(comp_data, id.vars = c("time", "sim_data_low_Q",
"sim_data_high_Q"))
p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = sim_data_low_Q,
ymax = sim_data_high_Q), fill = "grey70") +
geom_line(aes(x = time, y = value, color = variable)) +
geom_point(aes(x = time, y = value, color = variable), size = 3) +
rahul_theme +
theme_white_background +
median_legend_lab + rahul_man_figure_theme +
xlab("Days since March 1, 2020")+
ylab("R over N")
p
png("../Figures/Profiles/N_13_Model/Small_p_S_param_R_over_N.png")
print(p)
dev.off()## quartz_off_screen
## 2Specific trajectories (R/N small p_s_parameter combination)
select_trajectories = filter(sim_data, .id %in% seq(from = 5, to = 10))
select_trajectories = dplyr::select(select_trajectories, time, .id, R_A,R_F, R_H, N)
select_trajectories = select_trajectories %>%
mutate(R_over_N = (R_A + R_H + R_F)/N)
select_trajectories = select_trajectories %>%
dplyr::select(-R_A, -R_H, -R_F, -N)
select_trajectories$type = "Sim"
library(RColorBrewer)
full_blue_pallete = brewer.pal(9, "Blues")
sim_traj_pallete = full_blue_pallete[9:4]
sim_traj_scale = scale_color_manual(name = "Legend", values = c( sim_traj_pallete), labels = c("Sim_Traj_1", "Sim_Traj_2", "Sim_Traj_3", "Sim_Traj_4", "Sim_Traj_5", "Sim_Traj_6"))
p = ggplot(data = select_trajectories,
aes(x = time, y = R_over_N, color = .id)) + geom_point(size = 2) + geom_line(aes(group = .id)) + rahul_theme + rahul_man_figure_theme + theme_white_background +
sim_traj_scale
p
png("../Figures/Profiles/N_13_Model/MIF_Run_1/Specific_traj_R_over_N_small_p_S_comb.png")
print(p)
dev.off()## quartz_off_screen
## 2Compare R/N with anitbody data (small \(p_S\) parameter combination)
p = ggplot() +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = sim_data_low_Q,
ymax = sim_data_high_Q), fill = "grey70") +
geom_line(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
geom_point(data = comp_data_melt,
aes(x = time, y = value, color = variable), size = 3) +
rahul_theme +
theme_white_background +
median_legend_lab + rahul_man_figure_theme +
xlab("Days since March 1, 2020")+
ylab("R over N") +
geom_ribbon(data = nyc_antibdoy_df,aes(x = times, ymin = lower_CI,
ymax = upper_CI),
fill = 'grey70',
alpha = 0.7) +
geom_point(data = nyc_antibdoy_df,
aes(x = times, y = Prop_Positive), color = 'blue') +
geom_line(data = nyc_antibdoy_df,
aes(x = times, y = Prop_Positive), color = 'blue')
p
png("../Figures/Profiles/N_13_Model/Small_p_S_param_R_over_N_vs_anitbody_test.png")
print(p)
dev.off()## quartz_off_screen
## 2Top 2LL Simluation (TBD)
Combine output subsets
head(top_2_LL_end_params)## M_0 V_0 K_0 R_0 b_q b_a b_p p_S p_H_cond_S phi_E
## 1 5 13 14 3.679313 0.1538462 0 0.8966200 0.6523143 0.1393404 1.09
## 2 5 13 14 4.767478 0.1719367 0 0.9268635 0.3972039 0.1539509 1.09
## 3 5 13 14 4.049382 0.1527859 0 0.9093617 0.5781783 0.1972815 1.09
## 4 5 13 14 4.722008 0.1810861 0 0.9328863 0.3896601 0.1678272 1.09
## 5 5 13 14 4.750832 0.1815062 0 0.9856728 0.3671275 0.1703180 1.09
## 6 5 13 14 5.903585 0.1541930 0 0.6198971 0.3949763 0.1860173 1.09
## phi_U phi_S h_V gamma N_0 E_0 z_0 C_0
## 1 1.09 0.2 0.125 3.988752 8e+06 13360.01 3789.752 0
## 2 1.09 0.2 0.125 9.407815 8e+06 21883.00 5463.510 0
## 3 1.09 0.2 0.125 6.958816 8e+06 16163.19 2458.504 0
## 4 1.09 0.2 0.125 4.543150 8e+06 25240.80 4456.620 0
## 5 1.09 0.2 0.125 6.454186 8e+06 26676.52 4644.337 0
## 6 1.09 0.2 0.125 10.682231 8e+06 22076.33 4358.848 0
## social_distancing_start_time quarantine_start_time PCR_sens sigma_M
## 1 17 22 0.9 0.2765503
## 2 17 22 0.9 0.2766902
## 3 17 22 0.9 0.2795231
## 4 17 22 0.9 0.2750306
## 5 17 22 0.9 0.2774766
## 6 17 22 0.9 0.2779397
## beta_w_3 beta_w_2 beta_w_1 beta_w_0 g_0 g_F sigma_epsilon
## 1 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 2 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 3 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 4 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 5 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 6 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## G_w_y_scaling msg iter_num param_index loglik nfail trace_num
## 1 0.162 mif1 8 1 -1.8958477 NA NA
## 2 0.162 mif1 13 1 -1.2523767 NA NA
## 3 0.162 mif1 14 1 -1.5132042 NA NA
## 4 0.162 mif1 25 1 -0.8201274 NA NA
## 5 0.162 mif1 29 1 -0.8559713 NA NA
## 6 0.162 mif1 34 1 -1.2015147 NA NA
## loglist.se
## 1 0.010615318
## 2 0.009420348
## 3 0.009007315
## 4 0.008978681
## 5 0.007001139
## 6 0.005693372top_2_LL_end_with_antibody_LL =
data.frame(matrix(nrow = 0,
ncol = ncol(top_2_LL_end_params) + 3))
colnames(top_2_LL_end_with_antibody_LL) =
c(colnames(top_2_LL_end_params), "Antibody_Mean_LL", "Antibody_LL_SE","Median_Herd_Immunity")
top_2_LL_all_combo_data = data.frame(matrix(nrow = 0, ncol = 5))
colnames(top_2_LL_all_combo_data) = c("time", "sim_data_median ", "sim_data_low_Q",
"sim_data_high_Q","combo_num")
top_2_LL_all_combo_S_data = data.frame(matrix(nrow = 0, ncol = 5))
colnames(top_2_LL_all_combo_S_data) = c("time", "sim_data_S_over_N_median ", "sim_data_S_over_N_low_Q",
"sim_data_S_over_N_high_Q","combo_num")
top_2_LL_all_combo_C_Q1_data = data.frame(matrix(nrow = 0, ncol = 5))
colnames(top_2_LL_all_combo_C_Q1_data) = c("time", "sim_data_C_Q1_median ", "sim_data_C_Q1_low_Q",
"sim_data_C_Q1_high_Q","combo_num")
top_2_LL_all_combo_R_data = data.frame(matrix(nrow = 0, ncol = 5))
colnames(top_2_LL_all_combo_R_data) = c("time", "sim_data_R_over_N_median ", "sim_data_R_over_N_low_Q",
"sim_data_R_over_N_high_Q","combo_num")
midway_max_jobs = 500
group_size = nrow(top_2_LL_end_params) / midway_max_jobs
for(param_index in seq(1:midway_max_jobs)){
if(param_index %% 50 == 0){
print(param_index)
}
load(file = paste0("../Generated_Data/Profiles/",
model_name, "_Model/Antibody_LL_Param_Subsets/",
model_name, "_Model_top_2_LL_all_params_top_2_LL_subset_",
param_index, ".RData"))
top_2_LL_end_with_antibody_LL = rbind(top_2_LL_end_with_antibody_LL,
top_2_LL_end_subset_with_antibody_LL)
load(
file = paste0(
"../Generated_Data/Profiles/",
model_name, "_Model/C_Q1_Subsets/",model_name,
"_Model_top_2_LL_all_params_top_2_LL_subset_",
param_index, ".RData"))
top_2_LL_all_combo_C_Q1_data = rbind(top_2_LL_all_combo_C_Q1_data,
all_combo_C_Q1_data)
load(file = paste0(
"../Generated_Data/Profiles/",
model_name, "_Model/R_over_N_Subsets/",
model_name, "_Model_top_2_LL_all_params_sim_R_over_N_data_subset_",
param_index, ".RData"
))
top_2_LL_all_combo_R_data = rbind(top_2_LL_all_combo_R_data,
all_combo_R_data)
load(file = paste0(
"../Generated_Data/Profiles/",
model_name, "_Model/S_over_N_Subsets/",
model_name, "_Model_top_2_LL_all_params_sim_S_over_N_data_subset_",
param_index, ".RData"
))
top_2_LL_all_combo_S_data = rbind(top_2_LL_all_combo_S_data,
all_combo_S_data)
load(file = paste0(
"../Generated_Data/Profiles/",
model_name, "_Model/combo_data_Subsets/",model_name,
"_Model_top_2_LL_all_params_sim_cases_data_subset_",
param_index, ".RData"))
top_2_LL_all_combo_data = rbind(top_2_LL_all_combo_data,
all_combo_data)
}## [1] 50
## [1] 100
## [1] 150
## [1] 200
## [1] 250
## [1] 300
## [1] 350
## [1] 400
## [1] 450
## [1] 500save(top_2_LL_all_combo_data,file = paste0("../Generated_Data/Profiles/",
model_name, "_Model/top_2_LL_data/",model_name,
"_Model_top_2_LL_all_params_sim_cases_data.RData"))
save(top_2_LL_all_combo_S_data,file = paste0("../Generated_Data/Profiles/",
model_name, "_Model/top_2_LL_data/",model_name,
"_Model_top_2_LL_all_params_sim_S_over_N_data.RData"))
save(top_2_LL_all_combo_R_data,file = paste0("../Generated_Data/Profiles/",
model_name, "_Model/top_2_LL_data/",model_name,
"_Model_top_2_LL_all_params_sim_R_over_N_data.RData"))
save(top_2_LL_all_combo_C_Q1_data,file = paste0("../Generated_Data/Profiles/",
model_name, "_Model/top_2_LL_data/",model_name,
"_Model_top_2_LL_all_params_sim_C_Q_1_data.RData"))
save(top_2_LL_end_with_antibody_LL,file = paste0("../Generated_Data/Profiles/",
model_name, "_Model/top_2_LL_data/",model_name,
"_Model_top_2_LL_all_params_with_antibody_LL.RData"))Calculate R_0 NGM for top_2_LL
\[\begin{equation} R_{0_{NGM}} = \frac{\beta_P}{\phi_U} + \frac{\beta_A (1-p_S)}{\phi_S} + \frac{\beta p_S}{\phi_S} + \frac{\beta (1-p_{\text{H_cond_S}}) p_S}{\gamma} \end{equation}\]
In terms of model parameters: \[\begin{equation} R_{0_{NGM}} = \frac{\beta*b_p}{\phi_U} + \frac{\beta*b_a (1-p_S)}{\phi_S} + \frac{\beta p_S}{\phi_S} + \frac{\beta (1-p_{\text{H_cond_S}}) p_S}{\gamma} \end{equation}\]
head(top_2_LL_end_with_antibody_LL)## M_0 V_0 K_0 R_0 b_q b_a b_p p_S p_H_cond_S phi_E
## 1 5 13 14 3.679313 0.1538462 0 0.8966200 0.6523143 0.1393404 1.09
## 2 5 13 14 4.767478 0.1719367 0 0.9268635 0.3972039 0.1539509 1.09
## 3 5 13 14 4.049382 0.1527859 0 0.9093617 0.5781783 0.1972815 1.09
## 4 5 13 14 4.722008 0.1810861 0 0.9328863 0.3896601 0.1678272 1.09
## 5 5 13 14 4.750832 0.1815062 0 0.9856728 0.3671275 0.1703180 1.09
## 6 5 13 14 5.903585 0.1541930 0 0.6198971 0.3949763 0.1860173 1.09
## phi_U phi_S h_V gamma N_0 E_0 z_0 C_0
## 1 1.09 0.2 0.125 3.988752 8e+06 13360.01 3789.752 0
## 2 1.09 0.2 0.125 9.407815 8e+06 21883.00 5463.510 0
## 3 1.09 0.2 0.125 6.958816 8e+06 16163.19 2458.504 0
## 4 1.09 0.2 0.125 4.543150 8e+06 25240.80 4456.620 0
## 5 1.09 0.2 0.125 6.454186 8e+06 26676.52 4644.337 0
## 6 1.09 0.2 0.125 10.682231 8e+06 22076.33 4358.848 0
## social_distancing_start_time quarantine_start_time PCR_sens sigma_M
## 1 17 22 0.9 0.2765503
## 2 17 22 0.9 0.2766902
## 3 17 22 0.9 0.2795231
## 4 17 22 0.9 0.2750306
## 5 17 22 0.9 0.2774766
## 6 17 22 0.9 0.2779397
## beta_w_3 beta_w_2 beta_w_1 beta_w_0 g_0 g_F sigma_epsilon
## 1 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 2 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 3 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 4 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 5 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 6 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## G_w_y_scaling msg iter_num param_index loglik nfail trace_num
## 1 0.162 mif1 8 1 -1.8958477 NA NA
## 2 0.162 mif1 13 1 -1.2523767 NA NA
## 3 0.162 mif1 14 1 -1.5132042 NA NA
## 4 0.162 mif1 25 1 -0.8201274 NA NA
## 5 0.162 mif1 29 1 -0.8559713 NA NA
## 6 0.162 mif1 34 1 -1.2015147 NA NA
## loglist.se Antibody_Mean_LL Antibody_LL_SE Median_Herd_Immunity
## 1 0.010615318 -124.46990 0.06843338 0.04687844
## 2 0.009420348 -76.36694 0.05547122 0.07647025
## 3 0.009007315 -112.34574 0.06847207 0.05407737
## 4 0.008978681 -74.39402 0.04413278 0.07804619
## 5 0.007001139 -67.57375 0.04783281 0.08460019
## 6 0.005693372 -76.68710 0.05053625 0.07648488
## combo_num sim_subset_index
## 1 1 1
## 2 2 1
## 3 3 1
## 4 4 1
## 5 5 1
## 6 6 1top_2_LL_end_with_antibody_LL$duration_of_symp_1 = 1/top_2_LL_end_with_antibody_LL$phi_S
top_2_LL_end_with_antibody_LL$duration_of_symp_2 = 1/top_2_LL_end_with_antibody_LL$gamma
top_2_LL_end_with_antibody_LL = top_2_LL_end_with_antibody_LL %>%
mutate(duration_of_symp = duration_of_symp_1 + duration_of_symp_2)
top_2_LL_end_with_antibody_LL$gamma_total = 1/top_2_LL_end_with_antibody_LL$duration_of_symp
top_2_LL_end_with_antibody_LL = top_2_LL_end_with_antibody_LL %>%
mutate(Beta = R_0*gamma_total)
top_2_LL_end_with_antibody_LL = top_2_LL_end_with_antibody_LL%>%
mutate(R_0_P = (Beta*b_p)/phi_U,
R_0_A = (Beta*b_a *(1-p_S))/phi_S,
R_0_S_1 = (Beta*p_S)/phi_S,
R_0_S_2 = (Beta*(1-p_H_cond_S)*p_S)/gamma)
top_2_LL_end_with_antibody_LL = top_2_LL_end_with_antibody_LL %>%
mutate(R_0_NGM = R_0_P + R_0_A + R_0_S_1 + R_0_S_2)
p = ggplot(data = top_2_LL_end_with_antibody_LL,
aes(x = R_0_NGM)) +
geom_density() +
rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/", model_name,
"_density_plot_of_R_0_NGM_for_all_parameter_combinations_within_2LL_of_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_with_antibody_LL,
aes(x = R_0_NGM)) +
geom_histogram() +
rahul_man_figure_theme
p## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
png(file = paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/", model_name,
"_histogram_of_R_0_NGM_for_all_parameter_combinations_within_2LL_of_MLE_fit_to_cases.png"))
print(p)## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_with_antibody_LL,
aes(x = R_0_A,
y = R_0_S_1 + R_0_S_2)) +
geom_point() +
rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/", model_name,
"_R_0_A_vs_R_0_S_for_all_parameter_combinations_within_2LL_of_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_with_antibody_LL,
aes(x = R_0,
y = R_0_NGM,
color = b_p)) +
geom_point() +
scale_color_viridis_c() +
rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/", model_name,
"_R_0_vs_R_0_NGM_for_all_parameter_combinations_within_2LL_of_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_with_antibody_LL,
aes(x = R_0,
y = R_0_S_1 + R_0_S_2)) +
geom_point() +
rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/", model_name,
"_R_0_vs_R_0_S_for_all_parameter_combinations_within_2LL_of_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_with_antibody_LL,
aes(x = R_0_NGM,
y = Antibody_Mean_LL)) +
geom_point() +
rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/", model_name,
"_R_0_NGM_vs_Likelihood_with_respect_to_antibody_for_all_parameter_combinations_within_2LL_of_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2head(top_2_LL_end_with_antibody_LL)## M_0 V_0 K_0 R_0 b_q b_a b_p p_S p_H_cond_S phi_E
## 1 5 13 14 3.679313 0.1538462 0 0.8966200 0.6523143 0.1393404 1.09
## 2 5 13 14 4.767478 0.1719367 0 0.9268635 0.3972039 0.1539509 1.09
## 3 5 13 14 4.049382 0.1527859 0 0.9093617 0.5781783 0.1972815 1.09
## 4 5 13 14 4.722008 0.1810861 0 0.9328863 0.3896601 0.1678272 1.09
## 5 5 13 14 4.750832 0.1815062 0 0.9856728 0.3671275 0.1703180 1.09
## 6 5 13 14 5.903585 0.1541930 0 0.6198971 0.3949763 0.1860173 1.09
## phi_U phi_S h_V gamma N_0 E_0 z_0 C_0
## 1 1.09 0.2 0.125 3.988752 8e+06 13360.01 3789.752 0
## 2 1.09 0.2 0.125 9.407815 8e+06 21883.00 5463.510 0
## 3 1.09 0.2 0.125 6.958816 8e+06 16163.19 2458.504 0
## 4 1.09 0.2 0.125 4.543150 8e+06 25240.80 4456.620 0
## 5 1.09 0.2 0.125 6.454186 8e+06 26676.52 4644.337 0
## 6 1.09 0.2 0.125 10.682231 8e+06 22076.33 4358.848 0
## social_distancing_start_time quarantine_start_time PCR_sens sigma_M
## 1 17 22 0.9 0.2765503
## 2 17 22 0.9 0.2766902
## 3 17 22 0.9 0.2795231
## 4 17 22 0.9 0.2750306
## 5 17 22 0.9 0.2774766
## 6 17 22 0.9 0.2779397
## beta_w_3 beta_w_2 beta_w_1 beta_w_0 g_0 g_F sigma_epsilon
## 1 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 2 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 3 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 4 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 5 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 6 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## G_w_y_scaling msg iter_num param_index loglik nfail trace_num
## 1 0.162 mif1 8 1 -1.8958477 NA NA
## 2 0.162 mif1 13 1 -1.2523767 NA NA
## 3 0.162 mif1 14 1 -1.5132042 NA NA
## 4 0.162 mif1 25 1 -0.8201274 NA NA
## 5 0.162 mif1 29 1 -0.8559713 NA NA
## 6 0.162 mif1 34 1 -1.2015147 NA NA
## loglist.se Antibody_Mean_LL Antibody_LL_SE Median_Herd_Immunity
## 1 0.010615318 -124.46990 0.06843338 0.04687844
## 2 0.009420348 -76.36694 0.05547122 0.07647025
## 3 0.009007315 -112.34574 0.06847207 0.05407737
## 4 0.008978681 -74.39402 0.04413278 0.07804619
## 5 0.007001139 -67.57375 0.04783281 0.08460019
## 6 0.005693372 -76.68710 0.05053625 0.07648488
## combo_num sim_subset_index duration_of_symp_1 duration_of_symp_2
## 1 1 1 5 0.25070495
## 2 2 1 5 0.10629461
## 3 3 1 5 0.14370260
## 4 4 1 5 0.22011161
## 5 5 1 5 0.15493822
## 6 6 1 5 0.09361341
## duration_of_symp gamma_total Beta R_0_P R_0_A R_0_S_1
## 1 5.250705 0.1904506 0.7007273 0.5764093 0 2.285472
## 2 5.106295 0.1958367 0.9336473 0.7939116 0 1.854242
## 3 5.143703 0.1944125 0.7872505 0.6567848 0 2.275856
## 4 5.220112 0.1915668 0.9045799 0.7741928 0 1.762393
## 5 5.154938 0.1939887 0.9216079 0.8333980 0 1.691738
## 6 5.093613 0.1963243 1.1590171 0.6591480 0 2.288921
## R_0_S_2 R_0_NGM
## 1 0.09862802 2.960510
## 2 0.03335057 2.681504
## 3 0.05250523 2.985146
## 4 0.06456383 2.601150
## 5 0.04349440 2.568630
## 6 0.03488302 2.982952p = ggplot(data = top_2_LL_end_with_antibody_LL,
aes(x = p_S,
y = Antibody_Mean_LL)) +
geom_point() + rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"p_S_vs_Antibody_LL_", model_name,
"_model_antibody_LL_from_top_2_cases_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_with_antibody_LL,
aes(x = p_S,
y = Median_Herd_Immunity)) +
geom_point() + rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"p_S_vs_herd_immunity_", model_name,
"_model_antibody_LL_from_top_2_cases_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_with_antibody_LL,
aes(x = R_0,
y = Antibody_Mean_LL)) +
geom_point() + rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"R_0_vs_Antibody_LL_", model_name,
"_model_antibody_LL_from_top_2_cases_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_with_antibody_LL,
aes(x = R_0,
y = Median_Herd_Immunity)) +
geom_point() + rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"p_S_vs_herd_immunity_", model_name,
"_model_antibody_LL_from_top_2_cases_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_with_antibody_LL,
aes(x = b_p,
y = Antibody_Mean_LL)) +
geom_point() + rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"b_p_vs_Antibody_LL_", model_name,
"_model_antibody_LL_from_top_2_cases_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_with_antibody_LL,
aes(x = b_p,
y = Median_Herd_Immunity)) +
geom_point() + rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"b_p_vs_herd_immunity_", model_name,
"_model_antibody_LL_from_top_2_cases_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_with_antibody_LL,
aes(x = Median_Herd_Immunity,
y = Antibody_Mean_LL)) +
geom_point() + rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"herd_immunity_vs_Antibody_Mean_LL_", model_name,
"_model_antibody_LL_from_top_2_cases_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2Isloate top 2LL of antibodyLL from top 2 LL of Model N_13 Initial Fit
antibody_top_2_LL_from_grid_cases_top_2_LL = top_2_LL_end_with_antibody_LL %>%
filter(Antibody_Mean_LL > max(Antibody_Mean_LL)-2)
nrow(antibody_top_2_LL_from_grid_cases_top_2_LL)## [1] 5p = ggplot(data = antibody_top_2_LL_from_grid_cases_top_2_LL,
aes(x = Median_Herd_Immunity,
y = Antibody_Mean_LL)) +
geom_point() + rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"herd_immunity_vs_Antibody_Mean_LL_", model_name,
"_model_top_2_antibody_LL_from_top_2_cases_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_grid_cases_top_2_LL,
aes(x = p_S,
y = Antibody_Mean_LL)) +
rahul_man_figure_theme + geom_point()
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"p_S_vs_antibody_LL_", model_name,
"_model_top_2_antibody_LL_from_top_2_cases_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_grid_cases_top_2_LL,
aes(x = p_S,
y = R_0)) +
rahul_man_figure_theme + geom_point()
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"p_S_vs_R_0_", model_name,
"_model_top_2_antibody_LL_from_top_2_cases_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_grid_cases_top_2_LL,
aes(x = b_p,
y = R_0)) +
rahul_man_figure_theme + geom_point()
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"b_p_vs_R_0_", model_name,
"_model_top_2_antibody_LL_from_top_2_cases_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_grid_cases_top_2_LL,
aes(x = R_0_NGM)) +
geom_histogram() +
rahul_man_figure_theme
p## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"R_0_NGM_histogram_", model_name,
"_model_top_2_antibody_LL_from_top_2_cases_LL.png"))
print(p)## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_grid_cases_top_2_LL,
aes(x = R_0_A,
y = R_0_S_1 + R_0_S_2)) +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"R_0_A_vs_R_0_S_", model_name,
"_model_top_2_antibody_LL_from_top_2_cases_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_grid_cases_top_2_LL,
aes(x = R_0,
y = R_0_NGM,
color = b_p)) +
geom_point() +
scale_color_viridis_c() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"R_0_vs_R_0_NGM_", model_name,
"_model_top_2_antibody_LL_from_top_2_cases_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_grid_cases_top_2_LL,
aes(x = R_0,
y = R_0_S_1+ R_0_S_2)) +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"R_0_vs_R_0_S_", model_name,
"_model_top_2_antibody_LL_from_top_2_cases_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2R over N for top parameter combinations within 2LL when fit to antibody and case data
params_with_data = join(top_2_LL_all_combo_R_data,
top_2_LL_end_with_antibody_LL)## Joining by: combo_num, sim_subset_indexparams_with_data = join(params_with_data,
top_2_LL_all_combo_S_data)## Joining by: time, combo_num, sim_subset_indexparams_with_data = join(params_with_data,
top_2_LL_all_combo_C_Q1_data)## Joining by: time, combo_num, sim_subset_indexparams_with_data = join(params_with_data,
top_2_LL_all_combo_data)## Joining by: time, combo_num, sim_subset_indexantibody_top_2_LL_params_and_sim_data = params_with_data %>%
filter(Antibody_Mean_LL > max(Antibody_Mean_LL)-2)
#head(params_with_data)
all_combo_data_high_Q_max = aggregate(sim_data_R_over_N_high_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_high_Q_max = dplyr::select(all_combo_data_high_Q_max,
time = time,
all_combo_high_Q_max = sim_data_R_over_N_high_Q)
all_combo_data_low_Q_min = aggregate(sim_data_R_over_N_low_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_low_Q_min = dplyr::select(all_combo_data_low_Q_min,
time = time,
all_combo_low_Q_min = sim_data_R_over_N_low_Q)
all_combo_data_median_max = aggregate(sim_data_R_over_N_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_median_max = dplyr::select(all_combo_data_median_max,
time = time,
all_combo_median_max = sim_data_R_over_N_median)
all_combo_data_median_min = aggregate(sim_data_R_over_N_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_median_min = dplyr::select(all_combo_data_median_min,
time = time,
all_combo_median_min = sim_data_R_over_N_median)
ML_output = antibody_top_2_LL_params_and_sim_data %>%
filter(Antibody_Mean_LL == max(Antibody_Mean_LL))
ML_output = dplyr::select(ML_output, time = time,
ML_median = sim_data_R_over_N_median,
ML_high_Q = sim_data_R_over_N_high_Q,
ML_low_Q = sim_data_R_over_N_low_Q)
comp_data = join(ML_output, all_combo_data_high_Q_max)## Joining by: timecomp_data = join(comp_data, all_combo_data_low_Q_min)## Joining by: timecomp_data = join(comp_data, all_combo_data_median_min)## Joining by: timecomp_data = join(comp_data, all_combo_data_median_max)## Joining by: timecomp_data_melt = melt(comp_data, id.vars = c("time",
"ML_high_Q", "ML_low_Q",
"all_combo_high_Q_max",
"all_combo_low_Q_min",
"all_combo_median_min",
"all_combo_median_max"))
ML_Q_Rib_Col_lab = "95% Simulation Quantiles \n (MLE for antibody data)"
All_combo_Med_Rib_Col_lab = "Simulation Median \n (all 2 LL combinations (for antibody data))"
All_combo_Q_Rib_Col_lab = "95% Simulation Quantiles \n (all 2 LL combinations (for antibody data))"
comp_data_melt$ML_Q_Rib_Col = ML_Q_Rib_Col_lab
comp_data_melt$All_combo_Med_Rib_Col = All_combo_Med_Rib_Col_lab
comp_data_melt$All_combo_Q_Rib_Col = All_combo_Q_Rib_Col_lab
fill_vec = c("pink", "skyblue", "grey70")
names(fill_vec) = c(All_combo_Med_Rib_Col_lab, ML_Q_Rib_Col_lab, All_combo_Q_Rib_Col_lab)
p = ggplot() +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = all_combo_low_Q_min,
ymax = all_combo_high_Q_max, fill = All_combo_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = all_combo_median_min,
ymax = all_combo_median_max, fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = ML_low_Q,
ymax = ML_high_Q, fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
geom_line(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
geom_point(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red"),
labels =
c("Simulation Median \n (MLE)")) +
xlab("Days since March 1 2020")+
ylab(expression(paste(frac(R,N)))) +
geom_ribbon(data = nyc_antibdoy_df,aes(x = times, ymin = lower_CI,
ymax = upper_CI),
fill = 'blue',
alpha = 0.5) +
geom_point(data = nyc_antibdoy_df,
aes(x = times, y = Prop_Positive), color = 'blue') +
geom_line(data = nyc_antibdoy_df,
aes(x = times, y = Prop_Positive), color = 'blue')
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/top_2_LL_sim_plots/top_2_LL_via_antibody_comp_plots/Observed_Antibody_data_vs_Ribbon_Plot_R_over_N_over_time_simulation_from_all_params_2_LL_antibody_from_antibody_MLE_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2C_Q1
all_combo_data_high_Q_max = aggregate(sim_data_C_Q1_high_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_high_Q_max = dplyr::select(all_combo_data_high_Q_max,
time = time,
all_combo_high_Q_max = sim_data_C_Q1_high_Q)
all_combo_data_low_Q_min = aggregate(sim_data_C_Q1_low_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_low_Q_min = dplyr::select(all_combo_data_low_Q_min,
time = time,
all_combo_low_Q_min = sim_data_C_Q1_low_Q)
all_combo_data_median_max = aggregate(sim_data_C_Q1_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_median_max = dplyr::select(all_combo_data_median_max,
time = time,
all_combo_median_max = sim_data_C_Q1_median)
all_combo_data_median_min = aggregate(sim_data_C_Q1_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_median_min = dplyr::select(all_combo_data_median_min,
time = time,
all_combo_median_min = sim_data_C_Q1_median)
ML_output = antibody_top_2_LL_params_and_sim_data %>%
filter(Antibody_Mean_LL == max(Antibody_Mean_LL))
ML_output = dplyr::select(ML_output, time = time,
ML_median = sim_data_C_Q1_median,
ML_high_Q = sim_data_C_Q1_high_Q,
ML_low_Q = sim_data_C_Q1_low_Q)
comp_data = join(ML_output, all_combo_data_high_Q_max)## Joining by: timecomp_data = join(comp_data, all_combo_data_low_Q_min)## Joining by: timecomp_data = join(comp_data, all_combo_data_median_min)## Joining by: timecomp_data = join(comp_data, all_combo_data_median_max)## Joining by: timecomp_data_melt = melt(comp_data, id.vars = c("time",
"ML_high_Q", "ML_low_Q",
"all_combo_high_Q_max",
"all_combo_low_Q_min",
"all_combo_median_min",
"all_combo_median_max"))
ML_Q_Rib_Col_lab = "95% Simulation Quantiles \n (MLE)"
All_combo_Med_Rib_Col_lab = "Simulation Median \n (all 2 LL combinations)"
All_combo_Q_Rib_Col_lab = "95% Simulation Quantiles \n (all 2 LL combinations)"
comp_data_melt$ML_Q_Rib_Col = ML_Q_Rib_Col_lab
comp_data_melt$All_combo_Med_Rib_Col = All_combo_Med_Rib_Col_lab
comp_data_melt$All_combo_Q_Rib_Col = All_combo_Q_Rib_Col_lab
fill_vec = c("pink", "skyblue", "grey70")
names(fill_vec) = c(All_combo_Med_Rib_Col_lab, ML_Q_Rib_Col_lab, All_combo_Q_Rib_Col_lab)
hosp_comp_df = read.csv("../Generated_Data/hosp_comp_df.csv")
obs_hosp_df = hosp_comp_df %>%
filter(variable == "HOSPITALIZED_COUNT") %>%
dplyr::select(-Date, -Day_of_Week, time = times)
p = ggplot() +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = all_combo_low_Q_min,
ymax = all_combo_high_Q_max, fill = All_combo_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = all_combo_median_min,
ymax = all_combo_median_max, fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = ML_low_Q,
ymax = ML_high_Q, fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
geom_line(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
geom_point(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red"),
labels =
c("Simulation Median \n (MLE)")) +
xlab("Days since March 1 2020")+
ylab(expression(paste(C_Q1))) +
geom_point(data = obs_hosp_df, aes(x = time, y = value), color = 'blue') +
geom_line(data = obs_hosp_df, aes(x = time, y = value), color = 'blue')
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/top_2_LL_sim_plots/top_2_LL_via_antibody_comp_plots/Obs_COVID_hosp_cases_vs_Ribbon_Plot_C_Q1_over_time_simulation_from_all_params_2_LL_antibody_from_antibody_MLE_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2Compare to observed data
#all_combo_melt_data = melt(all_combo_data, id.vars = c("time", "combo_num"))
all_combo_data_high_Q_max = aggregate(sim_data_high_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_high_Q_max = dplyr::select(all_combo_data_high_Q_max,
time = time,
all_combo_high_Q_max = sim_data_high_Q)
all_combo_data_low_Q_min = aggregate(sim_data_low_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_low_Q_min = dplyr::select(all_combo_data_low_Q_min,
time = time,
all_combo_low_Q_min = sim_data_low_Q)
all_combo_data_median_max = aggregate(sim_data_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_median_max = dplyr::select(all_combo_data_median_max,
time = time,
all_combo_median_max = sim_data_median)
all_combo_data_median_min = aggregate(sim_data_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_median_min = dplyr::select(all_combo_data_median_min,
time = time,
all_combo_median_min = sim_data_median)
ML_output = antibody_top_2_LL_params_and_sim_data %>%
filter(Antibody_Mean_LL == max(Antibody_Mean_LL))
ML_output = dplyr::select(ML_output, time = time,
ML_median = sim_data_median,
ML_high_Q = sim_data_high_Q,
ML_low_Q = sim_data_low_Q)
comp_data = join(ML_output, all_combo_data_high_Q_max)## Joining by: time## Joining by: time
comp_data = join(comp_data, all_combo_data_low_Q_min)## Joining by: time## Joining by: time
comp_data = join(comp_data, all_combo_data_median_min)## Joining by: time## Joining by: time
comp_data = join(comp_data, all_combo_data_median_max)## Joining by: time## Joining by: time
true_data = dplyr::select(Observed_data, time = times,
Observed_Data = Y)
comp_data = join(comp_data, true_data)## Joining by: time## Joining by: time
comp_data_melt = melt(comp_data, id.vars = c("time",
"ML_high_Q", "ML_low_Q",
"all_combo_high_Q_max",
"all_combo_low_Q_min",
"all_combo_median_min",
"all_combo_median_max"))
comp_data_melt$ML_Q_Rib_Col = "95% Simulation Quantiles \n (MLE)"
comp_data_melt$All_combo_Med_Rib_Col = "Simulation Median \n (all 2 LL combinations)"
comp_data_melt$All_combo_Q_Rib_Col = "95% Simulation Quantiles \n (all 2 LL combinations)"
fill_vec = c("Simulation Median \n (all 2 LL combinations)" = "pink", "95% Simulation Quantiles \n (MLE)" = "skyblue", "95% Simulation Quantiles \n (all 2 LL combinations)" = "grey70")
p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = all_combo_low_Q_min,
ymax = all_combo_high_Q_max, fill = All_combo_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(aes(x = time, ymin = ML_low_Q,
ymax = ML_high_Q, fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(aes(x = time, ymin = all_combo_median_min,
ymax = all_combo_median_max, fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
geom_line(aes(x = time, y = value, color = variable)) +
geom_point(aes(x = time, y = value, color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red","blue"),
labels =
c("Simulation Median \n (MLE)",
"Observed",
"Data Used For Fitting")) +
xlab("Days since March 1 2020")+
ylab("Observed Monthly Cases")
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/top_2_LL_sim_plots/top_2_LL_via_antibody_comp_plots/Obs_daily_COVID_cases_vs_Ribbon_Plot_simulated_cases_over_time_simulation_from_all_params_2_LL_antibody_from_antibody_MLE_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = log(all_combo_low_Q_min),
ymax = log(all_combo_high_Q_max), fill = All_combo_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(aes(x = time, ymin = log(ML_low_Q),
ymax = log(ML_high_Q), fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(aes(x = time, ymin = log(all_combo_median_min),
ymax = log(all_combo_median_max), fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
geom_line(aes(x = time, y = log(value), color = variable)) +
geom_point(aes(x = time, y = log(value), color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red","blue"),
labels =
c("Simulation Median \n (MLE)",
"Observed",
"Data Used For Fitting")) +
xlab("Days since March 1 2020")+
ylab("Observed Monthly Cases")
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/top_2_LL_sim_plots/top_2_LL_via_antibody_comp_plots/log_Obs_daily_COVID_cases_vs_Ribbon_Plot_simulated_cases_over_time_simulation_from_all_params_2_LL_antibody_from_antibody_MLE_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2Get param grid box for profiles
#head(top_20_LL_end_params)
top_20_LL_box = top_20_LL_end_params %>%
filter(loglist.se < 2) %>%
sapply(range)
write.csv(top_20_LL_box, file = "../Generated_Data/Profile_Combination_Lists/N_13_Model/orignal_20_LL_param_box_from_1st_MIF_run.csv",
row.names = FALSE)Combine output from profiles
# ---- combine_profile_output ----
# Header ------------------------------------------------------------------
## Name: combine_profile_output.R
## Author: Rahul Subramanian
## Description: Combine MIF real profile output data into one big data frame
combine_profile_output = function(profile_var, model_name){
ptm = proc.time()
#profile_var = "I_S_0"
#args = commandArgs(trailingOnly=TRUE)
#profile_var = as.character(args[1])
print(profile_var)
###Load parameter list
pd = read.csv(file = paste0("../Generated_Data/Profile_Combination_Lists/",
model_name,"_Model/",profile_var,"_",
model_name,
"_profile_combination_list.csv"),
header = TRUE)
#head(pd)
mif_sim_combined_output_df = data.frame(
matrix(nrow = 0, ncol = ncol(pd) + 7)
)
colnames(mif_sim_combined_output_df) = c(colnames(pd), "LL")
colnames(mif_sim_combined_output_df) = c(colnames(pd),"msg", "iter_num", "param_index", "loglik", "nfail", "trace_num", "loglist.se")
midway_max_jobs = 500
for(param_index in seq(1:midway_max_jobs)){
#print(param_index)
input_file_name = paste0("../Generated_Data/Profiles/", model_name,
"_Model/",profile_var,"_Profile/Subset_Outputs/",profile_var,
"_", model_name,
"_Profile_subset_",param_index,".RData")
if(file.exists(input_file_name) == TRUE){
load(file = input_file_name)
mif_output_df_single_subset = res
}else{
group_size = nrow(pd)/midway_max_jobs
start_index = (param_index-1)*group_size + 1
end_index = param_index*group_size
Num_mif_runs_per_start = 1
param_data_subset_act = pd[start_index:end_index,]
param_data_subset = param_data_subset_act[rep(seq_len(nrow(param_data_subset_act)), each = Num_mif_runs_per_start),]
#param_data_subset$seed = NA;
param_data_subset$msg = NA
param_data_subset$iter_num = NA
param_data_subset$param_index = NA
param_data_subset$nfail = NA
param_data_subset$trace_num = NA
param_data_subset$loglik = NA
param_data_subset$loglist.se = NA
mif_output_df_single_subset = param_data_subset
}
#head(mif_output_df_single_subset)
mif_sim_combined_output_df = rbind(mif_sim_combined_output_df, mif_output_df_single_subset)
}
output_file_name = paste0("../Generated_Data/Profiles/", model_name,"_Model/", profile_var, "_Profile/",
profile_var, "_", model_name, "_profile_combined_data_including_traces_and_start.RData")
save(mif_sim_combined_output_df, file = output_file_name)
profile_data_no_traces_or_start = filter(mif_sim_combined_output_df,
msg == "mif1")
output_file_name = paste0("../Generated_Data/Profiles/", model_name,"_Model/", profile_var, "_Profile/",
profile_var, "_", model_name, "_profile_combined_data.csv")
write.csv(profile_data_no_traces_or_start, file = output_file_name, row.names=FALSE,na="")
}
combine_profile_output(profile_var = "G_w_y_scaling", model_name = model_name)## [1] "G_w_y_scaling"# combine_profile_output(profile_var = "z_0", model_name = model_name)
# combine_profile_output(profile_var = "E_0", model_name = model_name)
# combine_profile_output(profile_var = "R_0", model_name = model_name)
combine_profile_output(profile_var = "b_p", model_name = model_name)## [1] "b_p"# combine_profile_output(profile_var = "b_e", model_name = model_name)
# combine_profile_output(profile_var = "b_q", model_name = model_name)
# combine_profile_output(profile_var = "p_S", model_name = model_name)
# combine_profile_output(profile_var = "p_H_cond_S", model_name = model_name)
# combine_profile_output(profile_var = "gamma", model_name = model_name)
# combine_profile_output(profile_var = "sigma_M", model_name = model_name)Plotting function
plot_profiles = function(profile_var, model_name){
#Load results
profile_data = read.csv(file = paste0("../Generated_Data/Profiles/", model_name, "_Model/", profile_var, "_Profile/",
profile_var, "_", model_name, "_profile_combined_data.csv"))
#head(profile_data)
na_data = filter(profile_data, is.na(loglik) == TRUE)
print(paste("There are ", nrow(na_data), " entries with NA likelihoods"))
profile_data_clean = filter(profile_data, is.na(loglik) == FALSE)
ML = max(profile_data_clean$loglik)
cutoff_thres_20_LL_from_ML = ML - 20
p = ggplot(data = profile_data_clean, aes_string(x = eval(profile_var), y = "loglik")) + geom_point() + geom_hline(yintercept = cutoff_thres_20_LL_from_ML,
color = 'red')+
rahul_theme
print(p)
png(paste0("../Figures/Profiles/", model_name, "_Model/", profile_var, "_Profile/all_clean_data_points_",
profile_var,"_", model_name, "_profile.png"))
print(p)
dev.off()
cutoff_thres_2_LL_from_ML = ML - 2
### Take trace of profile (max at each value of profile variable)
profile_var_profile = aggregate(formula(paste0("loglik ~ ",eval(profile_var))), profile_data_clean, max)
#head(profile_var_profile)
p = ggplot(data = profile_var_profile, aes_string(x = eval(profile_var), y = "loglik")) +
geom_point() + geom_hline(yintercept = cutoff_thres_20_LL_from_ML, color = 'red') + rahul_theme
print(p)
png(paste0("../Figures/Profiles/", model_name, "_Model/", profile_var, "_Profile/full_",
profile_var, "_", model_name, "_profile.png"))
print(p)
dev.off()
top_20_LL_units = filter(profile_var_profile, loglik > cutoff_thres_20_LL_from_ML)
p = ggplot(data = top_20_LL_units, aes_string(x = eval(profile_var), y = "loglik")) +
geom_point() + geom_hline(yintercept = cutoff_thres_2_LL_from_ML,color = 'blue') +
rahul_theme
print(p)
png(paste0("../Figures/Profiles/", model_name, "_Model/", profile_var, "_Profile/20_LL_from_ML_",
profile_var, "_", model_name, "_profile.png"))
print(p)
dev.off()
}\(G_w_y_scaling\) Profile
plot_profiles(profile_var = "G_w_y_scaling", model_name = model_name)## [1] "There are 0 entries with NA likelihoods"
## quartz_off_screen
## 2Plot b_p profile
plot_profiles(profile_var = "b_p", model_name = model_name)## [1] "There are 0 entries with NA likelihoods"
## quartz_off_screen
## 2profile_var = "G_w_y_scaling"
profile_data= read.csv(file = paste0("../Generated_Data/Profiles/", model_name, "_Model/", profile_var, "_Profile/",
profile_var, "_", model_name, "_profile_combined_data.csv"))
profile_peak_data_G_w_y_scaling = profile_data %>%
filter(loglik > max(loglik)-2)
range(profile_peak_data_G_w_y_scaling$R_0)## [1] 3.732400 6.379071save(profile_peak_data_G_w_y_scaling, file = paste0("../Generated_Data/Profiles/",
model_name,
"_Model/G_w_y_scaling_Profile/top_2_LL_of_G_w_y_scaling_profile.RData"))
profile_peak_data_5LL = profile_data %>%
filter(loglik > max(loglik)-5)
range(profile_peak_data_G_w_y_scaling$R_0)## [1] 3.732400 6.379071source("Sim_G_w_y_scaling_profile_peak_Model_N_13.R")## [1] 1
## [1] 2
## [1] 3
## [1] 4
## [1] 5
## [1] 6
## [1] 7
## [1] 8
## [1] 9
## [1] 10R over N for top parameter combinations within 2LL when fit to antibody and case data (G_w_y_scaling Profile)
params_with_data = join(all_combo_R_data,
top_2_LL_end_subset_with_antibody_LL)## Joining by: combo_num, sim_subset_indexparams_with_data = join(params_with_data,
all_combo_S_data)## Joining by: time, combo_num, sim_subset_indexparams_with_data = join(params_with_data,
all_combo_C_Q1_data)## Joining by: time, combo_num, sim_subset_indexparams_with_data = join(params_with_data,
all_combo_data)## Joining by: time, combo_num, sim_subset_indexantibody_top_2_LL_params_and_sim_data = params_with_data %>%
filter(Antibody_Mean_LL > max(Antibody_Mean_LL)-2)
#head(params_with_data)
all_combo_data_high_Q_max = aggregate(sim_data_R_over_N_high_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_high_Q_max = dplyr::select(all_combo_data_high_Q_max,
time = time,
all_combo_high_Q_max = sim_data_R_over_N_high_Q)
all_combo_data_low_Q_min = aggregate(sim_data_R_over_N_low_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_low_Q_min = dplyr::select(all_combo_data_low_Q_min,
time = time,
all_combo_low_Q_min = sim_data_R_over_N_low_Q)
all_combo_data_median_max = aggregate(sim_data_R_over_N_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_median_max = dplyr::select(all_combo_data_median_max,
time = time,
all_combo_median_max = sim_data_R_over_N_median)
all_combo_data_median_min = aggregate(sim_data_R_over_N_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_median_min = dplyr::select(all_combo_data_median_min,
time = time,
all_combo_median_min = sim_data_R_over_N_median)
ML_output = antibody_top_2_LL_params_and_sim_data %>%
filter(Antibody_Mean_LL == max(Antibody_Mean_LL))
ML_output = dplyr::select(ML_output, time = time,
ML_median = sim_data_R_over_N_median,
ML_high_Q = sim_data_R_over_N_high_Q,
ML_low_Q = sim_data_R_over_N_low_Q)
comp_data = join(ML_output, all_combo_data_high_Q_max)## Joining by: timecomp_data = join(comp_data, all_combo_data_low_Q_min)## Joining by: timecomp_data = join(comp_data, all_combo_data_median_min)## Joining by: timecomp_data = join(comp_data, all_combo_data_median_max)## Joining by: timecomp_data_melt = melt(comp_data, id.vars = c("time",
"ML_high_Q", "ML_low_Q",
"all_combo_high_Q_max",
"all_combo_low_Q_min",
"all_combo_median_min",
"all_combo_median_max"))
ML_Q_Rib_Col_lab = "95% Simulation Quantiles \n (MLE for antibody data)"
All_combo_Med_Rib_Col_lab = "Simulation Median \n (all 2 LL combinations (for antibody data))"
All_combo_Q_Rib_Col_lab = "95% Simulation Quantiles \n (all 2 LL combinations (for antibody data))"
comp_data_melt$ML_Q_Rib_Col = ML_Q_Rib_Col_lab
comp_data_melt$All_combo_Med_Rib_Col = All_combo_Med_Rib_Col_lab
comp_data_melt$All_combo_Q_Rib_Col = All_combo_Q_Rib_Col_lab
fill_vec = c("pink", "skyblue", "grey70")
names(fill_vec) = c(All_combo_Med_Rib_Col_lab, ML_Q_Rib_Col_lab, All_combo_Q_Rib_Col_lab)
p = ggplot() +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = all_combo_low_Q_min,
ymax = all_combo_high_Q_max, fill = All_combo_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = all_combo_median_min,
ymax = all_combo_median_max, fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = ML_low_Q,
ymax = ML_high_Q, fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
geom_line(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
geom_point(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red"),
labels =
c("Simulation Median \n (MLE)")) +
xlab("Days since March 1 2020")+
ylab(expression(paste(frac(R,N)))) +
geom_ribbon(data = nyc_antibdoy_df,aes(x = times, ymin = lower_CI,
ymax = upper_CI),
fill = 'blue',
alpha = 0.5) +
geom_point(data = nyc_antibdoy_df,
aes(x = times, y = Prop_Positive), color = 'blue') +
geom_line(data = nyc_antibdoy_df,
aes(x = times, y = Prop_Positive), color = 'blue')
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/top_2_LL_sim_plots/top_2_LL_via_antibody_comp_plots/G_w_y_scaling_profile_Observed_Antibody_data_vs_Ribbon_Plot_R_over_N_over_time_simulation_from_G_w_y_scaling_profile__2_LL_antibody_from_antibody_G_w_y_scaling_profile_peak_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2C_Q1 (G_w_y_scaling Profile)
all_combo_data_high_Q_max = aggregate(sim_data_C_Q1_high_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_high_Q_max = dplyr::select(all_combo_data_high_Q_max,
time = time,
all_combo_high_Q_max = sim_data_C_Q1_high_Q)
all_combo_data_low_Q_min = aggregate(sim_data_C_Q1_low_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_low_Q_min = dplyr::select(all_combo_data_low_Q_min,
time = time,
all_combo_low_Q_min = sim_data_C_Q1_low_Q)
all_combo_data_median_max = aggregate(sim_data_C_Q1_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_median_max = dplyr::select(all_combo_data_median_max,
time = time,
all_combo_median_max = sim_data_C_Q1_median)
all_combo_data_median_min = aggregate(sim_data_C_Q1_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_median_min = dplyr::select(all_combo_data_median_min,
time = time,
all_combo_median_min = sim_data_C_Q1_median)
ML_output = antibody_top_2_LL_params_and_sim_data %>%
filter(Antibody_Mean_LL == max(Antibody_Mean_LL))
ML_output = dplyr::select(ML_output, time = time,
ML_median = sim_data_C_Q1_median,
ML_high_Q = sim_data_C_Q1_high_Q,
ML_low_Q = sim_data_C_Q1_low_Q)
comp_data = join(ML_output, all_combo_data_high_Q_max)## Joining by: timecomp_data = join(comp_data, all_combo_data_low_Q_min)## Joining by: timecomp_data = join(comp_data, all_combo_data_median_min)## Joining by: timecomp_data = join(comp_data, all_combo_data_median_max)## Joining by: timecomp_data_melt = melt(comp_data, id.vars = c("time",
"ML_high_Q", "ML_low_Q",
"all_combo_high_Q_max",
"all_combo_low_Q_min",
"all_combo_median_min",
"all_combo_median_max"))
ML_Q_Rib_Col_lab = "95% Simulation Quantiles \n (MLE)"
All_combo_Med_Rib_Col_lab = "Simulation Median \n (all 2 LL combinations)"
All_combo_Q_Rib_Col_lab = "95% Simulation Quantiles \n (all 2 LL combinations)"
comp_data_melt$ML_Q_Rib_Col = ML_Q_Rib_Col_lab
comp_data_melt$All_combo_Med_Rib_Col = All_combo_Med_Rib_Col_lab
comp_data_melt$All_combo_Q_Rib_Col = All_combo_Q_Rib_Col_lab
fill_vec = c("pink", "skyblue", "grey70")
names(fill_vec) = c(All_combo_Med_Rib_Col_lab, ML_Q_Rib_Col_lab, All_combo_Q_Rib_Col_lab)
hosp_comp_df = read.csv("../Generated_Data/hosp_comp_df.csv")
obs_hosp_df = hosp_comp_df %>%
filter(variable == "HOSPITALIZED_COUNT") %>%
dplyr::select(-Date, -Day_of_Week, time = times)
p = ggplot() +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = all_combo_low_Q_min,
ymax = all_combo_high_Q_max, fill = All_combo_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = all_combo_median_min,
ymax = all_combo_median_max, fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = ML_low_Q,
ymax = ML_high_Q, fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
geom_line(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
geom_point(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red"),
labels =
c("Simulation Median \n (MLE)")) +
xlab("Days since March 1 2020")+
ylab(expression(paste(C_Q1))) +
geom_point(data = obs_hosp_df, aes(x = time, y = value), color = 'blue') +
geom_line(data = obs_hosp_df, aes(x = time, y = value), color = 'blue')
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/top_2_LL_sim_plots/top_2_LL_via_antibody_comp_plots/G_w_y_scaling_profile_Obs_COVID_hosp_cases_vs_Ribbon_Plot_C_Q1_over_time_simulation_from_G_w_y_scaling_profile__2_LL_antibody_from_antibody_G_w_y_scaling_profile_peak_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2Compare to observed data (G_w_y_scaling Profile)
#all_combo_melt_data = melt(all_combo_data, id.vars = c("time", "combo_num"))
all_combo_data_high_Q_max = aggregate(sim_data_high_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_high_Q_max = dplyr::select(all_combo_data_high_Q_max,
time = time,
all_combo_high_Q_max = sim_data_high_Q)
all_combo_data_low_Q_min = aggregate(sim_data_low_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_low_Q_min = dplyr::select(all_combo_data_low_Q_min,
time = time,
all_combo_low_Q_min = sim_data_low_Q)
all_combo_data_median_max = aggregate(sim_data_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_median_max = dplyr::select(all_combo_data_median_max,
time = time,
all_combo_median_max = sim_data_median)
all_combo_data_median_min = aggregate(sim_data_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_median_min = dplyr::select(all_combo_data_median_min,
time = time,
all_combo_median_min = sim_data_median)
ML_output = antibody_top_2_LL_params_and_sim_data %>%
filter(Antibody_Mean_LL == max(Antibody_Mean_LL))
ML_output = dplyr::select(ML_output, time = time,
ML_median = sim_data_median,
ML_high_Q = sim_data_high_Q,
ML_low_Q = sim_data_low_Q)
comp_data = join(ML_output, all_combo_data_high_Q_max)## Joining by: time## Joining by: time
comp_data = join(comp_data, all_combo_data_low_Q_min)## Joining by: time## Joining by: time
comp_data = join(comp_data, all_combo_data_median_min)## Joining by: time## Joining by: time
comp_data = join(comp_data, all_combo_data_median_max)## Joining by: time## Joining by: time
true_data = dplyr::select(Observed_data, time = times,
Observed_Data = Y)
comp_data = join(comp_data, true_data)## Joining by: time## Joining by: time
comp_data_melt = melt(comp_data, id.vars = c("time",
"ML_high_Q", "ML_low_Q",
"all_combo_high_Q_max",
"all_combo_low_Q_min",
"all_combo_median_min",
"all_combo_median_max"))
comp_data_melt$ML_Q_Rib_Col = "95% Simulation Quantiles \n (MLE)"
comp_data_melt$All_combo_Med_Rib_Col = "Simulation Median \n (all 2 LL combinations)"
comp_data_melt$All_combo_Q_Rib_Col = "95% Simulation Quantiles \n (all 2 LL combinations)"
fill_vec = c("Simulation Median \n (all 2 LL combinations)" = "pink", "95% Simulation Quantiles \n (MLE)" = "skyblue", "95% Simulation Quantiles \n (all 2 LL combinations)" = "grey70")
p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = all_combo_low_Q_min,
ymax = all_combo_high_Q_max, fill = All_combo_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(aes(x = time, ymin = ML_low_Q,
ymax = ML_high_Q, fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(aes(x = time, ymin = all_combo_median_min,
ymax = all_combo_median_max, fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
geom_line(aes(x = time, y = value, color = variable)) +
geom_point(aes(x = time, y = value, color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red","blue"),
labels =
c("Simulation Median \n (MLE)",
"Observed",
"Data Used For Fitting")) +
xlab("Days since March 1 2020")+
ylab("Observed Monthly Cases")
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/top_2_LL_sim_plots/top_2_LL_via_antibody_comp_plots/G_w_y_scaling_profile_Obs_daily_COVID_cases_vs_Ribbon_Plot_simulated_cases_over_time_simulation_from_G_w_y_scaling_profile_2_LL_antibody_from_antibody_profile_peak_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = log(all_combo_low_Q_min),
ymax = log(all_combo_high_Q_max), fill = All_combo_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(aes(x = time, ymin = log(ML_low_Q),
ymax = log(ML_high_Q), fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(aes(x = time, ymin = log(all_combo_median_min),
ymax = log(all_combo_median_max), fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
geom_line(aes(x = time, y = log(value), color = variable)) +
geom_point(aes(x = time, y = log(value), color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red","blue"),
labels =
c("Simulation Median \n (MLE)",
"Observed",
"Data Used For Fitting")) +
xlab("Days since March 1 2020")+
ylab("Observed Monthly Cases")
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/top_2_LL_sim_plots/top_2_LL_via_antibody_comp_plots/G_w_y_scaling_profile_log_Obs_daily_COVID_cases_vs_Ribbon_Plot_simulated_cases_over_time_simulation_from_2_LL_antibody_from_antibody_profile_peak.png"))
print(p)
dev.off()## quartz_off_screen
## 2Profile Analysis Plots
p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = p_S,
y = Antibody_Mean_LL)) +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"p_S_vs_Antibody_LL_", model_name,
"_model_antibody_LL_from_G_w_y_scaling_Profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = b_a,
y = Antibody_Mean_LL)) +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"b_a_vs_Antibody_LL_", model_name,
"_model_antibody_LL_from_G_w_y_scaling_Profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = R_0,
y = Antibody_Mean_LL)) +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"R_0_vs_Antibody_LL_", model_name,
"_model_antibody_LL_from_G_w_y_scaling_Profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2head(top_2_LL_end_subset_with_antibody_LL)## G_w_y_scaling M_0 V_0 K_0 R_0 b_q b_a b_p
## 1 0.1137931 5 13 14 5.891618 0.2241855 0.02512294 0.9635089
## 2 0.1251724 5 13 14 5.428537 0.2066323 0.01320542 0.9471981
## 3 0.1251724 5 13 14 3.732400 0.1818479 0.63188729 0.9047564
## 4 0.1251724 5 13 14 6.379071 0.2177611 0.10322167 0.7836780
## 5 0.1251724 5 13 14 5.945615 0.1902499 0.06835627 0.7934388
## 6 0.1251724 5 13 14 4.516159 0.1872327 0.32703215 0.9462775
## p_S p_H_cond_S phi_E phi_U phi_S h_V gamma N_0 E_0
## 1 0.1819469 0.08987004 1.09 1.09 0.2 0.125 54.86157 8e+06 49423.39
## 2 0.2413377 0.08149646 1.09 1.09 0.2 0.125 442.76695 8e+06 38193.85
## 3 0.1422028 0.08512444 1.09 1.09 0.2 0.125 751.59601 8e+06 54805.64
## 4 0.1514374 0.07981727 1.09 1.09 0.2 0.125 2132.07600 8e+06 56418.20
## 5 0.2320457 0.08451899 1.09 1.09 0.2 0.125 481.86392 8e+06 36337.83
## 6 0.1831715 0.07618134 1.09 1.09 0.2 0.125 103.00774 8e+06 37687.26
## z_0 C_0 social_distancing_start_time quarantine_start_time PCR_sens
## 1 13047.17 0 17 22 0.9
## 2 10346.33 0 17 22 0.9
## 3 19124.14 0 17 22 0.9
## 4 20175.12 0 17 22 0.9
## 5 11285.98 0 17 22 0.9
## 6 20450.78 0 17 22 0.9
## sigma_M beta_w_3 beta_w_2 beta_w_1 beta_w_0 g_0 g_F
## 1 0.2750095 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005
## 2 0.2693116 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005
## 3 0.2698225 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005
## 4 0.2688573 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005
## 5 0.2660484 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005
## 6 0.2687327 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005
## sigma_epsilon msg iter_num param_index loglik nfail trace_num
## 1 109.1121 mif1 2 183 -626.2945 NA NA
## 2 109.1121 mif1 1 185 -624.9712 NA NA
## 3 109.1121 mif1 2 186 -625.4888 NA NA
## 4 109.1121 mif1 1 188 -624.7520 NA NA
## 5 109.1121 mif1 2 192 -625.1116 NA NA
## 6 109.1121 mif1 2 194 -625.6721 NA NA
## loglist.se Antibody_Mean_LL Antibody_LL_SE Median_Herd_Immunity
## 1 0.008354140 -27.71592 0.010814460 0.1645066
## 2 0.009424375 -38.93362 0.023108413 0.1255866
## 3 0.005148036 -24.56641 0.002768443 0.2135186
## 4 0.008912627 -24.38288 0.002695636 0.1983360
## 5 0.011638374 -37.10740 0.025060927 0.1302687
## 6 0.008162788 -27.58985 0.009175637 0.1627462
## combo_num sim_subset_index
## 1 1 1
## 2 2 1
## 3 3 1
## 4 4 1
## 5 5 1
## 6 6 1top_2_LL_end_subset_with_antibody_LL$duration_of_symp_1 = 1/top_2_LL_end_subset_with_antibody_LL$phi_S
top_2_LL_end_subset_with_antibody_LL$duration_of_symp_2 = 1/top_2_LL_end_subset_with_antibody_LL$gamma
top_2_LL_end_subset_with_antibody_LL = top_2_LL_end_subset_with_antibody_LL %>%
mutate(duration_of_symp = duration_of_symp_1 + duration_of_symp_2)
top_2_LL_end_subset_with_antibody_LL$gamma_total = 1/top_2_LL_end_subset_with_antibody_LL$duration_of_symp
top_2_LL_end_subset_with_antibody_LL = top_2_LL_end_subset_with_antibody_LL %>%
mutate(Beta = R_0*gamma_total)
top_2_LL_end_subset_with_antibody_LL = top_2_LL_end_subset_with_antibody_LL%>%
mutate(R_0_P = (Beta*b_p)/phi_U,
R_0_A = (Beta*b_a *(1-p_S))/phi_S,
R_0_S_1 = (Beta*p_S)/phi_S,
R_0_S_2 = (Beta*(1-p_H_cond_S)*p_S)/gamma)
top_2_LL_end_subset_with_antibody_LL = top_2_LL_end_subset_with_antibody_LL %>%
mutate(R_0_NGM = R_0_P + R_0_A + R_0_S_1 + R_0_S_2)
p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = R_0_NGM)) +
geom_histogram() + rahul_man_figure_theme
p## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
png(file = paste0("../Figures/Profiles/", model_name, "_Model/G_w_y_scaling_profile/", model_name,
"_G_w_y_scaling_profile_R_0_NGM_histogram_for_all_parameter_combinations_within_2LL_of_profile_MLE_fit_to_cases.png"))
print(p)## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = R_0,
y = R_0_NGM,
color = b_a)) +
scale_color_viridis_c() +
geom_point() + rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/G_w_y_scaling_profile/", model_name,
"_G_w_y_scaling_profile_R_0_vs_R_0_NGM_color_b_a_for_all_parameter_combinations_within_2LL_of_profile_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = R_0,
y = R_0_NGM,
color = b_p)) +
scale_color_viridis_c() +
geom_point() + rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/G_w_y_scaling_profile/", model_name,
"_G_w_y_scaling_profile_R_0_vs_R_0_NGM_color_b_p_for_all_parameter_combinations_within_2LL_of_profile_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = G_w_y_scaling,
y = R_0_NGM)) +
geom_point() + rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/G_w_y_scaling_profile/", model_name,
"_G_w_y_scaling_profile_G_w_y_scaling_vs_R_0_NGM_histogram_for_all_parameter_combinations_within_2LL_of_profile_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2antibody_top_2_LL_from_G_w_y_scaling_profile_top_2_LL =
top_2_LL_end_subset_with_antibody_LL %>%
filter(Antibody_Mean_LL > max(Antibody_Mean_LL)-2)
nrow(antibody_top_2_LL_from_G_w_y_scaling_profile_top_2_LL)## [1] 2range(antibody_top_2_LL_from_G_w_y_scaling_profile_top_2_LL$R_0)## [1] 3.732400 6.379071antibody_top_2_LL_from_G_w_y_scaling_profile_top_2_LL## G_w_y_scaling M_0 V_0 K_0 R_0 b_q b_a b_p
## 1 0.1251724 5 13 14 3.732400 0.1818479 0.6318873 0.9047564
## 2 0.1251724 5 13 14 6.379071 0.2177611 0.1032217 0.7836780
## p_S p_H_cond_S phi_E phi_U phi_S h_V gamma N_0 E_0
## 1 0.1422028 0.08512444 1.09 1.09 0.2 0.125 751.596 8e+06 54805.64
## 2 0.1514374 0.07981727 1.09 1.09 0.2 0.125 2132.076 8e+06 56418.20
## z_0 C_0 social_distancing_start_time quarantine_start_time PCR_sens
## 1 19124.14 0 17 22 0.9
## 2 20175.12 0 17 22 0.9
## sigma_M beta_w_3 beta_w_2 beta_w_1 beta_w_0 g_0 g_F
## 1 0.2698225 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005
## 2 0.2688573 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005
## sigma_epsilon msg iter_num param_index loglik nfail trace_num
## 1 109.1121 mif1 2 186 -625.4888 NA NA
## 2 109.1121 mif1 1 188 -624.7520 NA NA
## loglist.se Antibody_Mean_LL Antibody_LL_SE Median_Herd_Immunity
## 1 0.005148036 -24.56641 0.002768443 0.2135186
## 2 0.008912627 -24.38288 0.002695636 0.1983360
## combo_num sim_subset_index duration_of_symp_1 duration_of_symp_2
## 1 3 1 5 0.0013305020
## 2 4 1 5 0.0004690264
## duration_of_symp gamma_total Beta R_0_P R_0_A R_0_S_1
## 1 5.001331 0.1999468 0.7462814 0.6194522 2.0225390 0.5306165
## 2 5.000469 0.1999812 1.2756946 0.9171870 0.5586908 0.9659392
## R_0_S_2 R_0_NGM
## 1 1.291779e-04 3.172737
## 2 8.337795e-05 2.441900p = ggplot(data = antibody_top_2_LL_from_G_w_y_scaling_profile_top_2_LL,
aes(x = b_a,
y = R_0)) +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"b_a_vs_R_0_", model_name,
"_model_top_2_antibody_LL_from_G_w_y_scaling_profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_G_w_y_scaling_profile_top_2_LL,
aes(x = b_a,
y = log(R_0))) + geom_hline(yintercept = log(3), color = 'orange') +
geom_hline(yintercept = log(4), color = 'purple') +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"b_a_vs_log_R_0_", model_name,
"_model_top_2_antibody_LL_from_G_w_y_scaling_profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_G_w_y_scaling_profile_top_2_LL,
aes(x = b_p,
y = R_0)) +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"b_p_vs_R_0_", model_name,
"_model_top_2_antibody_LL_from_G_w_y_scaling_profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_G_w_y_scaling_profile_top_2_LL,
aes(x = b_q,
y = R_0)) +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"b_q_vs_R_0_", model_name,
"_model_top_2_antibody_LL_from_G_w_y_scaling_profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2antibody_top_2_LL_from_G_w_y_scaling_profile_top_2_LL$R_0_NGM## [1] 3.172737 2.441900p = ggplot(data = antibody_top_2_LL_from_G_w_y_scaling_profile_top_2_LL,
aes(x = R_0,
y = R_0_NGM)) +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"R_0_vs_R_0_NGM_", model_name,
"_model_top_2_antibody_LL_from_G_w_y_scaling_profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2b_p profile
profile_var = "b_p"
profile_data= read.csv(file = paste0("../Generated_Data/Profiles/", model_name, "_Model/", profile_var, "_Profile/",
profile_var, "_", model_name, "_profile_combined_data.csv"))
profile_peak_data_b_p = profile_data %>%
filter(loglik > max(loglik)-2)
range(profile_peak_data_b_p$R_0)## [1] 2.82019 23.92167save(profile_peak_data_b_p, file = paste0("../Generated_Data/Profiles/",
model_name,
"_Model/b_p_Profile/top_2_LL_of_b_p_profile.RData"))
profile_peak_data = profile_data %>%
filter(loglik > max(loglik)-5)
range(profile_peak_data$R_0)## [1] 2.331121 27.259132p = ggplot(data = profile_peak_data,
aes(x = G_w_y_scaling,
y = R_0)) +
geom_point() +
rahul_theme
p
p = ggplot(data = profile_peak_data,
aes(x = G_w_y_scaling,
y = p_S)) +
geom_point() +
rahul_theme
p
b_p profile peak
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## [1] 64R over N for top parameter combinations within 2LL when fit to antibody and case data (b_p Profile)
params_with_data = join(all_combo_R_data,
top_2_LL_end_subset_with_antibody_LL)## Joining by: combo_num, sim_subset_indexparams_with_data = join(params_with_data,
all_combo_S_data)## Joining by: time, combo_num, sim_subset_indexparams_with_data = join(params_with_data,
all_combo_C_Q1_data)## Joining by: time, combo_num, sim_subset_indexparams_with_data = join(params_with_data,
all_combo_data)## Joining by: time, combo_num, sim_subset_indexantibody_top_2_LL_params_and_sim_data = params_with_data %>%
filter(Antibody_Mean_LL > max(Antibody_Mean_LL)-2)
#head(params_with_data)
all_combo_data_high_Q_max = aggregate(sim_data_R_over_N_high_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_high_Q_max = dplyr::select(all_combo_data_high_Q_max,
time = time,
all_combo_high_Q_max = sim_data_R_over_N_high_Q)
all_combo_data_low_Q_min = aggregate(sim_data_R_over_N_low_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_low_Q_min = dplyr::select(all_combo_data_low_Q_min,
time = time,
all_combo_low_Q_min = sim_data_R_over_N_low_Q)
all_combo_data_median_max = aggregate(sim_data_R_over_N_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_median_max = dplyr::select(all_combo_data_median_max,
time = time,
all_combo_median_max = sim_data_R_over_N_median)
all_combo_data_median_min = aggregate(sim_data_R_over_N_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_median_min = dplyr::select(all_combo_data_median_min,
time = time,
all_combo_median_min = sim_data_R_over_N_median)
ML_output = antibody_top_2_LL_params_and_sim_data %>%
filter(Antibody_Mean_LL == max(Antibody_Mean_LL))
ML_output = dplyr::select(ML_output, time = time,
ML_median = sim_data_R_over_N_median,
ML_high_Q = sim_data_R_over_N_high_Q,
ML_low_Q = sim_data_R_over_N_low_Q)
comp_data = join(ML_output, all_combo_data_high_Q_max)## Joining by: timecomp_data = join(comp_data, all_combo_data_low_Q_min)## Joining by: timecomp_data = join(comp_data, all_combo_data_median_min)## Joining by: timecomp_data = join(comp_data, all_combo_data_median_max)## Joining by: timecomp_data_melt = melt(comp_data, id.vars = c("time",
"ML_high_Q", "ML_low_Q",
"all_combo_high_Q_max",
"all_combo_low_Q_min",
"all_combo_median_min",
"all_combo_median_max"))
ML_Q_Rib_Col_lab = "95% Simulation Quantiles \n (MLE for antibody data)"
All_combo_Med_Rib_Col_lab = "Simulation Median \n (all 2 LL combinations (for antibody data))"
All_combo_Q_Rib_Col_lab = "95% Simulation Quantiles \n (all 2 LL combinations (for antibody data))"
comp_data_melt$ML_Q_Rib_Col = ML_Q_Rib_Col_lab
comp_data_melt$All_combo_Med_Rib_Col = All_combo_Med_Rib_Col_lab
comp_data_melt$All_combo_Q_Rib_Col = All_combo_Q_Rib_Col_lab
fill_vec = c("pink", "skyblue", "grey70")
names(fill_vec) = c(All_combo_Med_Rib_Col_lab, ML_Q_Rib_Col_lab, All_combo_Q_Rib_Col_lab)
p = ggplot() +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = all_combo_low_Q_min,
ymax = all_combo_high_Q_max, fill = All_combo_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = all_combo_median_min,
ymax = all_combo_median_max, fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = ML_low_Q,
ymax = ML_high_Q, fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
geom_line(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
geom_point(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red"),
labels =
c("Simulation Median \n (MLE)")) +
xlab("Days since March 1 2020")+
ylab(expression(paste(frac(R,N)))) +
geom_ribbon(data = nyc_antibdoy_df,aes(x = times, ymin = lower_CI,
ymax = upper_CI),
fill = 'blue',
alpha = 0.5) +
geom_point(data = nyc_antibdoy_df,
aes(x = times, y = Prop_Positive), color = 'blue') +
geom_line(data = nyc_antibdoy_df,
aes(x = times, y = Prop_Positive), color = 'blue')
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/top_2_LL_sim_plots/top_2_LL_via_antibody_comp_plots/b_p_profile_Observed_Antibody_data_vs_Ribbon_Plot_R_over_N_over_time_simulation_from_b_p_profile__2_LL_antibody_from_antibody_b_p_profile_peak_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2C_Q1 (b_p Profile)
all_combo_data_high_Q_max = aggregate(sim_data_C_Q1_high_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_high_Q_max = dplyr::select(all_combo_data_high_Q_max,
time = time,
all_combo_high_Q_max = sim_data_C_Q1_high_Q)
all_combo_data_low_Q_min = aggregate(sim_data_C_Q1_low_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_low_Q_min = dplyr::select(all_combo_data_low_Q_min,
time = time,
all_combo_low_Q_min = sim_data_C_Q1_low_Q)
all_combo_data_median_max = aggregate(sim_data_C_Q1_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_median_max = dplyr::select(all_combo_data_median_max,
time = time,
all_combo_median_max = sim_data_C_Q1_median)
all_combo_data_median_min = aggregate(sim_data_C_Q1_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_median_min = dplyr::select(all_combo_data_median_min,
time = time,
all_combo_median_min = sim_data_C_Q1_median)
ML_output = antibody_top_2_LL_params_and_sim_data %>%
filter(Antibody_Mean_LL == max(Antibody_Mean_LL))
ML_output = dplyr::select(ML_output, time = time,
ML_median = sim_data_C_Q1_median,
ML_high_Q = sim_data_C_Q1_high_Q,
ML_low_Q = sim_data_C_Q1_low_Q)
comp_data = join(ML_output, all_combo_data_high_Q_max)## Joining by: timecomp_data = join(comp_data, all_combo_data_low_Q_min)## Joining by: timecomp_data = join(comp_data, all_combo_data_median_min)## Joining by: timecomp_data = join(comp_data, all_combo_data_median_max)## Joining by: timecomp_data_melt = melt(comp_data, id.vars = c("time",
"ML_high_Q", "ML_low_Q",
"all_combo_high_Q_max",
"all_combo_low_Q_min",
"all_combo_median_min",
"all_combo_median_max"))
ML_Q_Rib_Col_lab = "95% Simulation Quantiles \n (MLE)"
All_combo_Med_Rib_Col_lab = "Simulation Median \n (all 2 LL combinations)"
All_combo_Q_Rib_Col_lab = "95% Simulation Quantiles \n (all 2 LL combinations)"
comp_data_melt$ML_Q_Rib_Col = ML_Q_Rib_Col_lab
comp_data_melt$All_combo_Med_Rib_Col = All_combo_Med_Rib_Col_lab
comp_data_melt$All_combo_Q_Rib_Col = All_combo_Q_Rib_Col_lab
fill_vec = c("pink", "skyblue", "grey70")
names(fill_vec) = c(All_combo_Med_Rib_Col_lab, ML_Q_Rib_Col_lab, All_combo_Q_Rib_Col_lab)
hosp_comp_df = read.csv("../Generated_Data/hosp_comp_df.csv")
obs_hosp_df = hosp_comp_df %>%
filter(variable == "HOSPITALIZED_COUNT") %>%
dplyr::select(-Date, -Day_of_Week, time = times)
p = ggplot() +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = all_combo_low_Q_min,
ymax = all_combo_high_Q_max, fill = All_combo_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = all_combo_median_min,
ymax = all_combo_median_max, fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = ML_low_Q,
ymax = ML_high_Q, fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
geom_line(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
geom_point(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red"),
labels =
c("Simulation Median \n (MLE)")) +
xlab("Days since March 1 2020")+
ylab(expression(paste(C_Q1))) +
geom_point(data = obs_hosp_df, aes(x = time, y = value), color = 'blue') +
geom_line(data = obs_hosp_df, aes(x = time, y = value), color = 'blue')
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/top_2_LL_sim_plots/top_2_LL_via_antibody_comp_plots/b_p_profile_Obs_COVID_hosp_cases_vs_Ribbon_Plot_C_Q1_over_time_simulation_from_b_p_profile__2_LL_antibody_from_antibody_b_p_profile_peak_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2Compare to observed data (b_p Profile)
#all_combo_melt_data = melt(all_combo_data, id.vars = c("time", "combo_num"))
all_combo_data_high_Q_max = aggregate(sim_data_high_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_high_Q_max = dplyr::select(all_combo_data_high_Q_max,
time = time,
all_combo_high_Q_max = sim_data_high_Q)
all_combo_data_low_Q_min = aggregate(sim_data_low_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_low_Q_min = dplyr::select(all_combo_data_low_Q_min,
time = time,
all_combo_low_Q_min = sim_data_low_Q)
all_combo_data_median_max = aggregate(sim_data_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_median_max = dplyr::select(all_combo_data_median_max,
time = time,
all_combo_median_max = sim_data_median)
all_combo_data_median_min = aggregate(sim_data_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_median_min = dplyr::select(all_combo_data_median_min,
time = time,
all_combo_median_min = sim_data_median)
ML_output = antibody_top_2_LL_params_and_sim_data %>%
filter(Antibody_Mean_LL == max(Antibody_Mean_LL))
ML_output = dplyr::select(ML_output, time = time,
ML_median = sim_data_median,
ML_high_Q = sim_data_high_Q,
ML_low_Q = sim_data_low_Q)
comp_data = join(ML_output, all_combo_data_high_Q_max)## Joining by: time## Joining by: time
comp_data = join(comp_data, all_combo_data_low_Q_min)## Joining by: time## Joining by: time
comp_data = join(comp_data, all_combo_data_median_min)## Joining by: time## Joining by: time
comp_data = join(comp_data, all_combo_data_median_max)## Joining by: time## Joining by: time
true_data = dplyr::select(Observed_data, time = times,
Observed_Data = Y)
comp_data = join(comp_data, true_data)## Joining by: time## Joining by: time
comp_data_melt = melt(comp_data, id.vars = c("time",
"ML_high_Q", "ML_low_Q",
"all_combo_high_Q_max",
"all_combo_low_Q_min",
"all_combo_median_min",
"all_combo_median_max"))
comp_data_melt$ML_Q_Rib_Col = "95% Simulation Quantiles \n (MLE)"
comp_data_melt$All_combo_Med_Rib_Col = "Simulation Median \n (all 2 LL combinations)"
comp_data_melt$All_combo_Q_Rib_Col = "95% Simulation Quantiles \n (all 2 LL combinations)"
fill_vec = c("Simulation Median \n (all 2 LL combinations)" = "pink", "95% Simulation Quantiles \n (MLE)" = "skyblue", "95% Simulation Quantiles \n (all 2 LL combinations)" = "grey70")
p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = all_combo_low_Q_min,
ymax = all_combo_high_Q_max, fill = All_combo_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(aes(x = time, ymin = ML_low_Q,
ymax = ML_high_Q, fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(aes(x = time, ymin = all_combo_median_min,
ymax = all_combo_median_max, fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
geom_line(aes(x = time, y = value, color = variable)) +
geom_point(aes(x = time, y = value, color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red","blue"),
labels =
c("Simulation Median \n (MLE)",
"Observed",
"Data Used For Fitting")) +
xlab("Days since March 1 2020")+
ylab("Observed Monthly Cases")
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/top_2_LL_sim_plots/top_2_LL_via_antibody_comp_plots/b_p_profile_Obs_daily_COVID_cases_vs_Ribbon_Plot_simulated_cases_over_time_simulation_from_b_p_profile_2_LL_antibody_from_antibody_profile_peak_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = log(all_combo_low_Q_min),
ymax = log(all_combo_high_Q_max), fill = All_combo_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(aes(x = time, ymin = log(ML_low_Q),
ymax = log(ML_high_Q), fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(aes(x = time, ymin = log(all_combo_median_min),
ymax = log(all_combo_median_max), fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
geom_line(aes(x = time, y = log(value), color = variable)) +
geom_point(aes(x = time, y = log(value), color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red","blue"),
labels =
c("Simulation Median \n (MLE)",
"Observed",
"Data Used For Fitting")) +
xlab("Days since March 1 2020")+
ylab("Observed Monthly Cases")
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/top_2_LL_sim_plots/top_2_LL_via_antibody_comp_plots/b_p_profile_log_Obs_daily_COVID_cases_vs_Ribbon_Plot_simulated_cases_over_time_simulation_from_2_LL_antibody_from_antibody_profile_peak.png"))
print(p)
dev.off()## quartz_off_screen
## 2Profile analysis plots (b_p profile)
p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = p_S,
y = Antibody_Mean_LL)) +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"p_S_vs_Antibody_LL_", model_name,
"_model_antibody_LL_from_b_p_Profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = b_a,
y = Antibody_Mean_LL)) +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"b_a_vs_Antibody_LL_", model_name,
"_model_antibody_LL_from_b_p_Profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = R_0,
y = Antibody_Mean_LL)) +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"R_0_vs_Antibody_LL_", model_name,
"_model_antibody_LL_from_b_p_Profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2top_2_LL_end_subset_with_antibody_LL$duration_of_symp_1 = 1/top_2_LL_end_subset_with_antibody_LL$phi_S
top_2_LL_end_subset_with_antibody_LL$duration_of_symp_2 = 1/top_2_LL_end_subset_with_antibody_LL$gamma
top_2_LL_end_subset_with_antibody_LL = top_2_LL_end_subset_with_antibody_LL %>%
mutate(duration_of_symp = duration_of_symp_1 + duration_of_symp_2)
top_2_LL_end_subset_with_antibody_LL$gamma_total = 1/top_2_LL_end_subset_with_antibody_LL$duration_of_symp
top_2_LL_end_subset_with_antibody_LL = top_2_LL_end_subset_with_antibody_LL %>%
mutate(Beta = R_0*gamma_total)
top_2_LL_end_subset_with_antibody_LL = top_2_LL_end_subset_with_antibody_LL%>%
mutate(R_0_P = (Beta*b_p)/phi_U,
R_0_A = (Beta*b_a *(1-p_S))/phi_S,
R_0_S_1 = (Beta*p_S)/phi_S,
R_0_S_2 = (Beta*(1-p_H_cond_S)*p_S)/gamma)
top_2_LL_end_subset_with_antibody_LL = top_2_LL_end_subset_with_antibody_LL %>%
mutate(R_0_NGM = R_0_P + R_0_A + R_0_S_1 + R_0_S_2)
antibody_top_2_LL_from_b_p_profile_top_2_LL = top_2_LL_end_subset_with_antibody_LL %>%
filter(Antibody_Mean_LL > max(Antibody_Mean_LL)-2)
nrow(antibody_top_2_LL_from_b_p_profile_top_2_LL)## [1] 30range(antibody_top_2_LL_from_b_p_profile_top_2_LL$R_0)## [1] 3.696721 23.921671p = ggplot(data = antibody_top_2_LL_from_b_p_profile_top_2_LL,
aes(x = b_a,
y = R_0)) +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"b_a_vs_R_0_", model_name,
"_model_top_2_antibody_LL_from_b_p_profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_b_p_profile_top_2_LL,
aes(x = b_a,
y = log(R_0))) + geom_hline(yintercept = log(3), color = 'orange') +
geom_hline(yintercept = log(4), color = 'purple') +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"b_a_vs_log_R_0_", model_name,
"_model_top_2_antibody_LL_from_b_p_profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_b_p_profile_top_2_LL,
aes(x = b_p,
y = R_0)) +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"b_p_vs_R_0_", model_name,
"_model_top_2_antibody_LL_from_b_p_profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_b_p_profile_top_2_LL,
aes(x = b_q,
y = R_0)) +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"b_q_vs_R_0_", model_name,
"_model_top_2_antibody_LL_from_b_p_profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2range(antibody_top_2_LL_from_b_p_profile_top_2_LL$b_q)## [1] 0.1422536 0.2654400hist(antibody_top_2_LL_from_b_p_profile_top_2_LL$R_0)
Calculate R_0 NGM for top_2_LL of b_p profile
\[\begin{equation} R_{0_{NGM}} = \frac{\beta_P}{\phi_U} + \frac{\beta_A (1-p_S)}{\phi_S} + \frac{\beta p_S}{\phi_S} + \frac{\beta (1-p_{\text{H_cond_S}}) p_S}{\gamma} \end{equation}\]
In terms of model parameters: \[\begin{equation} R_{0_{NGM}} = \frac{\beta*b_p}{\phi_U} + \frac{\beta*b_a (1-p_S)}{\phi_S} + \frac{\beta p_S}{\phi_S} + \frac{\beta (1-p_{\text{H_cond_S}}) p_S}{\gamma} \end{equation}\]
p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = R_0_NGM)) +
geom_density() +
rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/b_p_Profile/", model_name,
"_b_p_profile_density_plot_of_R_0_NGM_for_all_parameter_combinations_within_2LL_of_profile_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = R_0_NGM)) +
geom_histogram() +
rahul_man_figure_theme
p## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
png(file = paste0("../Figures/Profiles/", model_name, "_Model/b_p_Profile/", model_name,
"_b_p_Profile_histogram_of_R_0_NGM_for_all_parameter_combinations_within_2LL_of_profile_MLE_fit_to_cases.png"))
print(p)## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = R_0_A,
y = R_0_S_1 + R_0_S_2)) +
geom_point() +
rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/b_p_Profile/", model_name,
"_b_p_Profile_R_0_A_vs_R_0_S_for_all_parameter_combinations_within_2LL_of_profile_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = R_0,
y = R_0_NGM)) +
geom_point() +
rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/b_p_Profile/", model_name,
"_b_p_Profile_R_0_vs_R_0_NGM_for_all_parameter_combinations_within_2LL_of_profile_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = R_0,
y = R_0_S_1 + R_0_S_2)) +
geom_point() +
rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/b_p_Profile/", model_name,
"_b_p_Profile_R_0_vs_R_0_S_for_all_parameter_combinations_within_2LL_of_profile_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = R_0_NGM,
y = Antibody_Mean_LL)) +
geom_point() +
rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/b_p_profile/", model_name,
"_b_p_profile_R_0_NGM_vs_Likelihood_with_respect_to_antibody_for_all_parameter_combinations_within_2LL_of_profile_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = b_a,
y = R_0_NGM)) +
geom_point() +
rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/b_p_profile/", model_name,
"_b_p_profile_b_a_vs_R_0_NGM_for_all_parameter_combinations_within_2LL_of_profile_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_b_p_profile_top_2_LL,
aes(x = R_0_NGM)) +
geom_histogram() +
rahul_man_figure_theme
p## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"R_0_NGM_histogram_", model_name,
"_model_top_2_antibody_LL_from_b_p_profile_peak_LL.png"))
print(p)## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_b_p_profile_top_2_LL,
aes(x = R_0,
y = R_0_NGM,
color = b_a)) +
geom_point() +
scale_color_viridis_c() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"R_0_vs_R_0_NGM_color_by_b_a", model_name,
"_model_top_2_antibody_LL_from_b_p_profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_b_p_profile_top_2_LL,
aes(x = R_0,
y = R_0_NGM,
color = b_p)) +
geom_point() +
scale_color_viridis_c() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"R_0_vs_R_0_NGM_color_by_b_p", model_name,
"_model_top_2_antibody_LL_from_b_p_profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2